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On this episode of The Founder's Sandbox, Brenda speaks with David Hirschfeld, owner of 18 year old business Tekyz, that boasts a hyperexceptional development team building high “ticket” products in the B2B space. They speak about ways in which AI is a gamechanger, how Tekyz backs their work for clients with relentless pursuit of quality, and how Tekyz practices ruthless compassion,to protect the company and enable it to grow Having collaborated with over 90 startups, he developed the Launch 1st Method—a systematic approach that minimizes risks and accelerates software company success with reduced reliance on investor funding, after observing that many companies launch a product first and then fail at a later stage – With Tekyz approach of Launch 1st exceptional founders are in love with the problem not the product.   David's expertise bridges cutting-edge AI technologies, workflow optimization, and startup ecosystem dynamics. When not transforming business strategies, he enjoys woodworking, golfing, and drawing leadership insights from his experience raising four successful sons. You can find out more about David and Tekyz at: https://sites.google.com/tekyz.com/david-hirschfeld?usp=sharing https://tekyz.podbean.com/ - Scaling Smarter Episodes. www.scalingsmarter.net - Schedule an interview https://www.linkedin.com/in/dhirschfeld/ https://x.com/tekyzinc https://www.linkedin.com/in/dhirschfeld/ https://www.facebook.com/dmhirschfeld       transcription:  00:04 Welcome  back to the Founders Sandbox.  I am Brenda McCabe, the host here on this monthly podcast, now in its third season. This podcast reaches entrepreneurs, business owners that are scaling. 00:31 professional service providers that provide services to these  entrepreneurs, and corporate board directors who, like me, are building resilient, purpose-driven, and scalable businesses with great corporate governance. My guests to this podcast are business owners themselves, professional service providers, and corporate directors who, like me, want to  use the power of the private company to build a better 01:01 world through storytelling with each of my guests in the sandbox. My goal is to provide a fun sandbox environment where we can equip one founder at a time to build a better world through great corporate governance. So today I'm absolutely delighted to have as my guest, David Hirschfeld. David is the owner and CEO of Techies, 17 or 18 year old business now that boasts 01:29 a hyper exceptional development team that are building high ticket products in the B2B space.  Welcome David to the Founder Sandbox. Hi Brenda and thanks for having me. Great. So I'm delighted that we  actually did a dry run in February.  We've known each other for some time  and AI, we're going to be touching on AI.  And I think that the world of AI 01:58 particularly in software development,  has changed significantly since we last spoke in February. So we're going to be getting into  some, I think, novel concepts for  the listeners of the Founder Sandbox. So I wanted to, you I always talk about how I like to work with  growth stage companies  that  typically are bootstrapped  and 02:26 It's only at a later stage do they seek institutional investment  by building great corporate governance  and reducing the reliance on investor funding  until such a time that they choose the right type of investors that can help them scale. So when I found out what you do at Techies with Launch First  and the type of work you do in B2B businesses, I absolutely wanted to have you here  on the  founder sandbox. 02:56 So let's jump right in, right? I think I'm eager to learn more about how to scale your bespoke development at Techies, right? To scale my own business? Okay. So there's a lot of different aspects to scaling my business and I bootstrapped for the last 18 years. 03:25 I've never taken any investment  with techies.  And I've  done that very specifically because  it gives me a lot of freedom. I don't have  a reporting structure that I have to worry about. That doesn't mean that I can be lazy with my team.  To grow my team, I have a philosophy 03:52 that I only hire people that are smarter than I am.  And the  ones that are in a position to hire, they can only hire people that are smarter than them. And by  really sticking to this philosophy, even though sometimes it makes us grow a little slower than we would like, it means that when we bring in people, those people  contribute immediately and contribute in a way 04:21 that it's our job to get the impediments out of their way and to facilitate them  so that they can contribute and  help us grow the company. So I call it  the ball rolls uphill  here because  my job is to support everybody that is above me, which is everybody. And then the people that I support directly, their job is to support the people that are above them. 04:51 Because if we're hiring correctly, then  people that we bring in can contribute in the area that we're bringing them in way more than the person that's hiring them. Okay. Thank you for that. So before you launched Techies, you had a career in companies like,  I  believe, Computer Associates, right? Texas Experiments and TelaMotorola. 05:19 There was a period of time between your  experience in these large corporations before your launch tech is where you actually had your own startup  and  you sold it in 2000, right? And I believe you also learned perhaps with the second startup about how hard it is to find product market fit. Can you talk to that for my listeners, please? 05:46 I don't know that it's that hard to find product market fit. It depends if that's your focus or not. If your focus is to nail down product market fit, then  it's not that hard to determine whether you can achieve that or not fairly quickly.  You can do that by  selling your product to potential customers.  That sounds strange. Of course, we all want to sell our products, but 06:14 What I'm suggesting is you start selling your product before you have a product, before you have a  full product. And I don't mean an MVP, but a design prototype. You go out to the market and you start to sell it. If you have product market fit and you've identified the early adopter in your market and you know that they have a very high  need from a perception perspective  and there's a big cost to the problem that you're solving. 06:45 then you can offer them a big enough value upfront that they'll buy your product early and you can prove that there's a market for your product and they'll buy it in enough numbers that you  can achieve a measurable  metric, which I kind of call the golden ratio, which is three to one in terms of what is the lifetime value of a customer versus what does it cost to acquire that customer? And you can get to that three to one ratio. 07:13 in a prelaunch sale model before you ever started developing your product as a way of proving product market fit. Or you pivot quickly and cheaply because you're not having to rebuild a product that you've built in the wrong way. Or you  fail fast and cheap. And every entrepreneur's first goal should be to fail fast and cheap. know that sounds backwards, but that should be your goal is that you can fail fast and cheap or if you 07:42 If you fail to fail fast and cheap, that means you've found a path to revenue  and  product market fit. And now you know you have a viable business. making the investment to build the product  is a no brainer.  And you came upon this methodology, right? Yes.  because you did yourself when you had your first company, you did not understand the funding part, right?  Can you talk? 08:12 a bit about your specific example and then how that's informed now 17 years of techies and over 90 projects with startups. Okay. So my first company was Bootstrap. Okay.  And that one was successful and we grew it despite  me, it was me and a partner. And  despite ourselves, we grew it  over eight years. 08:39 where he ended up with 800 customers in 22 countries and sold it to a publicly traded firm out of Toronto. That was in the product food, snack food distribution business because that was what our product was focused on. So I started another company about five years later, not realizing the things that I did the first time. 09:08 that made it  so successful,  which really fit the launch first model to a large degree.  But the second time I built a product that would have been successful had I followed my first model,  but I didn't. So I went the route of building an MVP and getting customers on a free version of it, and then going out and trying to raise money, which is the very classic approach that the SaaS products 09:38 take now.  And the problem is with that approach is that you end up digging a really deep hole  in terms of the investment that you make to build the product with enough functionality that you can convince people it's worth putting an investment in and you're not generating any revenue at the time. And I should have just started selling the product and generating subscription revenue right from the beginning. First of all, I would have been able to  raise money much more easily. 10:08 Secondly, I would have not needed to raise money as much if I'd focused on sales. The problem with a lot of founders is they fall in love with their product. They believe that people will buy it at enough numbers and that investors will see the potential. they're afraid of sales. I've fallen into this trap before too. I've done it both ways. And I can tell you selling early 10:38 and staying focused on the customer and the problem are the way to be successful. So founders who I find are consistently successful, they are focused on the problem, they love the problem. The product is just the natural conclusion to solving the problem, not something to be in love with. They spend their time talking to customers about the problems.  So how does a potential customer find you and work with you? 11:08 Oh, they can find me at Techies or they can find me at LaunchFirst, was spelled launch1st.com. And they can find me on LinkedIn. And then to work with me, it's just give me a call, send me an email, we'll set up a Zoom. I'll start to learn about what you're trying to accomplish and what your requirements are. And I'll typically spend quite a bit of time with any potential clients. 11:39 in  one to usually multiple calls or Zooms, learning and  creating estimates and doing a lot of work in advance with the idea that there'll be a natural conclusion at the end of this that they'll wanna start working with me in a paid fashion. So there's a lot of value that my clients get from me whether they end up contracting me or not.  And how, again, back to,  thank you for that and that. 12:08 how to contact you will be in the show notes. But what types of sectors do you work in?  You know, in your introduction, I talk about high ticket B2B, right?  who are the,  so  what founder that's has some idea today?  What would be  their call to action to find techies? And what would you, is it launch first before you go down? 12:35 No, it's not necessarily. It may be an existing company that  is trying to implement AI or implement workflow automation, or they have a project and they don't have the IT team or capacity to handle it.  We love those types of projects. It might be an existing startup that is struggling with their software development team and they're not 13:04 getting  to the end goal that they're expecting and the product's buggy, it's taking too long,  there's constant delays, they're way over budget  and they  need to get this thing done. And  I call those recovery projects,  they're probably my favorite because people  recognize very quickly  the difference  that we bring. 13:33 and they really, really appreciate us.  As far as what sectors,  business sectors,  healthcare, law enforcement,  prop tech, real estate, finance,  entertainment, I mean, we work in  many, many different sectors over the last 18 years.  So  regardless in  B2B, B2B2C,  not so much e-commerce unless there's some 14:03 complex workflow associated with your particular e-commerce, but there's lots of really good solutions for e-commerce that  don't require developers to be involved.  But  mobile, web, IoT,  definitely everything is AI now. Absolutely. And in fact, when we last spoke,  I'd like to say that you started to drink your own Kool-Aid at Techies. 14:33 you're starting to actually use AI automation for internal functions as well as projects at Techies. So can you walk my listeners through how you're using  AI automation  and what's the latest with agentic AI?  So let's do the first.  Yeah,  okay.  So there are a bunch of questions there. So  let me start with 15:02 that we're building products internally  at Techies to help us with our own workflows.  These products though  are  applicable to almost any development company or any company with a development team.  Some of them are, and some of them are applicable to companies that are, well, so one product  is  putting voice capability in front of project management tool. 15:32 and we use JIRA and JIRA is an incredibly technical tool for project managers and development teams to use to  their projects, requirements, their  track bugs, all of that.  And so your relationship with what I call relationship with project management is very technical one. If you're a client, some clients are willing to  go through the learning curve so that they can enter their own... 15:59 bugs and feature requests and things like that directly into JIRA. Most don't.  They  want to send us emails, which is fine,  and just give us a list of what's going on and the problems that they're finding or the things that they need  for a future version and the planning and the documentation, everything else. This is a real technical thing. We're going to make it a very natural personal relationship by  adding voice in front of all this so that you can 16:29 be sharing your screen with your little voice app and say, just found a problem on the screen.  And  the voice app can see the screen. It knows your project. It knows your requirements. And it can identify problems on the screen that you may not have even noticed.  And it can also prevent you from reporting bugs that have already been reported and tell you when they're planned to be built.  And all of this just with a verbal discussion with the app. 16:58 that basically knows your project.  Kind of like talking to a project manager in real time, but they don't have to write down notes and  they can instantly  look up anything about your project in terms of what's been reported in terms of bugs or feature requests  and update them or create new ones for you or just report them to you and tell you when things are planned to be built and released or. 17:24 where they've already been released and maybe you need to clear your cache so you can see the change, whatever.  Yeah. So it be like an  avatar, but it's trained and it's  specific to Jira  in your case?  In the first version, it's actually being built architected so that we'll be able to add other project management tools to it besides Jira in the future.  to begin with, because we use Jira,  it's going to work directly with Jira to start. 17:54 And this, by the way, you asked about agentic workflows,  right? So we're  building an agentic workflow  in this tool where we have more  different agents  that work together to resolve these issues.  so we have an agent that reads and writes documentation to JIRA.  We have an agent that communicates with  the user and the user might be the programmer 18:23 might be a person in QA, it might be a client for a lot of different things. And we have an analyst agent that when the person talks, the voice agent says to the analyst agent, here's what I understand. Here's the information I just got. Go do your work and come back and get me the answer. And it'll speak to the JIRA agent to get the information. It will also speak directly to us. 18:52 a vector database, which is a database where all the documentation from that project  is ingested into our own  separate AI model so that the context of all the communication is about their project and doesn't go off into other directions.  And then can  get back. So this is an agentic workflow.  The idea of 19:20 agents is like everybody keeps talking about agents. Not everybody is really clear on what that even means. Can you define  that?  an agent is an AI  model  that you can interact with that is focused on  one specific area of expertise.  So if it's a travel agent, the word agent fits very well there, then their expertise would be on everything related to 19:49 travel and booking travel and looking up  options and comparing prices. And  that would be an AI  travel agent.  So that's very different from an AI project management agent, very different from an AI financial analyst agent.  So each agent specializes in its own area of expertise and may draw from specific 20:18 repositories of information that are  specific to that particular agent's area of expertise.  And they actually look from the perspective of that type of person, if it was a person. So,  and so they'll respond in a way that is consistent with how somebody who is a project manager would respond to you when you're talking to them, asking you questions about your requirements, knows what 20:46 information it needs to be able to assess it properly, things like that.  wouldn't be very good about travel because that's  not its area of expertise. Right.  So is it  common to have companies that are creating with their own large language model, right? Or their workflow processes internally to the company to create their own agent AI? 21:14 Or is there a marketplace now where you can say, want this type of agent to get in. This is a very basic question, but  do build it? Right. Or do you buy it? Or is it something in between? It's something in between.  So there are tools that allow you to  basically collect agents out there.  And there's a difference between an agent and a context.  Cause you hear a lot about model context switching and things like, don't know. 21:44 if your audience knows these things.  Or model context protocol. A context is not an agent, but it has some agent capabilities because it's kind of specializing your model in a certain area. But you would use this, but you're not, if it's a true agent, then  it's probably tied to its own vector database. 22:12 that gets trained with specific information. It might be company's information. It might be information, let's say if I'm a security agent, then I'm going to be trained on the entire NIST system as well as all of my security architecture that's currently in place. And that so that it could monitor and 22:41 assess instantly whether there's  security vulnerabilities, which you wouldn't ask Chet GPT to do that. No. Right? Because it couldn't. Because it doesn't know  anything about your organization or environment. And  it  really also doesn't know how to prioritize  what matters and what doesn't at any given moment. Whereas a  security agent, that would be what it does. 23:10 I don't know if I answered that question. Oh, bad thing about building or buying.  there are- Or something in between,  Yeah. So there are tools that you can use to build workflows  and  bring in different agents that already exist. And  you can use something like OpenAI or Claude  and  use it to create an agent and give it some intelligence and- 23:37 give it a specific, in this case, you're giving it a specific context.  You could even  tie a special machine learning database to it  and make it even more agentic in that way.  And then  build these workflows where you're  like, let's say a marketing workflow,  where you're saying you first go out and research all the people who are your  ideal customer profile. 24:07 I was going to say ICP, but I'm trying not to use acronyms because not everybody knows every acronym.  Ideal customer profile.  And then it finds all these people that fit your ideal customer profile. Then it says, well, which of these people  are  in the countries that I do business? And then it illuminates the ones that aren't. then which ones, and it may be using  the same agent or different agents to do this.  Then once it's nailed it down to the very discrete 24:37 set of customers. Now  the next step in the workflow is, okay, now  enrich their data  of these people to find their email and other ways of contacting them as well as other information about them so that I have a really full picture of what kind of activity are they active  socially? they speak? Do they post? What are they speaking about? What are they posting about? What events are they going to? Things like that. 25:07 So that would be the next step and that'd be an agent that's doing all the enriching.  And then after that, the next step would be to call basically call a writing agent to go do, am I writing an email? Am I writing a LinkedIn connection post? Am I doing both?  Set up a drip campaign and start reaching out to these people one at a time  with very customized specific language, right? That  is in your voice. 25:34 It doesn't sound like it's written by a typical AI outreach thing. All right, so these would be  steps in a workflow that you could use with several different tools to build the workflows and then calling these different agents. 25:48 Let's go back to the launched first. What would be a typical engagement with a company? you know, they, um, the founders that have the greatest success in your experiences are the ones that love the problem space and not the product. All right. So walk my listeners through. 26:17 What a typical engagement. it's staff augmentation. it  full out  outsourcing? it tech?  because it's very complex. I can touch so many. can touch high  tech and high ticket B2B products,  sector agnostic. what,  put some legs on this for my listeners, please. Sure, sure. We're not. 26:46 so much a staff augmentation company, although we'll do that if asked to, but that's not  the kind of business that we  look for.  We look for project type work. So a typical engagement for launch first would be  somebody wants to launch a product, they're in the concept phase. We help refine the concept and we build out,  help that we do the design and then we build a high fidelity prototype, which is a design prototype. 27:16 When I demo a design prototype to somebody, they think that they're looking at a finished product,  but  it's not. It doesn't actually do anything. It just looks like it  does everything.  So it's very animated set of mock-ups is another way to look at it.  And it's important because you can build out the big vision of the product this way in a couple of months, whereas 27:46 it takes instead of, you so you're looking at the two year roadmap when we're done of the product. If we were to build an MVP, then you're going to see a very limited view of the product and it's going to cost a lot more to build that MVP than it takes to build this design prototype. Now we're in the process of doing this. We're also nailing down who that early adopter is. And there's a, there's a very, 28:14 metrics driven methodology for doing this.  your launch first. Within launch first, right. Okay. All right. And then  we'll help the client build a marketing funnel and help them start to generate sales.  We're not doing the selling, they're doing the selling. And it's important that founders do the selling because they need to hear what customers are saying about the thing they're demoing, why they want it, why they don't. 28:43 So that  if we need to pivot, which we can do easily and quickly with a design prototype,  then we can  pivot and then go and test the model again, two or three or four times in the space of a couple of months.  And we'll either find a path to revenue or accept the fact that this probably isn't the right product for the right time.  But in the process of doing this, you're learning a lot about the market and about the potential customer. 29:13 I want to be clear about something. Almost every founder that comes to  that I meet with, they love the product, not the problem. They started out with a problem that they realized they had a good solution for and they forgot all about the problem at that point. And so I spend a lot of time with founders  reminding them why the  problem is all that matters  and what that means and how to approach customers, potential customers so that 29:41 you're syncing with their problems, not telling them about this product that you're building because nobody cares about your product. All they care about is what they're struggling with.  And if they believe that you really understand that, then they  care about whether you can solve that problem for them or 30:01 And can  I be  audacious and ask you what a typical engagement duration is like? So this would be for launch first. Yes. If it's a,  and our hope is that they'll  find a path to revenue and start building the product and engage us for the development. Cause that's really our business is building the products.  So, but it's not a requirement.  And,  and our typical engagement with our clients are several years. 30:32 Not all of them, but most of them, would say. Once they start working with us, they just continue to work with us until they decide to bring in their own in-house team  or they fail eventually, which many of our clients do, which is why I  created Launch First. Right. You often talk about your hyper exceptional team at Techies. What is it that's so highly exceptional? Talk to me about your team. Where are they? Yeah. 31:02 And if you go to my website, which is tekyz.com,  you'll see at the very top of it  in the header above the fold, it says hyper exceptional development team. And I don't expect people to believe me  because I write that down or I tell them that I expect them to ask me, well, what does that mean? Do you have evidence? And  that's the question I want to get because I do.  Because when you work in an exceptional manner, 31:31 as a natural consequence of working that way, you produce certain artifacts  that the typical development teams don't produce. And I'm not saying there aren't other exceptional teams, but they're really few and far between. And what makes a team exceptional is a constant need to  improve their ability to deliver  and the level of quality that they deliver as well and the speed at which they develop. It's all of these things. 31:59 So,  and, you know, after 18 years, we've done a lot of improving and a lot of automation internally,  because  that allows our team to work in a really disciplined protocol manner without having to feel like they're under the strict  discipline and protocol of,  you  know, a difficult environment to work in.  And so we  create automation everywhere we can. The voice... 32:27 tool is one of those automations.  The way we  do status reports, it's very clear at the level of detail that we provide every week  to every client in terms of status reports  where we're showing here's what we estimated, here's the actual, here's our percent variance  on how much time we spent and how much it's costing.  We want to always be within 10 % above or below. 32:56 Either  being above or below is not,  know,  the fact that we're ahead of that doesn't necessarily mean that's a good thing, right? So we want to be accurate with our estimates.  And we are typically within 10%. In fact, our largest customer last year, we did a retrospective and we were within six and a half percent of what our estimates were for the whole year.  and that's a,  we're pretty happy with that number. 33:24 I think most teams are looking at many, many times that in terms of variance.  it's not that uncommon for teams to be double or triple what they're or even higher what the actual estimate was. So  when we do invoicing, we invoice for each person at their rate. 33:50 based on their level of expertise, which is all part of our agreement upfront. So the client is very transparent every month for the hours that they work. And we attach the daily time sheets to every invoice. I'm the only company I know of right now that does that. I know there are others. I've seen monthly, but I've never seen daily. Yeah. Yeah. Because for me, if I could ask, well, 34:18 why did this person ask a work that many hours that last month? What did they do? I hate that feeling that I get when somebody asks that question. I know they're only asking because they have to justify it to somebody else or whatever the reason, but I don't like the way it feels because it feels like my integrity is being questioned. I don't get upset at people for asking me that. I just feel like I'm not giving them enough information if they have to ask me that question. So we started about eight years ago. 34:47 providing the daily time sheets because I don't like that question. And we never get questioned on our  invoices ever anymore. I bet you it's informed you  as well in  future  projects,  maybe on  including workflow automation in your own internal processes, right? When you see people's time sheets, right? And you've gone over budget. So it informs you internally. So it's not only for the client. 35:16 I suspect, right? No, it's not. Right. And we use it ourselves to also, because it also helps us looking at our overhead costs because not everything gets built to the client. And so we track all our own times, you know, what we're spending doing what. And we don't get to, it's not like a developer has to spend a lot of time or a QA person or whatever, putting in a lot of detail. We just need a couple of bullets, you know, every day in the time sheet with the, whatever they spend. 35:45 If they spent four hours on one thing and three on another, they'll just break it into two entries just to make it easy.  And that's important for us, or they may be working on two different projects and each project. So when we do the timesheets also every month, we give our clients a breakdown by project. So if we're working on four different projects  for a client  or even one project, but it has four different really 36:15 functional elements that are very clearly different. Like let's say a mobile app and a web app  and a  particular client implementation. Each one of those gets assigned its own project and we break down summaries of the time spent on each of those every month and who spent the time on those, along with the daily time sheets, along with the invoice.  And nobody else does that because it takes a lot of discipline and protocol and you have to have lot of systems in place 36:45 to do that without  literally getting everybody to quit, right? That works for you. And nobody minds doing it because it's easy because of all the systems we put in place to do that.  That's the whole point, right? Right. were  not particularly happy of getting asked that question oftentimes. So eight years ago, you set out to  provide the information on a daily basis, which is incredible.  We started that with blended rates like a lot of companies do. 37:14 And then I didn't like that because at the end of a project when most of it's QA, people would start to get frustrated that they're still getting billed the same blended rate, even though for the more expensive period at the beginning of the project,  I thought, okay, forget this. Well, just bill based on individual.  And then I didn't get those questions anymore, but then I would get questions about individuals on the month. And that's when I started doing the time sheets. 37:43 And like I said, I'm sure there's other companies that do it, but I haven't run into  one or somebody that works with one. So  that's an exceptional thing that we do. But it also allows us to do  really, really good reporting to the client on status on what we've spent our time on, what we're expecting to spend our time on  next week, what we just spent our time on this week, where we are. 38:12 in terms of our plan for the month, things like that.  So let's switch gears, David.  Yeah. Back to  actually the podcast and  some of my guests and listeners  are corporate board directors. So they're sitting on either advisory boards or fiduciary corporate boards.  And with all the hype around AI. 38:39 it's not uncommon for them to be asking, what are we doing, right? For existing companies, right? And  I'd like you to walk my listeners through while it's in the, you know,  in the imaginary realm, what is it? I think any founder today that's actually scaling, right? Has to have some AI element. At least I've even heard you need to have it. 39:08 an AI officer in the company. So what's your take on that? What would you respond to either to your board of advisors, your advisory board, or your board of directors?  So,  and of course, a lot of it depends on the type of company you are. Absolutely. Right. If  you're making  alternative material I-beams, for example,  for skyscraper construction, then 39:37 AI, other than maybe in the design process of these specialized materials,  AI may not be as big a critical factor, although for invoice reconciliation and  distribution and  scheduling and all that, AI could be a huge value to you if you don't have super efficient systems already.  For most everybody else though, if you have not embraced the need to 40:06 leverage AI and everything you're doing,  then you're way behind already.  That doesn't mean you have to be in a race to do this. just, because  I'm  of the belief that  you have to slow down to speed up. But you do need to make it a priority.  And in a lot of different ways. Number one is, 40:36 The most obvious is workflow automation. You should be probably tackling  workflow automation as just a part of your constant improvement program  to become more efficient, whether it's with AI or not.  But AI is particularly good at workflow automation  because it can tackle steps in that workflow that couldn't be tackled without AI.  So the  first thing 41:06 the companies should be doing if they're not doing it is documenting all of their processes,  all of their tribal knowledge into playbooks. So when you have somebody who's an expert in something in your company and they're the person who's the only one that knows how to do it and so we can't live without them, that's a bottleneck for scaling. Because if you bring somebody else in to expand their capacity, they're going to... 41:32 put a big dependency on that person with all the expertise, which is going to cause problems.  So  anybody in a position like that should be documenting all of their  procedures and protocols and especially all the nuances and all the edge cases into playbooks.  And there should be some centralized playbook repository for the company. And this becomes part of your intellectual property and part of your value if you ever 42:02 you're trying to raise money or you're trying to sell your company. So it increases your value. So you do that, then AI,  you start to look at automating those workflows because now they're documented. So now what can be automated in them from just a workflow automation perspective. And then how much can you implement AI in there? Because now AI can learn to make the same kinds of decisions that this person is making. 42:31 And this is like the low hanging fruit that I'm talking about right now. Right. Exactly. Right. Because the bigger stuff is if we implement AI in here, what workflows would we totally  throw away and start from scratch?  Because we can think of way more sophisticated ways of addressing this now that we have intelligence involved in all these steps.  But that's later. 42:57 worry about that once you get your arms around implementing AI,  automated workflows and then- So workflow automation. So playbooks, workflows and AI in your automated workflows. That's sort of the stepped wise process. Excellent. You heard it here  on the founder sandbox. Thank you, David.  And if you're not sure how to do all that, 43:25 ask AI, okay, here's my company. What should I be focusing on if I wanna implement playbooks, workflow automation and AI? And AI will help you figure this all out. Right. That's a jewel here. So what'd you do? Chat GBT, co-pilot, what's your complexity? Where would you go to? All right. Well, it just depends on the flavor of the day. Right now. 43:53 I was using chat GPT primarily for this stuff just because it was a first and I'm very comfortable with the apps. have them everywhere. And Claude's recently come out with a  new version and it's in some ways I'm just finding the output way more organized and smarter. And so I've been using Claude more in the last couple of weeks, but that'll change in another week or two.  Any one of them will do a pretty decent job. 44:21 I'm  not using perplexity because it's built on top of the other ones.  But perplexity is a great tool if you're newer with this because it makes some of the... It's a little bit more accessible for somebody who doesn't know how to use AI.  Gemini is also  really good, but that's  more of a technical... And there's so many things you can do. 44:49 with AI that you wouldn't even think about. And I'll give you an example, more as a brain opening exercise for everybody than anything else. Because this is something I did about seven weeks ago.  I,  chat GPT had just come out a week or two before with their vision capability in the mobile app. And for  those of you who don't know it,  with chat GPT, there's a talk 45:19 button. It's not  the microphone. It's the one that looks like a sound wave  in the mobile app. You tap that, and now you have a voice conversation with chat, which I use this constantly. Even when I'm working with,  I've got some contractors at my house whose English isn't very good, so I ask it to do real-time translation for me. And it does matter the language.  And I start talking, and it translates to their language. And they respond 45:49 in their language and it translates to English and it's doing it perfectly. And so I can have a very natural conversation with anybody just holding my phone up in front of them now.  Right?  But it has this vision capability  where when you go into that voice mode, you tap the camera next to it, and now it's looking out the front of your screen while you're talking to it. And so I'll give you a couple of examples where I've used it  six weeks ago and again, like 46:18 weeks later and I now used it many times like this.  I was in  Lowe's, which is a  store for home improvement.  And  for some project I was on, my wife calls me and says, I need fertilizer for a hibiscus. And I say, well, what do I get? She says, anything that says hibiscus on it, it'll be fine. I said, okay, fine. And if anybody that knows these big box stores, there's like hundreds of bags of fertilizer of different brands. 46:48 And I couldn't find one that said hibiscus. This is a typical thing with my wife. Oh, just look for this. And of course, there isn't that. So I asked Chess GPT, okay, I'm in  Lowe's  and I'm looking for a fertilizer for hibiscus.  What would you suggest? And it said, oh, there's a number of brands that are high acid.  And I said, we'll recommend a brand. Tonal is a really good brand. And I said, okay. So I'm looking and I can't find it. 47:18 So I walked 30 feet back and I'm talking, right? I'm having this, know, people are looking at me like, what the hell is he doing? And I walked 30 feet back because there's many, many shelves, you know, columns of shelves with fertilizer. I walked back and I turned on the vision and I say, okay, there's all the fertilizers. And I'm moving my phone across all these shelves. say, do you see tonal here? And it says, yes, look for the one in the red and white bag. 47:48 And  I see it on the shelf. So I walk straight forward. see a red and white bag. That's not tonal. said, this isn't it. And she, cause it's a woman's voice that I have, she says,  it's two shelves to the left, second from the top.  I walk over there and it's right where she said it was. Crazy. And you're not a beta user. So this is available today. This is available. It's been available for a couple of months. And then 48:18 My daughter-in-law asked me to get something from the pharmacy, from CVS, another  big box pharmacy store, right? And this is something I don't even know if I'm in the right aisle because it's something I've never bought. So I ask it, I say, I'm looking for this brand  and I'm not sure if I'm in the right aisle or not, but I'm going to walk down the aisle and tell me if you see it. As I'm walking down the aisle, holding it straight forward so it can see both sides.  And it says, well, 48:45 Yes, I'm familiar with the brand. You should look for it in a green and white box. then she goes like this. Oh, I see it. It's down there on the right on the bottom shelf. And I turn and I look and it's right by my right foot. 48:58 You heard it here. This is crazy. think it's a bit creepy.  How many times have you been looking for something on a shelf? You know, and you're like, oh, how long, how many hours is this going to take me to spot it?  Good internet connection and all that. So, oh my goodness. It's creepy and it's wonderful. So  same time.  the same time. Yeah. Yeah. For quality of life and even for,  um, yeah.  So 49:25 That's a mind opening thing is all the reason I bring that up. Excellent. Hey, let's go. Let's continue on in the founder sandbox. I'd like to ask each of my guests to  share with me.  I'm all about working with resilient, purpose driven and scalable companies in the growth phase. So what does resilience mean to you? You can either answer, you know, what's the first thing that comes out of your, you cannot use chat, GBT. I'm not fancy. No hands. 49:55 No hands, and I don't have the voice version going because you'd hear it. Podcast we could do it.  And we are real. We're not. Yeah, we are real. We're not. So I think that's, I don't think that's a difficult question to answer. Resilience means opportunity. So no matter what happens, even if it seems terrible, what  opportunity does that create? Excellent. If you ask that. 50:22 keep reframing everything from that perspective,  it creates resilience. Right. Thank you. What about purpose-driven?  Purpose-driven  means having  a clear  long-term path and goal  and  asking yourself if the things you're doing keep you on purpose to that. 50:56 Scalable. What's scalable mean for you? Scalable for me means  eliminating tribal knowledge or not eliminating it, but documenting tribal knowledge.  First of all, figuring out how you generate revenue and then how you expand your ability to generate revenue, which means growing your 51:25 growing your team, growing your capacity  and identifying the bottlenecks and focusing all your energy on the bottlenecks. And usually the bottlenecks have to do  with tribal knowledge or with  lack of workflow automation. Wow, you know, it's easier said than done though, that tribal knowledge, it is resistant, right? Oh yeah,  because it's  career,  what's the word I'm trying to think of? 51:55 It  keeps you in your job forever if you're the only one that knows how to do the thing. Absolutely. That's for another podcast, David. My  final question today is,  did you have fun in the Founder Sandbox? Oh, yes.  I had a lot of fun. Thanks. That's a great question too. Thank you, Brenda. Did you have fun? 52:20 Did you? I had had fun. And particularly in this last part, right? Cause we're talking about some heavy duty, you know, uses of, um, agentic AI, right. And scalable, you know, LTV, CAC and all that. And then we get to hear these real life, you know, kind of creepy, um, uh, uses of, um, on our phones today with, um, with AI, which is, which is quite amazing. But I also know that in your world of techies, 52:50 your team, which is distributed, have a lot of fun events too. So you probably- have one more thing on the whole scalable thing. You have to be compassionately ruthless or ruthlessly compassionate, however you want to say it. Okay. So that the people, every, and the ruthless is anything that's going to get in the way of you growing your company, which benefits everybody in the company. 53:19 it needs to be addressed in a ruthless way. But if you build a culture of ruthlessly compassionate, then all the people that work for you feel that same level of ruthlessness to protect the company and make it grow. And you practice what you preach, I suspect, at Techies. Yes. Yes. It took me a while, but if we accidentally hire the wrong person, either because 53:45 we made a mistake in the process or they faked us out and we recognize they're not smart enough. Literally, that's usually the problem. They're not smart enough to carry their weight. We fire them immediately. We don't try to bring them along because you can't improve somebody's IQ. You can improve any other aspect, but their IQ is their IQ.  And  that will be a bottleneck forever. 54:13 in our team and it'll require other people to carry that person. And it sends the wrong message to the team that I don't value them enough to make sure that we only surround them with people that are going to inspire them and help them grow. Excellent. And I suspect they are not fungible by AI, your employees, not techies. I mean, we've gotten better and better. 54:40 at not making those mistakes over the years. So that doesn't typically happen. takes us, we're much more careful about how we hire.  AI gives us the ability to recruit faster, more broadly,  along with workflow automation. But  what I mean by real, this is the compassionate. Once my team understood this, now they embody that and  they will get rid of somebody if they made a mistake. I don't have to force the issue ever anymore because 55:10 they recognize how much, important it is to protect their teams. So to my listeners, if you liked this episode today with the CEO and founder of Techies, sign up for the monthly release of founders, business owners, corporate directors, and professional service providers who provide their examples of how they're building companies or consulting with companies  to make them more resilient, scalable, and purpose-driven. 55:40 to make profits for good.  Signing off for today. See you next month in the Founder Sandbox. Thank you.  

How is AI currently used in health care? How will AI impact health care in the future? Can AI be used to predict cancer risk? What is ambient AI in health care? Our guest is Jeremy Cauwels, MD, chief medical officer at Sanford Health. American Medical Association CXO Todd Unger hosts.

Use our code for 10% off your next SeatGeek order*: https://seatgeek.oneRrlink.me/nK/VIEWS10 Sponsored by SeatGeek. *Restrictions apply. Max $20 discount Welcome back to VIEWSSSSSSSS. Thursday Day Crew checking in! Hot episode coming at you where the vibes are immaculate. First, we head to Cannes, France where David takes us through his last trip to Cannes Lion where he hung with some pretty cool celebrities and got invited to Paris with one of the world's most beautiful supermodels. Next, Jason goes on strike and refuses to work until David calls their agent Rhett to get to the bottom of where Jason's check is. Also, Jason creates a Jason's AI to rival David's Chat GBT, Ilya stops by to talk about the time he and David tried to go to college, and David tries to make all his friends millionaires. And David drops some advice for anyone who is struggling with high school. New episodes Tuesday's and Thursdays. Check out Jason's podcast here: https://open.spotify.com/show/6plN2cSHMBwM0OeTZDrrrw Learn more about your ad choices. Visit megaphone.fm/adchoices

This is our 8th annual All Episodes. Memphis.In.May. This is one of the annual “leftovers” episodes! Brian Tramel was joined by “Big” John Dalton for the flagship show “Shootin' The Shiznit.” They talk about his tag team title wins and working for Memphis Wrestling. BT then asks BJD ten fun questions straight from CHATGBT! Check out BJD's first appearance on the show! https://soundcloud.com/shootintheshiznit/big-john-dalton-and-brandon-beckworth-episode-639?si=d1e6576f0da246cbb90775f6fcbde9ff&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing Check out our LINK OF ALL LINKS to watch the show and listen to our podcasts! https://linktr.ee/STSPOD Do you want these shows as soon as they are recorded? Join Patreon!! Subscribe now ! https://www.patreon.com/shootintheshiznit Vitality Chiropractic in Jonesboro and Newport, Arkansas, is a trusted haven for individuals seeking comprehensive chiropractic care. With a dedicated team of professionals, they prioritize spinal health and overall well-being. If you're looking for personalized and effective chiropractic services, reach out to them at (870) 523-2225 to experience their commitment to enhancing your health and vitality. Meal prep in Northeast Arkansas! 15% Off with our code STSPODCLUB at bare870.com. That's 15% off and use our code STSPODCLUB Go to bare870.com Trust Bare for your meal prep needs in Northeast Arkansas. Eat Better. Live Better. Paypal LINK ! https://py.pl/15aeX0 Link of all links: https://linktr.ee/STSPOD Search “Cool Kids Wrestling & MMA Talk” on Facebook to join us ! Search “Shooting The Shiznit” to LIKE the STSPOD FB page !! Follow Lance LeVine on Twitter: @chocolatierLL Sponsored by Spunklube is the perfect blend of water and silicone. It is an all purpose personal lubricant that can be used for any occasion. You will love the natural feeling and look of it. It is safe for sensitive skin. Go to spunklube DOT com and tell them shootin the shiznit sent you ! Follow them on Twitter @SpunkLube Have you used the UBER Eats app? If not, you can download it & get $7 off your first order by using this code: eats-briant24790ue Did you love this week's episode?? Was it worth a $1 ? $2? $100?? Donate to STS by using the Cash app and sending $$$$ to: $BTSTS In partnership with Championship Wrestling on CW30! Every Saturday at Noon on YouTube. Follow them on Twitter: @cw30wrestling Do you wanna be a pro wrestler ? Go to championshipwrestlingmemphis.com and apply for classes that start soon !! LIVE MEMPHIS WRESTLING: EVENTS: https://tinyurl.com/Upcoming-Live-Event

Hallo ihr Mannis und Mannienchen,Der Podcast eures Vertrauens, eurer Herzen, eurer Leidenschaft...usw. ist wieder mit neuer Folge am Start.Unter anderem mit diesen Themen :Highway to ESC?Scheidung wegen Chat Gbt?Mega Magnet für Frauen (oder Plasma)?“Tierische“ Idee für alle Energieprobleme?Das und vieles mehr, exklusiv nur bei uns! Dem wohl wichtigsten Podcast aller Zeiten.Link zum Shop von "Das Bier"https://www.das-bier.com/maennerrundeKontakt: diemaennerrunde@web.deUnterstützt uns bei Patreon.comhttps://www.patreon.com/diemaennerrundeTwitter: @DieMaennerundeInstagram:https://www.instagram.com/die_maennerrunde_podcastFacebook:https://www.facebook.com/Maennerrunde.PodcastYouTube Kanal:https://www.youtube.com/channel/UCk6hDwJfdAyJa71gFS_UsEAWir verwenden gemafreie Musik von bluevalley.de the music companyhttps://www.bluevalley.de/index.php

More Wine?! Send me a text! Share your thoughts! Whats up guys its YA GIRL...ME!! Its a new season and a whole lot of new feelings, conversations, topics, wine, and so much more! How y'all feeling!? I will never stop thanking the people that are constantly supporting me and listening to my podcast no matter what! Thank you so so much! You the realist. This week we talking Chat GBT, that orange man running the country, tech, and so much more along with our vibe check of the week! So go ahead and grab your wine glass or get some MORE WINE PLEASE

400 episodes later and we've officially lost the plot. We're entering a recession, but e.l.f. Cosmetics AirDropped sunscreen to a cat, Diddy's on trial, Kris Jenner's face got a backup generator, I went to Arizona and emotionally connected with a cactus, SZA healed Justin Bieber, I'm playing golf again, a cow survived an 11-mile flood journey, and the final Mission: Impossible plot should've been Tom Cruise convincing men to go to therapy.Also. ChatGBT helped write this.But don't worry — your attention span is too fried to care, and you're just here to be entertained.Let's spiral together. Happy 400 to us!

Mark delves into ChatGPT sycophancy, faking adhd tests with AI and artificial intelligence hallucinations affecting lawsuits.

The seduction and addiction that is the essence of 21st century technology is being amplified ten fold by ChatGBT and Grok. Yet they are just the beginning. So how can you discern the difference between man made knowledge and the wisdom of Creation? Here's how.

Angst und Emotionen spielen eine enorm wichtige Rolle bei der Geldanlage und führen nicht selten auch zu Verlusten. Dazu gibt es inzwischen sehr interessante Studien und Experimente. Mehr dazu in der heutigen Episode. Du hast einen Themen-Wunsch für den Podcast oder interessierst Dich für ein Seminar mit mir? Schreibe mir gerne einfach per E-Mail: krapp@abatus-beratung.com   Viel Spaß beim Hören, Dein Matthias Krapp (Transkript dieser Folge weiter unten)   NEU!!! Hier kannst Du Dich kostenlos für meinen Minikurs registrieren und reinschauen. Es lohnt sich: https://portal.abatus-beratung.com/geldanlage-kurs/    

Chat BPT is incredible and amazing...and causing major problems in schools and in homes. We don't want your kids to cheat...cut corners. We want them to use AI...the right way. Join Sean as he shares some helpful tools and tips. Listen to this and then do what Sean tells you to do! Go deeper with Sean at www.SaveMyFamily.us Learn more about your ad choices. Visit megaphone.fm/adchoices

AI (Artificial Intelligence) Language tool known as ChatGBT talks evolving w/ Cory Kastle.

An amazing leader shared an idea to write a list of your life experiences and accomplishments into ChatGBT, and see your story. I did. And it was beautifully captured in a way that I wouldn't have composed it. What happens when you write down your journey and allow someone or AI reflect it back? Who do we allow ourselves to become and what do we begin to OWN within? Enjoy your story.  Here is mine. Asante sana, Angela PS If you want to be in my orbit more, here are some ways to connect: drangela@creatingubuntu.com - feel free to share your insights about the podcast and how it supports you in your unique life journey PPS I have created a sanctuary for the servant leader within you.  This online portal is available to connect you with other revolutionaries.  Let's gather together and rise.  Ubuntu CommUNITY is open for you, now.  Email me and I can send you the deets.  

It's everything we want it to be and everything we don't want it to be. Is AI the answer for the foreseable future of mankind or is it an accident waiting to happen? Those questions and more on this evergrowing topic. Are you reaady? Let's talk! Connect with the Podcast Crew Tsombawi "TèKà" Knibye, Jr.: Facebook @tknibyejr Twitter @tknibyejr, Instagram @tknibyejr Omar "O" Williams: Instagram @odw1980 Denise "D-Nice" Obi: Facebook @denise.obi Instagram @iamdniceeeee Frame of Mind Ink Podcast Website: frameofmindink.com Email: fofmpodcast@frameofmindink.com Phone: (302) 689-3499

Hey ihr Lieben, willkommen zur 94. Folge ⭐️ wir geben euch natürlich wieder ein Update über die vergangene Woche- über Hausarbeiten, neue Handys und abstürzende Laptops. Wann ist es Zeit in ein neues Gerät zu investieren? Hanna kam diese Woche Taylor Swift ein bisschen näher und Soso und Emma erzählen von Konzerten auf denen sie waren und noch gehen. Warum hat Berlin eigentlich so eine Sonderstellung bei Artists? Warum kommen immer nur da die coolen Gastauftritte? Wahrscheinlich ist es vergleichbar zu London, was aus irgendeinem Grund von super vielen Artists bevorzugt wird. Special Suprise Songs und Gastauftritte von Taylor Swift, Harry singt Sweet Creature in Wembley usw.... Außerdem sprechen wir heute ungeplant über KI wie Chat GBT und Co. Wofür kann man diese Plattformen guten Gewissens benutzen? Ist es eher Risk oder Möglichkeit? Schreibt uns gerne eure Gedanken zur Folge über @shesstalking auf Instagram und TikTok oder über Mail shestalking@web.de - wir freuen uns! Bis nächste Woche

It is very difficult to find radio show guests sometimes, so I invented one of my own!___Thanks for listening to today's episode! Come back again soon for more great CFNC content and check out whatever we are up to now at the link below! If you enjoyed today's episode, share it with a friend and rate us on Spotify and Apple Podcasts!Linktree: ⁠⁠⁠⁠⁠⁠⁠linktr.ee/cfncpodcast

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And as if the above title weren't enough, Paul Hylenski is also a 5-time successful author, a pilot and a public speaker. Paul grew up in Delaware. He joined the Marines in 1999 and stayed with the Corps until 2007. He then left to join a large company and, as he put it, got the opportunity to observe both good and bad leaders. He and I talk quite a bit about leaders and leadership. I asked him if he observed bad leadership in the Marines. He said that people being human do find themselves not leading properly in and out of the marines. His insights about this are best left for him to tell.   Along the way Paul formed his company, Quantum Leap Academy. His company was formed to provide comprehensive training in AI technologies. He also formed VetMentor.ai, a service designed to assist military members in navigating the complexities of disability claims and career transitions with the aid of AI.   As you may be able to gather, AI is a subject Paul has learned a great deal about. He discusses how we all can use it much more than we do in ways that can and will benefit us along our life journeys.   Time passed for me quickly talking with Paul. He would love to hear from you, veteran or not. He has much to offer as you will see.       About the Guest:   Paul Hylenski is a dynamic business leader, software programmer, and motivational speaker with a deep passion for leveraging technology to enhance community and personal growth. After serving in the Marine Corps, Paul founded Quantum Leap Academy, a platform dedicated to providing comprehensive training in AI technologies. His vision extends into healthcare, where he has launched BioMarker Detect, an early cancer detection company. Paul's entrepreneurial spirit is complemented by his authorship, notably of his book 'Error-Proofing Humans,' which explores the intersection of human error and technological solutions. Paul's commitment to veteran affairs is evident through VetMentor.AI, a service designed to assist military members in navigating the complexities of disability claims and career transitions with the aid of AI. His efforts to democratize technology education are also showcased in his development of courses like 'Introduction to AI for Teens' and specialized training for veterans. Outside of his professional endeavors, Paul enjoys piloting aircraft and spending quality time with his family. His forward-thinking approach and dedication to service have made significant impacts across multiple sectors, particularly in AI education and veteran support.   Ways to connect with Paul:   LinkedIn : (1) Paul Hylenski | LinkedIn Website : www.quantumleapacademy.org   About the Host:   Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog.   Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards.   https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/   accessiBe Links https://accessibe.com/ https://www.youtube.com/c/accessiBe https://www.linkedin.com/company/accessibe/mycompany/   https://www.facebook.com/accessibe/       Thanks for listening!   Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below!   Subscribe to the podcast   If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset .   Leave us an Apple Podcasts review   Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts.       Transcription Notes: Michael Hingson ** 00:00 Access Cast and accessiBe Initiative presents Unstoppable Mindset. The podcast where inclusion, diversity and the unexpected meet. Hi, I'm Michael Hingson, Chief Vision Officer for accessiBe and the author of the number one New York Times bestselling book, Thunder dog, the story of a blind man, his guide dog and the triumph of trust. Thanks for joining me on my podcast as we explore our own blinding fears of inclusion unacceptance and our resistance to change. We will discover the idea that no matter the situation, or the people we encounter, our own fears, and prejudices often are our strongest barriers to moving forward. The unstoppable mindset podcast is sponsored by accessiBe, that's a c c e s s i capital B e. Visit www.accessibe.com to learn how you can make your website accessible for persons with disabilities. And to help make the internet fully inclusive by the year 2025. Glad you dropped by we're happy to meet you and to have you here with us.   Michael Hingson ** 01:21 Well, hello everyone, and pleasant greetings to you wherever you happen to be today. I am Michael Hingson, the host of unstoppable mindset where inclusion, diversity and the unexpected meet. It's a lot of fun to be here. I really appreciate you joining us today. Hope that you have as much fun listening as I and our guest have in bringing this to you, I tell everyone who's going to come on the podcast that there is only one rule that everyone has to follow on the podcast or we won't do it, and that is, you have to have fun. And Paul Hylenski is definitely a person who said he would him force himself to do that. So Paul, welcome to unstoppable mindset. We're really glad you're here   Paul Hylenski ** 02:02 today. Thank you so much. Michael, appreciate it. Thank you for having me on Well, Paul is a   Michael Hingson ** 02:08 former Marine. He is the founder and CEO of something called Quantum Leap. He does various things with AI and technology. He is a leader by any standard. He's authored, if I recall write five books anymore, any more coming up in the queue, we'll have to learn about that. But definitely not a person who is idle, a man of action in a lot of different ways. And we're really glad that you're here with us. So why don't we start if you would, why don't you tell me a little bit about you as kind of the early Paul growing up and all that kind of life and all that and how you got started.   Paul Hylenski ** 02:45 So, you know, I grew up in actual Newark, Delaware, so funny, there had a great childhood. Decided when I was in high school that I was going to enlist in the Marine Corps, so I wanted to be one of the few and the proud, and so I joined the Marine Corps, served in the Marine Corps, that was one of the best experiences of my life. Then after the Marine Corps, I actually got connected with a company with that was an aerospace company, and started working there as a frontline leader, and then from there, I saw a lot of bad leaders, and I saw some great leaders. And so I was able to, actually, as I kept going through the ranks, tailor my leadership towards how I wanted to be. And it was different. It was using science, psychology and leadership. And then as the AI revolution started happening, I started actually putting AI into business, and I wrote a book about AI in business, and then I thought to myself, well, now maybe I can impact the world in a bigger way. And that was what kind of drove me to start Quantum Leap Academy. And Quantum Leap Academy focuses on teaching professionals AI that's practical and and then that's really been my passion and mission is impacting the world with actually teaching how to automate and really make your life easier using AI   Michael Hingson ** 04:23 Cool. Well, you've been been doing a lot of stuff. How did you come up with the name quantum leap?   Paul Hylenski ** 04:29 A great story, but back in the 80s, there used to be an amazing TV   Michael Hingson ** 04:33 show, yes. So   Paul Hylenski ** 04:35 I thought, what better? You know, I was looking for a name that showed like, look, we're gonna go from where we're at now, and we're going to take this huge leap, and it's almost a leap of faith, you know, that we can use this new technology in in the forces of good. And so, you know, broke it out from my childhood. But, you know, kind of took the quantum leap. And then, you know, the academy. So, and   Michael Hingson ** 05:02 it kind of went from there, yeah, well, so you said that you left the Marines. Well, when you left the Marines, and you went then to a major company, and you started out in kind of initial leadership and so on, how did being a Marine help you in terms of dealing with an understanding leadership, much less what made a good leader and what made a leader, not necessarily a good leader.   Paul Hylenski ** 05:31 You know, for me, and I've done, I've done a few talks, and I've done a couple TED talks, actually, on this. And for me, the military is is is a great example of what they what I like to call the total leadership. So in business, normally what we do is we only worry about the people when we need them, or while they're at work or while they're accomplishing a mission. But in the military, we have to worry about the total person, because even the person's home life, or maybe things they have going on outside of the mission impact their ability to carry out the mission. And, you know, I've said a couple things you know about just both the military rewards people. So in the military, you get medals, and, you know, you get medals and awards for sacrificing yourself for the good of your people. But in business, a lot of times you get, you know, raises and promotions for sacrificing everyone around you for the good of yourself. And I think that's a flawed dynamic that I really got to see in action in the military, and I brought that into the civilian business life, do you   Michael Hingson ** 06:45 and looking back on it, if you will, and you talked about you saw leaders who were good leaders and not so good leaders in the corporate world. And I don't want to pick on the military, but did you see the same sort of thing at all in the military, or do they really weed out people who don't tend to to do very well in the leadership role? That's   Paul Hylenski ** 07:07 actually a myth. So most people think that there's only great leaders in the military.   Michael Hingson ** 07:15 You did find some that weren't necessarily so, okay,   Paul Hylenski ** 07:18 yes, yeah. And you know, like bad leaders tend to shape us in different ways, and sometimes better than the better leaders. You know, because you learn more from watching people who might be doing it wrong. But you know, it is great learning experience. I learned some things to do, and then I learned some things that did work, but yeah, absolutely, there are bad leaders everywhere. So   Michael Hingson ** 07:43 what would you define as as a bad leader? What are some things that you experienced or you've seen that made people not necessarily such great leaders?   Paul Hylenski ** 07:52 So for me, it's, you know, leading through intimidation and fear that was a practice that was made pretty common all throughout, you know, 1970s 1980s and the myth there was that people stayed because they were okay with the treatment. Well, in reality, the reason why they stayed to endure that horrible kind of leadership was because they had pensions. Well, the world now doesn't have pensions for most part. So people stay because they like the place or they like the culture. You know, another defining factor for me for leadership is, do I feel psychologically safe with that person? Yeah. And, you know, psychological safety and the ability to make state mistakes and the ability to make failures and view them as growth really defines a leader that's focused on the future and not just on the present or the past.   Michael Hingson ** 08:48 In the military, did people have much opportunity when they encountered somebody who wasn't necessarily a good leader to move elsewhere? I would think that that was probably more challenging to do than when you're working for a company, especially a large company, where you could transfer probably easier, is that true?   Paul Hylenski ** 09:08 Yeah, that that is true. So sometimes you had to endure it and and then you make the best out of a situation. And, you know, like I was saying earlier, sometimes that's where I learned, you know, as I was going through things that just didn't work, you know, and the way you talk to people and treat people, and just even the overall demeanor that you have as a leader, you know, matters. And everything you say is a communication, but everything you do is a communication as well. And a lot of leaders don't remember that, or they don't, you know, they don't visualize that I   Michael Hingson ** 09:45 know, for me personally, and you mentioned the whole concept of fear and intimidation, and I've experienced it from time to time for a variety of reasons, being blind and interacting with. People, I faced challenges because people tended to not necessarily view blindness as as they should. And so oftentimes I would have people say to me, Well, you got to work harder and different than everyone else, because you're blind and people aren't going to perceive you as being competent. Well, there's truth to that to a degree, but there are ways to approach that as a leader. And I would think that when you're telling someone all the time, you gotta be better, you gotta be smarter, and so on, as opposed to saying, how do we make sure that you shine as best as you possibly can? And I don't know when I adopted this method of operation, but one of the things that I discovered fairly early on was that as I was managing people, and when I started really hiring people and opening offices for companies, one of the things that I said to people was, look, I'm hiring you because you've demonstrated to me, or you've convinced me that you can do the job. So my job isn't to boss you around. My job is to work with you specifically to see how I can add value to what you're doing to make you the best performer that you can be. And what I discovered is that the people who really got that and understood it and chose to find ways that I could work with them and use the skills that I have, and oftentimes they took the lead in discovering what they thought that I could help with but we worked together, and when they got that concept, they really did perform a whole lot better than those who didn't get it.   Paul Hylenski ** 11:53 That's a great strategy.   Michael Hingson ** 11:55 Well, I think it's and it's important, because I think that fear and intimidation doesn't help anyone, and it doesn't help you or anyone to develop a real trust if you're just dealing with someone out of fear, as opposed to dealing with someone through trust and teamwork, it's a it can be a challenge. Yeah, I   Paul Hylenski ** 12:18 think you know, one of the things that we're finding out more and more and companies are finding out is they never really made significant headway to fix issues or to get real growth because of that fear and intimidation. And I mean, just take, just take mistakes. Right? If I'm afraid to make a mistake, I'm going to lie, cheat and steal my way out of that mistake. I'm gonna blame it on everyone else, but if I'm not afraid to make the mistake, then I'll tell you, as my leader, exactly what happened, and then as the leader, if you know exactly what happened, you can work corrective action and fix it and make the environment better. And that's where the beauty and the secret behind that is   Michael Hingson ** 13:01 well, or the other part of it is because you acknowledge the mistake and so on, the leader will let you do the corrective acting and take the corrective steps that need to be done, because especially that will be a good learning experience for you, but they're there to support you, which is really the issue.   Paul Hylenski ** 13:21 And I think when leaders change their mindset from failure being this negative connotation, and, you know, failure being this bad thing, to, hey, that's just another step towards our growth, you know. But what did you learn from it? Or what are you going to do different, right? All those things, then all of a sudden, people start to realize they're in a growth mindset. They can fail, they can learn, they can proceed, and then they end up growing. Yeah, and   Michael Hingson ** 13:49 I think overall, people really do want to grow. They want to evolve, but the leader is, or ought to be, the person to help really create that environment for people.   Paul Hylenski ** 14:04 Yep, and spot on. I mean, who wakes up in the morning and says, Hey, I'm going to be a loser today. I'm going to be a failure today, right? Nobody, so. But people fail, and people might not get something, they might not understand something, and you're spot on. The leader has to be the one that's their cheerleader or their coach or their mentor or giving them direction on Hey, you didn't really do well on this, but this is what you need to do next time. Similarly, a different way, or   Michael Hingson ** 14:34 you didn't do well. Do you have any idea of why? Because it's always great if you can figure it out. You know, I have worked with guide dogs since 1964 and it took a couple of dogs for me to develop and begin to articulate this. But what I learned is that every time I got a new guide dog, and we would spend time at the school or whatever, what I. Really doing there is beginning the process of creating a bond with a new teammate. And no mistake, dogs are as much a part of a team as anyone else. If you allow that to happen, most people really look down on on dogs, but the reality is that they have a lot of senses, and they have a lot to contribute. And the thing is, if you believe people like Cesar Milano and so on, the thing is, dogs really want to be a part, and they really want you to tell them what you expect from them. And in that sense, it's really cool. They don't have hidden agendas like people often do. And so the difficulty with people with hidden agendas is it makes it more difficult to trust them, and sometimes you can break through that. And the hidden agenda isn't such a hidden agenda that isn't necessarily a negative agenda at all, but we tend to be very closed in terms of trusting others, because we're always concerned about what hidden agendas they have. Dogs, I believe, do love unconditionally, but I don't think that they trust unconditionally. But the difference between a dog and a person is that a dog is generally more open to trust, unless something just really hurt them, which is something typically that it would be a person who did that. But dogs are open to trust. And if you create that trusting relationship, it is second to none.   Paul Hylenski ** 16:34 That's that's interesting. Know that?   Michael Hingson ** 16:38 Yeah, they The reality is that they want to please. They want to do a good job. So I've learned over the years working with guide dogs, it is an extremely stressful job for them, because they want to please. They want to make it work. And they're being tested whenever, for example, the harness is on, even when it's off a lot. But when the harness is on, they watch, and have to watch a lot what's coming up at the street corner, the curb is coming up. I got to stop at the curb and make sure that my person stops at the curb. I tell the dog to go forward, and the dog sees there's a hybrid car coming, and I don't know it, because it's in battery mode and so I don't hear it, but the dog, if I create a good, teaming relationship with that dog, the dog knows that it has the authority to not budge to make sure that we don't get smushed by the car. Likewise, if everything is fine, then the dog will go. But the dog has a lot of decisions to make in the in the guiding process. They don't lead, they guide. It's my job to know where to go and how to get there, and I need to learn that as I travel and make that happen. And the neat thing about it is that when the dog understands I'm doing my job, it feels a lot better about doing its job, and it knows what its job is. And in reality, what that ultimately means is that we form a good team, supportive relationship. And I think that is something that because just as relevant in person to person, leadership and teamwork as it is in person to dog relationships, oh sure,   Paul Hylenski ** 18:27 the ability to trust each other and feel safe with each other, absolutely. Yeah. So,   Michael Hingson ** 18:33 so you've done a lot. What got you started in dealing with AI? What? What attracted you to that? Yeah,   Paul Hylenski ** 18:40 yeah. My fourth book was actually titled The evolution of leadership. So aI had just kind of started coming online. I started researching AI, and then I thought to myself, Okay, well, now that I've researched it, I'm going to start actually using it. And then I went to actually input it into a few businesses, and once I realized, like, wow, like, I could automate 50 to 60% of the business with AI. And I started noticing, like we had time to be proactive, not reactive. Then, then I realized, okay, I'm we're on to something most anybody. If you ask them about AI, they're just going to say, chat, GPT. But there's, you know, 1000 different platforms. There's AI automations. So I thought, Okay, people just don't know. And, you know, the more senior people are, the least, the less that they knew about, you know, AI and chatgpt and everything. So I thought, Okay, well, the, you know, baby boomers and a lot of the you know, millennials, they're running companies right now, or they own companies, but they're the ones that are not able to really use AI or new AI. So you. Know, I've really tried to put a focus on teaching practical AI. So not just the, not just the theory and all the, you know, school type of material, but actually how to utilize AI to benefit you and your business. And that's been, you know, really fantastic since we kicked the academy off, we've gotten formally accredited. So when you take, you know, certifications, one thing that's different is a lot of places you'll take AI certifications, and you just get a little certificate, but no credits, and it's not formally accredited. And that was one thing we put a lot of attention into because as business professionals, the whole point of taking training is to grow in your, you know, career and grow in your job. So, you know, accreditation and credentials matter. But, yeah, that's what got me started, and then now it's become a passion. I, you know, I do free training for veterans. We actually even started a software as a service to help veterans put their disability claims in and streamline that process. So it's been it's been really fantastic. AI has opened up a lot of opportunities. How does AI   Michael Hingson ** 21:18 help in that whole process of doing the claims, applications and so on. What does it say? So it's   Paul Hylenski ** 21:23 absolutely great. So this was our startup company, which was a derivative off of Quantum Leap, and it's called vet mentor AI, so we'll be releasing it towards the end of the year, and we've already used, utilized it on, you know, test veterans, where they've actually allowed us to help them put their applications in. So the problem is that, you know, for first time submittals for veterans, it's a 70% rejection rate rate, so a lot of veterans either don't know what to do, or maybe they're afraid to do it. And then one of the big things is PTSD and anxiety. There's a fair amount of veterans that really have high anxiety, or maybe have issues from their PTSD, where this process is daunting and the fact of going in front of a medical examiner is almost impossible for them. So the way it does it, or what it does is it allows the veteran to basically in plain language, right? What's wrong? So they'll fill out a very simple form. It's something that you know, someone with basic education can fill out, and it's basically a questionnaire. And then we have a proprietary AI software that we actually built that analyzes all that data, and then it's trained on the VA rating manuals. It's trained on the VA forms, the VA website. And so what it does is it actually tailors the person's claim to the VA rating manual. And by wording it like that, it actually allows the veteran to get this comprehensive report, which even asks the person, Hey, did you have this medical documentation? Did you think about filing for this secondary claim and and so then the second part of this is we actually built an AI platform to allow the veteran to do a simulated CNP exam. So what a cmp exam is, it's a medical exam where the veteran has to go in and actually get examinated, and you know, then that that doctor will determine if they, you know, meet the criteria. So what we've done is we've actually utilized AI and allowed them to do their medical examination with an AI. It even has a voice, so that they can talk to it like a person and imagine and this has been wildly successful for our veterans that have high anxiety or PTSD, because they're able to practice their their CNP exam, and you know, it will critique their answers. It will let them know, you know, what, what their rating would be, and all this thing in the background. And it's really amazing, because then when they go in for their real one they've already practiced, and they are less anxious, they're less nervous about it, and they make better decisions. So the one great thing, and I'm so proud of this, because being a veteran, this was something that was really hard for me, was, you know, submitting my disability claims, so the average failure rate is 70% on the first time submission but with vet mentor, all of our veterans, we are currently at an 80% acceptance rate on first time submittals. So we've flipped the strip the script, and you know, instead of a 30% approval rate, we're up to an 80% approval. Boring and   Michael Hingson ** 25:01 it's interesting, because what I'm really hearing is that, to a large degree, the AI system is helping to train, much less helping to create the actual information that has to be submitted. So it's kind of a double pronged approach to solving a problem,   Paul Hylenski ** 25:20 yeah, and it's, it does it. It prompts them for, you know, something simple that I never realized in the beginning of the process was a personal statement. So it helps them to actually generate a personal statement about their illness or injury or disability. And then, even more than that, it prompts you to put it in the proper form. So most veterans don't know, but if you don't upload your personal statement in the 4138 Bravo form, they actually discount it. And there's a lot of veterans that are are submitting just a Word document with a little handwritten thing, but it, you know, the AI, actually, when we started doing this, the AI picked up that, hey, this must be done in this form. And when we were looking at it, we were like, Oh my God. We didn't even know that. So the AI taught us when we were actually making it   Michael Hingson ** 26:13 well. And how long have you been doing this? So   Paul Hylenski ** 26:17 we've been doing this for four months. Little over 20 veterans. So we're in the middle of, we're in the middle of the end stages of, you know, building the rest of the site and the platform. We basically, when we started, we kind of had three or four different types of AI systems talking to each other. So we're actually building and consolidating it just into one that's a nice little format for a user. And the beauty part with with our software is it's a one time lifetime fee, so you pay $50 which covers the cost of the AI software in the background, and you have it for life. So as your your disabilities get worse with age, because we all know they do. You have the software for the rest of your life, and it's for only $50 which is starkly different than the A lot of the companies out there, which you know they're preying on veterans. And what they do is they take 1000s of dollars or percentages off of their disability every single month. So that's one of the things that we wanted to do when I made this company. It wasn't to make money, it was to impact the world. So that's why we keep it just as a lifetime fee, just a $50 one time, and you're done. So the veteran basically just pays for the software is   Michael Hingson ** 27:43 bit mentor, a nonprofit like a 501 c3 company. So no,   Paul Hylenski ** 27:47 we're not right now. We haven't done any of that yet, just because we want to build the platform,   Michael Hingson ** 27:54 it's fair. Um, you've got to start somewhere, needless to say. So   Paul Hylenski ** 27:59 we've helped. We've helped over 20 veterans so far. So that was the big thing, was we get we got veterans in the beginning that we're like, Okay, well, let's try it out. And then, you know, we've done a couple pitches. We've, you know, been getting investments in, in the platform and everything. And the intention is, you know, I want to roll this out nationwide to help veterans. There's a little over a million pending disability claims right now, and if you just go off of the you know, the standard statistics, 70% of them will get rejected. Yeah, and that is a horrible thing for a veteran who maybe is having trouble at work, or maybe their disability is impacting their ability to get promoted and and to have to go through that after they've honorably served the country. You know that I'm trying to fix that?   Michael Hingson ** 28:53 Do you see expanding this and also working with people who aren't veterans by any chance?   Paul Hylenski ** 29:01 So we haven't thought of that. But that is a great idea. I was actually so we, we're in the VA Pathfinder system, because my intention in the beginning was actually to partner with the VA, because imagine a VSO, or, you know, one of the members from VA who are helping the veterans have this tool to help them. You know, I think that would change the game too   Michael Hingson ** 29:26 well. I'm thinking, for example, there are a lot of people with disabilities who have to navigate and interact with their state rehabilitation systems and so many other things that might very well benefit from what you're doing and also who will learn a lot, and that will help them with their confidence as well, which is kind of what prompted my my question, and my thought about it like   Paul Hylenski ** 29:50 we haven't yet, but you got my mind thinking now, and you know what happens when that,   Michael Hingson ** 29:54 there you go, yeah, well, that's, that's always, that's always a good thing, not. A problem. So when you started really integrating AI into healthcare and doing the things that you were doing, what kind of challenges did you run into, or are you running into?   Paul Hylenski ** 30:13 Yeah, the first one was when I started integrating it into business, I met a lot of resistance, because people don't understand it. So even something as simple as chat GBT, right? Just go real basic into AI. Chat GBT. There's so many people right now that either haven't used it or are not using it or don't even know all of the things that it can do. If you have a business, if you're a business owner, if you're a manager, if you are doing office clerical work, chat, GPT can probably boost your productivity just by 30% and you know, I mean instantly you will feel the benefit. I use it to write emails. I use it to do charts, data analysis. You know, there's a there is so many uses. You know, you can use chat GBT to build a game show that then you can use that game show to go train people on Excel. I mean, it's amazing the amount of limitless things that you're able to do with it. But chat TBT is literally like one grain of sand in the beach that is AI, and most people don't know that. You know, there's another platform that's make.com it literally builds automations. So this call our podcast right now, you could have an automation that it would literally transcribe the the podcast, then it could send it into four or five different directions. We could do Google Doc, we could do a Google sheet, we could put a summary about it. It would do everything all in one just by hitting one button. And so businesses are starting to use this because it's automating most of the clerical work that they do.   Michael Hingson ** 32:04 I know that I'm not using AI nearly to the extent that I could even chat GPT, and part of it has been that I've found some inaccessibility issues in some of the buttons that aren't labeled and so on. So gee, maybe I'll have to talk into giving me a better lesson on using some AI stuff, but I appreciate and understand the concepts of it, and so I know what you're saying, and I've used it to write articles in the past. And what I do when I when I bring AI or chat GPT into it, is I'll tell it to write something, and then my job is to look at that and massage it and make it my own and add my own stuff to it. And in fact, I've I've actually told chat GPT to create something, and I've told it to do it six or seven times, and I take the best of all of those, plus what I contribute to it, and turn that into the article that I actually publish. But the I think the most important part about it is that I really know what it's it's doing, and what I'm doing, and I know that I have to be the one to control it. I can't just go off and let chat, GPT create something and then submit it. That's not only worthless, but it's it's certainly dishonest. I've said many times. You know, teachers talk about students that use chat GPT to write their papers and all that, and then they turn them in, and sometimes you can tell that they're written by chat GPT, and sometimes you can't, but teachers are worried about that. My reaction, and I have a secondary teaching credential, so I do understand something about all this. But my reaction is, I think that for chat for teachers, chat GPT is great if kids go off and write their own papers, great if they use chat GPT to do it. Great because at the end of the day, you turn the paper in, and then the teacher calls you up during a period and say, not offend your paper, you're going to know real quickly who really did the work and who didn't. Yeah,   Paul Hylenski ** 34:11 and, and, you know, you brought up some good points there, right? So I have a, I have a colleague on LinkedIn who's the AI educator, and so what he actually has done is he's put a lot of AI into education, and there are softwares that a lot of teachers are using now that actually detect chat. GBT, yeah, detects AI. You know, one of the best things that people can do, and this is something that most people know nothing about, but you can actually create a digital twin of yourself, and it's very easy to do on open AI, so you can create an assistant that's actually trained on how you write, how you sound, right? And so this, we did this very easily for me, where I. Downloaded all of my posts, all of my interactions, and everything from LinkedIn, and I trained it on all of my books. So what happens is is you literally have an AI system that talks like you, has your same tone, has the same humor that you do. And when I do my posts and everything I do kind of the same thing you do, where I'll have my digital twin create the post and then I massage it or whatever, or go through it and read it. But what I've found is definitely for automations and definitely for email writing, these digital twins that you're able to create for particularly marketing as well. They're pretty spot on. I mean, you would have a hard time telling the difference between my digital twin and my writing. Of   Michael Hingson ** 35:48 course, you're leaving yourself open to the obvious question, which one are you the twin or the real person? But that's okay, yes,   Paul Hylenski ** 35:56 that's a good one today. Are   Michael Hingson ** 35:59 you a robot or not,   Paul Hylenski ** 36:01 no. But people don't realize that. And you know, the beauty part of it, Michael is like, so if you own a small marketing company, I mean, you could create 30 to 60 days of content in literally a couple hours. If you have a digital twin, and it changes the game, because you're able to scale businesses, you're able to do things. You can set automations up. You know, on some of my emails, particularly my personal emails, depending on what is in the email, I have automations where the AI actually responds to the email and it sends it to my drafts and then, so at the end of the day, we do as I look at the draft email. I click it, I click it, I click it up. I don't like the way that read it. I'll delete that and write it for real. But for the most part, I'd say it's about 90% perfect. And you know, I took, I take maybe about two hours of emails and turn it into about 1520 minutes. And so then it gives me an extra hour and some change every single day just on that task.   Michael Hingson ** 37:06 So here's a question, actually. So you do the process that you just described, and you go off and you massage some of the emails because you didn't like the way your twin created them. How do you then make sure that your twin gets trained on your changes.   Paul Hylenski ** 37:23 Plus, you know, I mean, you That's exactly it's the whole point is you have to what I'll do is I'll basically copy and paste the email, put it into my digital twin and say I did not like maybe the word, a couple of the words they used, or I didn't like the tone of this email, and so that's the beauty part with chat. GPT, yeah, and you know, any, pretty much, any, AI, the whole point of it is fine tuning it, so you have to, but most people don't realize that you can talk to the AI because it responds. So like, if you say, I don't like this, it's not going to do that, and it's so important, and one of the hacks that a lot of people don't do. So when I create something, let's say a business plan or a coaching plan, and I'll create it, I'll ask chat GBT to critique it for me and then improve it. So now I have it created, then I have it critique it and improve it, and pretty much, at the end of that, I have a pretty perfect document. And that's changed a lot of the the ability that I but most people don't realize you can actually have it critique its own work,   Michael Hingson ** 38:36 yeah, and that's and that's the reason I asked the question, because that's really the whole point. It is a, it is a process, and AI is opening so many things. I work with a company called accessibe, and accessibe uses AI and what's, what's called a, well, it's, it's a, it's a process where it can generate the code that will make a website more accessible, called an overlay. Some people say they don't work and so on, because they believe that you got to manually code it. But in reality, I can find manual coders who don't always do a good job. But what accessibe does is that they have created a system out of necessity. They're in Israel, and in 2017 Israel said, websites need to be accessible. And these guys that all started this company in 2015 and the company was making websites for people, well, suddenly they had to make everything accessible. And they created an AI process that does a lot of that. It's expanding and it's improving over time, because there are things that it it didn't do well, and there are things that it will get better at as it goes forward. But the fact of the matter is that it does help make websites a lot more inclusive than they ever were. So for example, if you're a person with epilepsy and you go to a web. Site that uses accessibe, and there are blinking elements on that page that could cause you to have a seizure. You can go into a particular disability profile on accessibe That's for people with epilepsy, and disable those blinking elements. And the way it all works is that accessibe's widget transmits the code not to the website and modifies the website code. It transfers the information directly to my browser and and my browser and my screen reader that verbalizes to me doesn't care where the code comes from, as long as it's there. So it's really pretty clever, and it and it's and it's making quite a difference. It's got a long way to go, but AI is new autonomous vehicles have a long way to go. They're pretty new, but they're getting better. So it's, it's a process, right?   Paul Hylenski ** 40:52 We're at the beginning of this, and it's, you know, starting to really grow. And so, like, you know, people, people just, you know, a lot of people are still resistant to it and, and there's good reasons for that, right? I mean, this is going to be very dangerous as much as it's going to be good, right? I mean, with the deep fakes and all the ability that you allow people to do with it, they but there's that much good with it too and knowing it. And once you start knowing it and knowing what to look for and learning it and everything, then you can start to pick up on maybe some not so good ways of using it, or, you know, the ethics about it, or, you know, the transparency about Yeah, how do   Michael Hingson ** 41:38 you balance the technological innovations and the ethics in, in what you do, yeah,   Paul Hylenski ** 41:45 for me, so that's part of what we teach in the academy. So like, the first and I have five levels there. Each level goes up, but in, in the first level, it's all about, like, AI and business. So there's a fair amount of, you know, ethics, transparency and everything about proprietary data, not putting certain data into it, you know. So for me, it's that is the biggest key, because especially with vet mentor, you know, you're dealing with really touchy areas, medical information and everything. And, you know, while it's kind of sanitized because of our process, you know, it's still it's new. And, you know, and with anything new, there's going to be some type of resistance, there's going to be questions, and people with the lack of information, they make up their own, right, and that's where you get a lot of the confusion about AI right now, but I think it's important to realize that, you know, this is new, so you have to tread carefully. And you know, the best way to actually protect yourself is to educate yourself, yeah, um,   Michael Hingson ** 42:55 and, you know, the internet and itself, it's got the dark web, and the web that's not so dark, and there are, there are going to be people who will misuse it, but what we we need to learn is how to bring ethical decisions into it, and over time, hopefully, we can bring down a lot of The the so called Dark Web, and let people know or or get people to understand that's inappropriate behavior. And I think the same thing with AI. And yes, you're going to see people who get fooled. You're going to have a lot of challenges, but there is so much positivity that can come from it that is is even more important than the negative parts,   Paul Hylenski ** 43:41 yep. And I think, you know, there's, there are companies out there, because I've talked to a couple of their CEOs that are actually building AI systems to detect negative AI, right, like, so they can detect the deep fakes and everything. And, you know, AI the one, the one touchy thing that it's done so in the in the past, you know, before the internet and everything, if somebody wanted to steal from you, they had to walk up to you and steal from you. They had to pick pocket you, or actually rob you. So you got to see the person's face as they were taking something from you. When the internet came, you had hackers that had no face, right? He was just this person on the other end of the computer, and they could steal your information or steal your money. Well, the problem with AI in this manner is, and why we have to be careful and we have to protect against this is, now it's your daughter. Now it's your husband, your wife, your boss, that comes on the screen and says, I need you to make this transfer. I need money, right? And it's really the thieves, but they've been able to clone, you know, your family member, so now the people stealing from you look like and sound like people that. You care about, and that is why it is getting drastically more difficult to identify some of these, you know, really tough ways that it's being used. So I'm excited to see the innovation that keeps us going to come out, you know, with some of these companies to actually screen for those deep fakes, because then I think once you can get rid of or regulate some of that negative usage, then people really will just focus on the positivity that it gets.   Michael Hingson ** 45:29 Yeah, because the reality is that it can be so positive for everyone, and that if people really learn that and catch on to it and ethically use it, there's, there's no end to the capabilities and the positive things that they can bring about.   Paul Hylenski ** 45:48 I mean, you have 10 year old children now coding websites because they've made it so easy they can literally type in to code a game. People are making their own games. You can go on Claude AI and literally make a web application. Just by saying, make a web application for a loan calculator. So you can create anything in the world. And before, I used to have to know how to code if I wanted to make something like that. Now I just type in what I want, and it spits it out,   Michael Hingson ** 46:20 yeah, yeah, and it's it is going to get better, which is really what makes it so cool. And I hope that people will catch on and understand that being positive and doing it ethically really is better and worth more than than the alternative.   Paul Hylenski ** 46:39 And I think so too. I think once we figure ways to have the AI protect against the AI, I think, I think it'll be even better, too. And, you know, I'm excited, because from the students that I've had in the academy, so many people from beginner level to where they thought they knew, you know, they thought they knew chat GBT. They thought they knew automations. It's been great because you see the light bulb click on, when some people are like, Oh, my God. Why was I taking a week to do that? And you just did it in five minutes. And you know, our level four is where you actually learn how to build a software as a service. And you know, our students walk away with a fully functional AI business. And there's not many schools, there's not many academies that you'll ever walk away with actually real practical knowledge or a real business.   Michael Hingson ** 47:38 Yeah, and that's what makes it so cool, and it it certainly helps to empower people a lot, doesn't it?   Paul Hylenski ** 47:45 Yeah, I mean, we had a school teacher build a CRM platform that then she took and she went and sold it to five different companies, and they're using her platform that we built in two days with AI, it was so crazy. And she's like, I never thought I'd be able to do something like this. And it's true, because five years ago, she would have never been able to do that, because that wasn't her specialty. Right now, you know, she built a fully functioning Software as a Service, and it was, it was the most beautiful thing to see. Her eyes light up at the end of it, where it was, like, I just built this.   Michael Hingson ** 48:24 Yeah, it is so cool that she's recognizing that she's still the one who did it and she used tools, but she's still the one who did it,   Paul Hylenski ** 48:34 yep, yep. And it's, that's really what's amazing is you can, you know, you show people, I bring up, you know, a lot of examples, but most, most people don't realize what they actually have the power to. And a lot of people come on, especially the level one people come in and say, I can't learn this. This is just so hard for me. And then once you start breaking it down to a very simplistic level of, hey, this is how to prompt. This is how the system reads your words. And once you understand that, then everything else starts to make sense. And it's so beautiful, because you have people, you know, creating things they never thought they could before, yeah. And   Michael Hingson ** 49:20 that's what makes it so fun. And people do want to be creative, which is great. You've written several books. I know one you've written. I'm intrigued about. We haven't discussed it yet, error proofing, humans Tell me about that.   Paul Hylenski ** 49:33 Yeah, so error proofing, I love the title. Oh, it's great. And, you know, I got so many comments on that so that book, actually, I'm so proud of it, because it was an Amazon bestseller. You know, I've been on a book tour with it and everything. So I originally brought that book up because I thought, okay, error proofing humans there. So everybody you know commented and said, You can't error proof a human. That. Is the whole point of the book. So every human in the world makes anywhere from three to five mistakes per hour, if they're trained on a topic. Now that goes up by 11 times, potentially if they're they're not trained. So you have people every day making mistake after mistake. Now, most of them are what they call micro mistakes, and they're detectable, right? So you can detect, okay, I typed in the wrong letter, so I hit the backspace or whatever. But when you're doing some tasks, if you have that many mistakes, sometimes you don't detect them, or sometimes you can't correct them, and that's when we have accidents and injuries and everything. So the whole point of the book is, what if you could error proof processes and finally make an error proof human so what we do is we follow, and I did all the in the book. It's all the science and psychology behind human error, how to eliminate it or mitigate it. And one of the one of the key strategies that I'll leave with, like your viewers and listeners, is the Swiss cheese method. Now you can use this in your in your house, you can use this in your business. And it was made up by air, created by a guy named James Reason. And what he said was every process was like a piece of Swiss cheese. It had holes that the error or the accident could go through. So the only way to truly error proof human is to layer peace upon peace upon peace. And every failure you have means that the process isn't robust enough, so you have to add another layer of process. And what happens is, after a while, just like pieces of Swiss cheese laid up on after each other, the holes don't line up after a while, and all of a sudden you have error proof humans. And so we've done this in multiple businesses, and it has transformed their quality numbers. It has transformed their safety numbers. And what happens is, and when you can get people behind things like this, you know, you change the entire culture of the of the company or the business, or even at home. You could do these things that I say it in the book. You can do this with your children. You can do this with yourself, right to to make less and less mistakes. And you know, one of the things that a lot of people don't realize too, one of the other key main things, and then I'll get off the book, but one of the key main things the book is, you know, a high frequency, low risk activity like walking. So 30% of all injuries in a workplace are slips, trips and falls. And you'd ask yourself, well, how come people can't walk? Well, they can walk, right? But, well, I don't look at my feet when I walk, because it's a high frequency low risk, so my mind becomes immediately complacent. But if I were to drive a fork truck, or, let's say, operate a crane with a heavy load, every little sound that thing makes, I'm going to be on super high alert so people don't typically get injured on those high risk, low frequency jobs. So what you have to do in a workplace is you actually have to change the risk dia or dynamic to make it feel more risky. And by layering process after process, and sometimes check after check, you increase the risk profile, which decreases complacency,   Michael Hingson ** 53:44 yeah, which makes perfect sense, doesn't it? Yep, and, and I think that that in reality, we take so many things for granted. Gi, I don't know. I think there are a lot of drivers out there who consider driving like walking. It's high frequency and low risk, and it's not. And the way they drive, though, you'd think they think otherwise, yep,   Paul Hylenski ** 54:06 and that's why there's a lot of accidents, you know, but, and you know, there's a study that said the most accidents happen closer to the person's property, closer to the person's house. And you know, when you look at that, it's because I'm getting closer to home. I'm comfortable with the area. I become more complacent, and now I might run through that stop sign, or I might, yeah, make that turn a little faster than normal. So it's it's really important in an environment, and as we as leaders craft our environment. We need to look at the risk profile. We need to look at our processes.   Michael Hingson ** 54:47 It's also true that what we have to do is to learn to be more disciplined about what we do. And I think that's a lot of what you're saying. When you get closer to home, you tend to be more undisciplined, but you've got to keep the discipline. Plan all the way through the process? Yeah, absolutely. And that doesn't necessarily always happen. Were you a pilot when you were in the Marines? No,   Paul Hylenski ** 55:10 so I was a, I was actually worked on helicopters in the Marine Corps, and then after the Marine Corps, I said, you know, I want to, I want to fly and and so I got my pilot's license. It was one of the best things I ever did in my life. And, you know, it taught me a lot about complacency, because being a pilot and checklists and everything, the entire cockpit is designed to defeat complacency, yeah, and, you know, but I was telling a story last week, you know, the most deadly time for a pilot is between 250 and 500 hours. And you think to yourself, again, these are experienced pilots, like, why would somebody, you know, be more dangerous than than a brand new pilot? And it's because of that risk protein as a brand new pilot, everything matters. I'm going through every single checklist item, every noise that the aircraft makes. I'm hyper vigilant. But after about 250 or 250 to 500 hours, now I'm confident. I'm used to the plane. I'm we might skip my checklist, I might do something riskier than normal, right? And that's the complacency death trap, right there.   Michael Hingson ** 56:28 Yeah. And so after 500 hours, you have done it enough that, in theory, it dawns on you. I've got to stay disciplined. I've got to do this the right way, like I did at the beginning, and it makes me safer, and it makes the flight safer.   Paul Hylenski ** 56:45 Yup and, and sometimes, and a lot of pilots have told me that sometimes during that little 250 to 500 you have a lot of near mistakes or mistakes that you learn from pretty quickly. Yeah and, and then that's enough for them to say, Yep, I gotta break myself of this. Yeah,   Michael Hingson ** 57:05 exactly, right. Well, and we're we're seeing so many things at airports now. It's crazy. I don't understand how so many airplanes either collide with each other, or other equipment collides with them and so on. How come we're seeing a lot more of that than we used to   Paul Hylenski ** 57:22 think. Well, I have to be honest, I think as the travel keeps getting more and more, right, you're going to probably see a lot more of this, because it's taxiing. So taxiing for a pilot is at one of those low risk, yeah, high frequency things, right? I'm just, I'm literally down, I'm not in the air. You feel safe because you're on the ground. You're, you know, you're steering it. And a lot of times, they're also very task saturated while they're taxiing. Yeah, so one thing most people don't see is while they're taxiing, they're going through checklists, they're prepping. And, you know, you don't have a good view of around you in the cockpit. You only have a window that you really can't see in the back. And you know, so the reduced visibility, the high you know, high task saturation, and then that, you know, high frequency, low risk. It's perfect environment for complacency to crop up   Michael Hingson ** 58:20 well. And the reality is, a lot of times it's not a pilot's fault that something happened. They're also relying on other people, whether it's air traffic controllers or whatever. And so there are just a lot of issues, and I think that it is something that hopefully National Transportation Safety Board and the FAA and so on, will work more on to try to eliminate more of those accidents. I have a friend whose daughter went on a vacation last Saturday with her husband, and as they were backing away from the terminal, they got hit by some sort of piece of equipment, and it to late, everything by a day. I don't know any of the details, but just so many of those things happen. We we've got to not allow things to be taken for granted. But I, I would not at all say it necessarily wasn't any way a pilot error, because there's no way to for me to know that, and it probably wasn't, but it still happened, which is, which   Paul Hylenski ** 59:19 is, there's humans everywhere. So humans are prone to mistake. And you know exactly the point of the book is, you're never going to error proof a human, but you can air proof processes. Yep,   Michael Hingson ** 59:32 you can do that. Well, if people want to reach out to you and learn more about you, what you do, maybe become involved in your courses and so on. How do they do that?   Paul Hylenski ** 59:41 Yes, so the best, and I love for people to do this. I have a fantastic network and a community on LinkedIn. So the best way to reach me, and you can reach me personally, is through LinkedIn. Just look up my name, Paul Hylenski, and then if you are interested in. Learning. Ai Mike, it's Quantum Leap Academy. So it's www, dot Quantum Leap academy.org, so it's gonna be.org yeahlin ski   Michael Hingson ** 1:00:12 for me,   Paul Hylenski ** 1:00:12 please. So, h, y, l, e, n, s, k, I,   Michael Hingson ** 1:00:17 so, Paul Hylenski on LinkedIn, which makes sense? Yep, and that's it cool. Well, I want to thank you for being here and being a part of this today. It's been educational for me, and it's been a lot of fun. I value the time that we spent, and maybe in the future, if you think we ought to talk some more, I'm always glad to do that. We can, can do more of this, but I really appreciate all the sound knowledge and advice that you shared, and I hope everyone out there listening and watching appreciated it as well. Love to hear from you. If you would let us know what you thought about our podcast today, you can reach me through email, Michael M, I, C, H, A, E, L, H, I at accessibe, A, C, C, E, S, S, I b, e.com, or go to our podcast page, www dot Michael hingson.com/podcast, Michael hingsons, M, I, C, H, A, E, L, H, I N, G, s, O n.com/podcast, wherever you're listening, though, we hope that you like this well enough that you'll give us a five star rating as a review. We really value your reviews. We love them. Please give us a review. And if you've reviewed us on earlier podcasts, don't stop. We'd like to hear it about this one too. We really look forward to your comments and your thoughts. If you know of anyone who ought to be a guest, and Paul you as well. If you think of anyone else who you think ought to come on our podcast, we'd love to hear from you. We're always looking for new friends to make and new people who have stories to tell. So feel free to do it, and we, we'd love to to hear from you in whatever you do. So Paul, again, I want to thank you for being here. This has been absolutely a lot of fun and and I hope we get to do more of it in the future. Yeah. Thank   Paul Hylenski ** 1:01:59 you so much. I really appreciate the opportunity, and this has been great. Thank you, Michael,   Michael Hingson ** 1:02:07 You have been listening to the Unstoppable Mindset podcast. Thanks for dropping by. I hope that you'll join us again next week, and in future weeks for upcoming episodes. To subscribe to our podcast and to learn about upcoming episodes, please visit www dot Michael hingson.com slash podcast. Michael Hingson is spelled m i c h a e l h i n g s o n. While you're on the site., please use the form there to recommend people who we ought to interview in upcoming editions of the show. And also, we ask you and urge you to invite your friends to join us in the future. If you know of any one or any organization needing a speaker for an event, please email me at speaker at Michael hingson.com. I appreciate it very much. To learn more about the concept of blinded by fear, please visit www dot Michael hingson.com forward slash blinded by fear and while you're there, feel free to pick up a copy of my free eBook entitled blinded by fear. The unstoppable mindset podcast is provided by access cast an initiative of accessiBe and is sponsored by accessiBe. Please visit www.accessibe.com . AccessiBe is spelled a c c e s s i b e. There you can learn all about how you can make your website inclusive for all persons with disabilities and how you can help make the internet fully inclusive by 2025. Thanks again for Listening. Please come back and visit us again next week.

This week Annie finds out who was behind the X (formerly know as Twitter) cyberattacks! We also talk how much money we could be making if we sold out, how different the NYC and LA comedy scenes are, asking ChatGBT more questions, and much much more! New Meat & Greet YouTube Channel: https://www.youtube.com/@UCO45BpqlxJlxygvZRIAYMaA "Welcome to AnnieWood Tour" dates - check them out and catch her in your city! https://www.annielederman.com/shows New Comedy Channel: https://www.youtube.com/channel/UCBF9rPmOPaWbtrZtYQw1vbw And just so you don't forget, here's Todd's YouTube channel:  @officejungle-t7n  https://www.youtube.com/@officejungle-t7n Want more, Annie? Of course you do! Here's where you can find her: MEMBERSHIP: Join the Movement and subscribe to our new Patreon! With uncensored and ad-free weekly episodes, exclusive live-stream content, raffles and giveaways, viewer awards, and more! You don't want to miss all the action happening here on Patreon! https://www.patreon.com/annielederman YOUTUBE: Thanks for checking out my podcast, AnnieWood! Click to Subscribe! https://localast.ro/SubAnnie New episodes every Thursday at 9am PST / 12pm EST! INSTAGRAM: Please give us a follow on our NEW Anniewood Podcast Instagram channel for BTS content and a bunch of exclusive media and live videos! @welcome2anniewood WEBSITE: Head to my website, http://annielederman.com for some kicka$$ merch and a list of all my tour dates! Can't wait to see you all out on the road! OUR SPONSOR (THANK YOU!): Get special discounts from our sponsors using the codes below! Support the show and get 10% off your Hero Bread order wtih code ANNIE at https://www.hero.co Produced and Edited by: Walker Media @toddwalker.mp4 This Video Podcast Contains Paid Advertising. #AnnieLederman #AnnieWood #interview #comedy #podcast

Thank you so much for listening to the Bob Harden Show, celebrating over 13 years broadcasting on the internet. On Tuesday's show, we visit with the President of American Commitment Phil Kerpen about the wisdom of shuttering the Consumer Financial Protection Bureau. We visit with our Florida State Senator Kathleen Passidomo about today's start of the Legislative session and about the possible candidacy of Casey DeSantis for Governor. We visit with Boo Mortenson about Chat GBT and the power of artificial intelligence. We also visit Linda Harden about the Epstein files, Trump's presentation tonight to the joint session of Congress, and the left's continued “Trump Derangement Syndrome.” Please join us tomorrow when we visit with Chairman Emeritus of Cato Institute Bob Levy and Professor Andrew Joppa. Access this or past shows at your convenience on my web site, social media platforms or podcast platforms.

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Nu för tiden kan man inte omyndigförklara någon längre, men det finns en modern motsvarighet: förvaltarskap. Den som har fått en förvaltare förlorar makten över sin ekonomi och sin rättshandlingsförmåga. Men ibland blir det fel. Ett sådant fall har nu hamnat i Högsta domstolen, där HD ska pröva vad en person som felaktigt blivit satt under förvaltarskap ska få i skadestånd. Dessutom juridiken kring AI. Kan en AI vara en person i juridisk synvinkel? Vem har ansvaret för skada orsakad av AI? Och vad kan AI göra för jurister? Tove har testat att låta Chat GBT skriva juridik och det gick...sådär.

An experienced, accredited college admissions consultant and essay coach, Kate Stone received her B.S. in Communications and a minor in Creative Writing at New York University. She continued as a Princeton University teaching fellow in Asia shortly before starting University Gurus. She transformed her passion for creative writing and storytelling into actionable strategies for the college admissions process, essays, and the application as a whole. Through her program she coaches students to develop and strategize their most powerful narratives based on their individual ideas and achievements. “What we learned from the Harvard admissions scandal a few years back–I looked through all the transcripts out of curiosity–was top schools really value a personal development journey. Elite colleges cannot rely on grades and test scores only. They really want to understand a student's character, drive, engagement, impact and their dreams. As you know, with artificial intelligence, Chat GBT allows a student to plug in some prompts and it delivers a college essay that's pretty good, maybe even better than what they could write themselves. The schools and the admissions people are talking about making their essays much more creative and much more personal. That's where storytelling is going to be even more important. Students have to identify their own focusing lens or thread to hang their content hat on, getting really creative to the degree that AI can't generate an application essay. That's where personal storytelling is going to be even more important. Students will need to ask themselves if they are skilled enough as a writer to best express their values, what's important to them, obstacles that get in their way around those values, are they allowing their true self to emerge, etc. If not, they will need to find support on how to express and differentiate themselves. I don't do the work for my students. I usually spend two to four months helping them dig into themselves and craft their own college entry essays.”

In this itty-bitty episode, Gwen & Kate are in person walking along Bristol Harbour in the sunshine with ducks, geese & passing barges. We chat about ways to turn around that feeling of drifting, boob jobs, the importance of having a destination and focus, being selective about what we say YES to, and how Mel Robin's 'Let Them' theory could change our lives and those around us.Plus listener shoutouts! And some unexpected drinking advice from Gwen's hairdresser. Mentioned in this episode: Mel Robbin's Let Them TheoryOther relevant RUMP episodes: Ep.42 - Vision Boarding: Getting clear about your futureGet a shout-out:Want a mention on the next RUMPette? Tell us your feedback or what you do to make yourself feel good: rightupmypodcast@gmail.com Support RUMP: If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you! Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | Patreon Or, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee! Be social with us:Instagram Facebook TikTok Thank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeSocial Media - Kate Balls

TIME STAMPS:00:18 About Daniel Trevor and inspiration behind writingThe Unholy Trinity /  HEART ATTACK SURVIVOR turned WELLNESS WARRIOR, citizen scientist, and serial entrepreneur who has created several start-up businesses from scratch, including a high-tech CTI (computer-telophony integration) company that eventually grew to over 300 employees and 3000 independent contractors!!!05:18 Why we've been feed a bunch of LIES by leading contributors to the food industry in the 21st century.08:01 How Proctor & Gamble invented CRISCO (with ingredients resembling machine lubrications) and began selling in 1911 spurring the beginning of the second revolution and polluting food quality today as a result.09:54 Spotting and identifying DEADLY OLIVE OILS between HEALTHY OLIVE OILS!16:23 THE GATEWAY DISEASE ( not in the book yet - stay tuned for his revised copy ! ): HYPERINSULINEMIA ( too much insulin in the blood ). This is the ROOT CAUSE to PCOS, ALZHEIMERS, BLINDNESS, and countless other shocking side-effects!21:05 DON'T GUESS. TEST! Why even “seemingly healthy” individuals and athletes should regularly test important health markers, and which ones are the most important to keep track of.22:03 Easiest way to order your labwork through QUEST DIAGNOSTICS. Seewww.danieltrevor.com. 23:09 ENTREPRENEURS and ASPIRING BOOK PUBLISHERS: Daniel's inspiring story of getting his powerful message out where people could find it leading to its success as a BESTSELLER!25:02 Grim reality of the profit margins behind major STATIN-SELLING companies; what science REALLY says about HDL and LDL.28:08 What we can learn about HEART ATTACKS and strokes looking back at the ischemia trial.35:02 How years of eating the wrong foods builds up plaque in your arteries and ult38:14 All about the GLYCOCALYX and its role in PLAQUE BUILDUP.46:01 L.I.S.S. Chris Vilela ( IG @ chrisvlone / Quebec, Canada ), Podcast review (thanks Cameron!) & Richard's BAD-COACH CALLOUT! - GLYPHOSATE, the Shikimate pathway, its link with DEPRESSION & ANXIETY, and how CHAT GBT purposefully distorts data on this topic!57:49 GLIADIN, the more destructive part of GLUTEN, and its MORPHINE-LIKE EFFECTS that creates food addictions.01:01:44 The difference between “the carnivore diet” and “the lion diet.”01:10:13 What to watch out for on ingredient labels at the store concerning LOW-FAT FOODS.01:12:42 Bone-broth fasting.01:15:04 How Chris Vilela & Colt are eating mostly raw wild game (ESPECIALLY MOOSE!) and combining intermittent fasting to maximize nutrient bioavailability and muscle growth naturally.01:20:32 What we can learn from CENTURIONS (people who have lived over 100 years) and why MUSIC and other forms of creative exercises are scientifically proven to build BDNF (brain-derived neuro factors) and how it helps you build new brain cells! Uncovering studies of how workout results were improved by simply listening to music.01:30:24 How to MASTER CONTROL of your own EMOTIONS.For CREATINE, GLUTAMINE, AMINOS & other performance supplementation:Coach Colt's Supplement Store (US):https://supersetyourlife.com/collections/supplementsCoach Richard's Supplement Store (UK):https://theketopro.com/collections/keto-supplementsQuestions for Coach Colt? Your first phone call is free for 15 minutes; I also offer 30 & 60 minute 1:1 consultations and monthly coaching services. Emailcolt@supersetyourlife.com or book here:https://calendly.com/ssyl/meet-greetPURELY TALLOW ANIMAL BASED SKINCARE: Save 10% with code COLT10!-https://f22e68.myshopify.com?ref=colt_milton

Welcome To The Real Oshow, On this show, we hang out with Stand-up Comedian, Writer, and Viral Sensation Sean Millea. We discuss what it's like to be friends with + open for Mark Normand and Tim Dillion. What is the best advice they have ever given him? We also asked if he has ever been close to being on The Joe Rogan Podcast because of his relationship with Tim and Mark.We also dived into artificial intelligence if Sean uses them to find ideas and content. Sean then mentioned that he has been using ChatGBT as a Therapist to make himself feel better. This is an excellent show with plenty of laughs. As always, enjoy the show, and see you next week!All Love, 

The battle for honest money went on for over a hundred years in American history, but the cause was lost in 1913. How did this happen, and what are the biblical standards for honest money? Andy Keusel, producer of a video course on Biblical money, joins us on this edition of the program. These are the basics that every Christian family and all of our children need to understand if we will ever restore honest money to the world. Check out more info at www.biblical-money.com This program includes: 1. The World View in 5 Minutes with Adam McManus (North Korea tortures, publicly executes, imprisons Christians; DeepSeek, a Chinese AI, beats ChatGBT; California ends prosecution of two pro-life activists) 2. Generations with Kevin Swanson

It's Wednesday, January 29th, A.D. 2025. This is The Worldview in 5 Minutes heard on 125 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Jonathan Clark North Korea tortures, publicly executes, imprisons Christians The Database Center for North Korean Human Rights released their 2024 White Paper on Religious Freedom in North Korea. The research is based on the accounts of North Koreans who defected to South Korea. It includes over 15,000 responses and over 2,000 cases of persecution. Ninety-six percent of respondents said that religious activities are not permitted in North Korea. And only 5% report having seen religious items like a Bible.  Yeo-sang Yoon, director of the North Korean Human Rights Archives, noted, “Right now, people [of faith] are being tortured, sent to concentration camps, or publicly executed.” North Korea remains the worst country on the Open Doors' World Watch List of nations where it is most difficult to be a Christian.  Young Brits more likely to have Christian faith than be atheist OnePoll released a survey this month entitled, “Belief in Britain.”  The study of 10,000 people found atheism is losing influence on younger generations. Only 13% of those aged 18-24 identify as atheist compared to 25% of those aged 45-64. Younger people were also the most likely to identify as religious, meaning they worship regularly and ascribe to a specific belief system.  DeepSeek, a Chinese AI, beats ChatGBT DeepSeek, a Chinese artificial intelligence company, released a large language model last week. The Artificial Intelligence assistant quickly outperformed ChatGPT in downloads at the Apple App Store. DeepSeek's app surprised experts, performing better than American AI chatbots despite being produced with less money and computing power.  The news sent the tech-heavy Nasdaq Composite down 3% on Monday. U.S. chipmaker Nvidia led the losses, dropping 17% or nearly $600 billion in market value. It's the largest one-day loss for any company.  Trump bans woke gender ideology from military President Donald Trump signed executive orders on Monday to keep radical gender ideology and diversity, equity, and inclusion initiatives out of the military. Trump noted, “Consistent with the military mission and longstanding [Dept. of Defense] policy, expressing a false ‘gender identity' divergent from an individual's sex cannot satisfy the rigorous standards necessary for military service.” Trump's orders also offer reinstatement for troops who faced expulsion for not getting the COVID-19 shot during the pandemic. Supreme Court considers a religious charter school case Last Friday, the U.S. Supreme Court agreed to hear a case involving the first publicly funded religious charter school. Oklahoma's state school board approved a Catholic church to open a charter school. St. Isidore of Seville Catholic Virtual School was set to begin classes in August 2023. But the state's supreme court ruled against the approval. The case is now before the U.S. Supreme Court. Jim Campbell with Alliance Defending Freedom said, “The U.S. Constitution protects St. Isidore's freedom to operate according to its faith and supports the board's decision to approve such learning options for Oklahoman families.”  California ends prosecution of two pro-life activists Praise God! The state of California agreed to end its prosecution of two pro-life activists on Monday. David Daleiden and Sandra Merritt have faced years of litigation and millions of dollars in fines for their pro-life work. Their undercover videos exposed Planned Parenthood's illegal sale of the body parts of aborted babies. David and Sandra shared the videos through their organization The Center for Medical Progress.  David said, “After enduring nine years of weaponized political prosecution, putting an end to the lawfare launched by Kamala Harris is a huge victory for my investigative reporting and for the public's right to know the truth about Planned Parenthood's sale of aborted baby body parts. Now we all must get to work to protect families and infants from the criminal abortion-industrial complex.” Proverbs 24:11 says, “Deliver those who are drawn toward death, and hold back those stumbling to the slaughter.” Christians minister to victims of California fires And finally, Christians continue to provide relief to those affected by wildfires in California. CBN's Operation Blessing is working with local first responders and churches to bring long-term assistance. In the midst of suffering and loss, pastors are seeing a surge in church attendance. Listen to a comment from Pastor Steve Wilburn of Core Church LA  to CBN News. WILBURN: “We're seeing people come into the church, and we're seeing hurting people. You know, it's been said in times past. You know, if you're going to speak to hurting people, you're never going to run out of people to speak to. But we're seeing people make commitments to Christ. That's what we're seeing.” In Matthew 11:28, Jesus said, “Come to Me, all you who labor and are heavy laden, and I will give you rest.” Close And that's The Worldview on this Wednesday, January 29th, in the year of our Lord 2025. Subscribe by Amazon Music or by iTunes or email to our unique Christian newscast at www.TheWorldview.com. Or get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

The battle for honest money went on for over a hundred years in American history, but the cause was lost in 1913. How did this happen, and what are the biblical standards for honest money? Andy Keusel, producer of a video course on Biblical money, joins us on this edition of the program. These are the basics that every Christian family and all of our children need to understand if we will ever restore honest money to the world. Check out more info at www.biblical-money.com This program includes: 1. The World View in 5 Minutes with Adam McManus (North Korea tortures, publicly executes, imprisons Christians; DeepSeek, a Chinese AI, beats ChatGBT; California ends prosecution of two pro-life activists)2. Generations with Kevin Swanson

On today's Views podcast, David addresses steroid rumors, Jason gets recruited by the BFF'S podcast and the guys help a bisexual woman with her pickup game. Plus, David has Chat GBT hurl insults at Jason,Jason gains weight while taking Ozempic and the guys discuss the future of AI including what it would be like to have an AI girlfriend. And later, Natalie joins the guys to tell a harrowing story of a fan who broke into their living room. Also, spending $200,000 on bottle service, David's mom sees a medium and David says Natalie gives him the ick.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Title: ACHP Episode 372 – Big Moves and Bold Moves: This Week's Trending News, Sports, and Cigars This week on ACHP Episode 372, we're diving into the latest headlines that are making waves. In the world of politics, Donald Trump declared an early victory after Colombia backed down in a high-stakes dispute over migrant repatriation flights, showcasing the effectiveness of his tough foreign policy. Meanwhile, Super Bowl fever is heating up with the Kansas City Chiefs and the Philadelphia Eagles gearing up for the big game! We'll also touch on a bizarre fuel mix-up in Avon, Ohio, that caused damage to several cars, as well as an adorable moment between Saquon Barkley and his daughter at the NFC Championship Game. For cigar enthusiasts, there's exciting news from the industry! Crowned Heads is revamping its Mule Kick for 2025, El Baton Cameroon Firecracker is set for an August release, and General Cigars has unveiled the new El Rey Del Mundo Shade Grown Churchill. Villiger is also adding a box-pressed Toro to its 1888 Nicaragua line, and Jaime Flórez-Estrada joins Global Premium Cigars while Michael Giannini teams up with Perdomo. And don't miss this week's ChatGBT editorial, brought to you by Leaf and Bean by Island Jim Lounge in St. Augustine, Florida—where I'll be doing a Cut n' Light event on Thursday, February 20th, from 6 to 9 pm. Tune in for all this and more!

Send us a textToday we are talking about one of the ways you can get paid to travel and that is pitching to Tourism boards via UGC content creation. It sounds more intimidating than it is and we have on Roxanne from @travelcreatorCEO to break it down. In this episode we are covering: The difference between a travel influencer and a travel UGC content creator How to effectively pitch to tourism boards and land jobs The 50 pitch UGC challenge: should you do it?Travel UGC content creator mistakes Should we be using Chat GBT to pitch to tourism boards? Why content creators need to start using LinkedIn like yesterdayChapters:01:41 Understanding UGC for Tourism Boards06:40 Pitching to Tourism Boards09:40 Effective Pitching Strategies17:01 Challenges and Persistence in Pitching22:50 Creating Compelling UGC Travel Content26:55 The Challenge of Aesthetic Content27:38 Creating Engaging Content28:08 The Importance of Hooks29:09 Analyzing High-Performing Content31:43 Building a Travel Content Portfolio33:18 Monetizing Travel Content36:57 The Power of LinkedIn for Travel CreatorsNEW: Watch our Youtube Channel:https://www.youtube.com/@TravelContentWritingSchedule a call with me: https://travelcontentwriting.hbportal.co/public/66ddf21fc4f45e00190a4e0e Schedule a coaching call LIVE on the podcast: https://travelcontentwriting.hbportal.co/public/6750837edf524d0027c155ef Want to be featured on the pod?https://docs.google.com/forms/d/e/1FAIpQLScrPYGf4l_wWSGQgul4vY-8DS-5Kloj0owstVehKn9r_oabRA/viewformSign up to be the first to hear about my DIY Content Repurposing Course:https://travelcontentwriting.hbportal.co/public/6711a7aae9d903002c5f3c57/1-Inquiry_formAI Prompts to Grow Your Travel Content: https://www.travelcontentwriting.com/creatorresources/p/aipromptsfortravelcontentcreators FREE Resources:FREE Creator Wildfire Co-Working Community:...

In this cute sized episodette, Gwen & Kate chat about the World Health Organisation's findings that Arts + Culture is good for us. Kate puts this to the test seeing Midsummer Night's Dream at the Barbican and Gwen consults her 2nd best friend ChatGPT about how to manage phone addiction and anxiety, and comes up with a daily routine we'd both love to live by! And Kate challenges Gwen to try it out. Plus listener shoutouts! Including a message from RUMP Patreon Jo Hook, who's inviting us all to take part in fun team fundraising events for Bristol-based charity Temwa, raising funds for communities in Malawi. Kate and Gwen decide on air to do a fire walk! And you're invited to join them. For more information on Temwa's events check out their website. Get a shout-out:Want a mention on the next RUMPette? Tell us your feedback or what you do to make yourself feel good: rightupmypodcast@gmail.com Support RUMP: If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you! Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | Patreon Or, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee! Be social with us:Instagram Facebook TikTok Thank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeSocial Media - Kate Balls

Timdavisonline (00:00.0) All right. It's Tim here. Glad that you are listening and appreciate all the listeners to the podcast. Listen, today I want to talk with you about maybe how you're using chat GPT, but more importantly, one of the ways that we're using chat GPT right now and having some good success. So I'm going go back in time. Many, many years ago, I went to a conference and one of the speakers at the conference talked about the power of disk personality reports. And if you're ever around me for any length of time at all, you'll know that I exclusively use disk in hiring. Timdavisonline (00:30.018) team building, my coaching practice. It really is the center of everything. I see too many people believe that someone's capable of this or that when maybe they're not, right? Or maybe they're a hidden gem and you don't know how much time to invest into them. The disc report to me is everything. Well, in my origination career, I began to use the disc report to identify others, whether it was real estate agents, consumers, and I started to adjust my selling style to what I believed would be Timdavisonline (00:59.692) their preferred way of receiving, right? So D's want really sharp, to the point stuff. I's want more of a relational. S's you need to be more calm with and give them choices. And C's, they're to be very analytical. So I kind of played a game of like when I would go networking or talking to people or get a customer on the phone, could I identify their personality style and then adjust my selling style to how they would best receive it. And so I think I did pretty good over the years on that. Timdavisonline (01:29.344) Most recently with ChatGPT, we've had people that have ghosted us. I'm sure that's never happened to you guys, but occasionally it does happen. And my partner was thinking one day, you know, can't get this guy back on the phone, this customer, and he's going to miss out. Like, I need to know, like, do you want to go forward or you not? Either way is fine, but I just need to get it off my plate. So she went to ChatGPT and she assumed the guy was like a high D personality. Meaning they just want... Timdavisonline (01:57.858) Bottom line, straight into the point. So she said, hey, chat GPT, can you write me a follow up email to this client in the style of a high D personality, asking them if they want to continue the mortgage application or not? And sure enough, boom, chat GPT spit it out. And it was very direct and it was bullet pointed and it was to the point. So she tested it. She sent it to the customer. Within 10 minutes, the customer replied, said, please lock in my loan. Let me know what's next. Timdavisonline (02:27.99) And at that point we realized we were onto something with ChatGBT. We can get ChatGBT to talk in the preferred receiving style of the reader. So if I want copy written to high Ds, I ask it to. If I want copies written to high I's, I ask it to. And so we've been playing around with that and having a lot of success. So I just want to throw that tip out there to you. Cause here's what I know. Somebody in your city is going to get a mortgage today. I don't know if they're going to get that mortgage from you. I sure hope they do, but that's your job. Make sure you're known. Timdavisonline (03:12.032) Call somebody, ask them for that referral, lock that loan in. And if you need coaching, it's only $1 for coaching sessions. One buck. Can't beat it. Theoriginatorsguide.com. Click on coaching, check out the special. Keep listening. Appreciate all you guys. Have an awesome day. See you soon. Bye.

This week our host Brandi Starr is joined by Steven J. Lewis, Founder of the Sydney-based marketing agency, Taleist.  Meet Steven J. Lewis, a pioneering force in direct response copywriting and AI integration. From developing innovative techniques to using AI for audience research and content creation to delivering copy that's 80% ready for publication, Steven is revolutionizing the way we approach marketing.  In this episode of Revenue Rehab, Brandi and Stephen delve into the common pitfalls of AI tool implementation, unveil effective techniques to optimize AI for content creation, and provide actionable insights to enhance your marketing workflow. Get ready to transform the way you leverage AI in your marketing strategies.  Bullet Points of Key Topics + Chapter Markers:  Topic #1: The Importance of Detailed AI Prompts [00:03:53] "If you find yourself starting a conversation with your AI with one sentence, you're doing it wrong. That, that's, that's it. I would like people to check themselves and to know that if they see their employees or team members or whoever it might be typing into a chat, please summarize this document for me. And that is the most they think they can get from their AI. That's what I'd like people to realize. Hang on a minute, we're not doing this right." - Steven J. Lewis  Topic #2: AI as a Thought Partner [00:17:45] "Chat GPT is a Formula one car that not only can write if you prompt it correctly, but can help you with your thinking. So a lot of the prompts that I write for people, like in my course, make Chat GPT your CMO, right? That is a course that is a lot of it is about getting chat GPT to consult to you." - Steven J. Lewis  Topic #3: Custom GPTs and Workflow Enhancements [00:25:44] "And that gives you a richness of response from Chat GBT that you're just never going to get by saying, I'm writing an email to mothers aged over 35 who live in, you know, the continental U.S. you're just never going to get an answer from Chat GPT that gives you the same richness as if you've structured the data first." - Steven J. Lewis  What's One Thing You Can Do Today  Steven's ‘One Thing' is to get started with understanding your voice using AI. “I've got a five-minute course on my website. It's free. You have to give me your email address. So, okay, it's not free. I will charge you one email address in order to take it. But it's a video, so you can watch part of the video first. It will show you how to get chat GPT to write in your tone of voice exactly like you. What if you could make it sound exactly like you? So I've got a prompt that will divine your tone of voice and give that back to you so that you can use that as a prompt to ChatGPT.”  To get started, visit Steven's website and take the mini-course to learn how to make ChatGPT write in your unique tone of voice. This foundational step can transform how you leverage AI for more personalized and effective messaging in your marketing efforts.  Buzzword Banishment  Steven's Buzzword to Banish is ‘passion'. Steven wants to banish 'passion' because, he explains, "because passion is about you. It's not about your customers or your clients. Your clients don't care if you're passionate. If I go to the dentist, I do not care if my dentist is passionate. I care if my dentist is good at his job."  Links:  LinkedIn: https://www.linkedin.com/in/stevenlewissydney/  YouTube: https://www.youtube.com/user/TaleistTV     Subscribe, listen, and rate/review Revenue Rehab Podcast on Apple Podcasts, Spotify, Google Podcasts , Amazon Music, or iHeart Radio and find more episodes on our website RevenueRehab.live  

This week we are joined by Sidney's long time friend, musician and comedian Wic Whitney! We talk extensively about sexy cartoon characters, Disney villains, what kind of furry we would be, and figure out whether Chat GBT has enough bars to be a ghostwriter. This is a celebration of gay love and all things homosexual--and the list might surprise you

TIME STAMPS: 01:32 Critical reflections and recent lifestyle changes made having recently listened to Eddie's recent ketone speeches; what I've learned, applied and taught lately since hearing Eddie's latest content. 03:31 Best places to follow Eddie Goeke and all of his content: IG ed.goeke_  BOOK “CONTRAINDICATED”   YOUTUBE CHANNEL Patreon 05:51 What Eddie eats in a day, and why! 15:38 A long running list of RUMINANT ANIMALS and which ones to consider are best for you based on your BUDGET, your HEALTH GOALS, what TASTES THE BEST; a discussion around the nutrient profiles and practical application of incorporating ruminant animals as the foundation of your diet. 19:55 Local Farms, Auldi's, and other places Eddie shops to make his meat-based lifestyle work sustainably. 26:30 OXALATES: Plant's primary defense mechanism against predators (including humans). Why your life will dramatically improve in an absurd number of ways by removing this compound (even Paul Salidino agrees on this one)p 29:08 OXALATE CRYSTALS - symptoms, anecdotal reviews and testimonials of damaging effects of plant toxicity and proven results of the symptoms being cured because of having removed oxalates from their diet. 35:05 Advice on how to best LEARN from your fitness journey and educate yourself with RELIABLE, COLLEGE-LEVEL BIOCHEMISTRY knowledge so you know why you are achieve the results you are attaining. 44:56 YouTube, CHAT GBT, and other tools/search-engines. 51:02 EVERYTHING YOU NEED TO KNOW ABOUT SEA SALT!!! Best sources, how to identify how much sodium to consume, and how to find the most bioavailable type of sea salt based on your preference and your athletic goals. 52:14 Effects of EXOGENOUS KETONES, ELECTROLYTE SUPPLEMENTATION, SODIUM and WATER consumption during a PROLONGED FAST. 55:00 Critical review of RE-LYTE, L.M.N.T. (ESPECIALLY MALTODEXTRIN), Elevate, KETO-PRO and other electrolyte supplements within the context of ATHLETES and “non-athletic/more-normal-people” lifestyles. 01:01:02 HEART PALPITATIONS - Oxalate dumping, potassium overload, and other root causes of this dreadful symptom! 01:02:11 All about PROLONGED FASTS (PL): Mentality, “what breaks a fast,” and what you'll benefit additionally from eating “one meal per day” (O.M.A.D.) 01:07:18 The science of CARBOHYDRATE ADDICTION, FOOD ADDICTION, and other sensitive topics.More about assessing SATIETY SIGNALS. 01:52:02 Reflection of NATHANIEL GATES, the INBF, and how to truly master a LION DIET CARNIVORE BODYBUILDING PREP and finish it off with a 48 hour fast as the icing on the cake; how to become the most shredded athlete on stage without doing any cardio. E168 - Beating Chron's Disease the Natural Way, with Coaches Nathaniel Gates & Mark Ennis 01:07:02 How to truly identify the difference between REAL HUNGER and a STRESS-RELATED CRAVING (related to boredom). 01:13:49 NIGHT TIME EATING - Why this is NOT A BAD THING. In fact for you it might be best depending on your lifestyle. The main thing is to follow a proper human diet in the first place and that fixes the need to even worry about when to eat. Get your INSULIN LEVELS FIXED! 01:17:02 New CHEVY WALKER TRUCKER CAPS and other merchandise at SUPERSETYOURLIFE.COM ! 01:19:23 The REAL, RAW TRUTH about CARBOHYDRATES and the CARNIVORE DIET. 01:27:03 PEAK WEEK PROTOCOL as a fat-adapted athletes … to add carbs or to not add carbs … that is the question!  01:3045 Carnivore Coach Peter (IG - carnivorecoachpeter *BLUE CHECK*) Top Level Carnivore Coaching Course Sign Up Information !!!  01:34:01 All of the inspiration behind Eddie's new book and what you'll benefit from purchasing it. Perks, generous offers and “free-bee's” you'll get from applying his content and interacting with him. Email: ed.goeke@gmail.com  01:42:03 “Rebels and Ragers” audio  (Chevy Walker Music )  / 4-OH-SICK MUZIK ENTERTAINMENT LLC / IG @soundslitbeatz / @fohsickmuzik [ CLICK FOR OUR MUSIC VIDEO ON YOUTUBE ]

In this semi-sode, Gwen & Kate chat about the the importance of getting enough sleep during Xmas party season, and how being deprived of things during Storm Darragh makes us appreciate them so much more – like washing hands! Taking showers! Kate briefly turns into a white van driver and then shares words of the year from across the globe. Australia winning hands down. Plus listener shoutouts!Other episodes referred to in this RUMPette: Ep.60 - Perimenopause & ADHD – Hormones, HRT and How to get Help with Lisa PaascheEp.25 - Law of Attraction – Manifesting your dreams into reality with Emma MumfordIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

The full schedule for Latent Space LIVE! at NeurIPS has been announced, featuring Best of 2024 overview talks for the AI Startup Landscape, Computer Vision, Open Models, Transformers Killers, Synthetic Data, Agents, and Scaling, and speakers from Sarah Guo of Conviction, Roboflow, AI2/Meta, Recursal/Together, HuggingFace, OpenHands and SemiAnalysis. Join us for the IRL event/Livestream! Alessio will also be holding a meetup at AWS Re:Invent in Las Vegas this Wednesday. See our new Events page for dates of AI Engineer Summit, Singapore, and World's Fair in 2025. LAST CALL for questions for our big 2024 recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!When we first observed that GPT Wrappers are Good, Actually, we did not even have Bolt on our radar. Since we recorded our Anthropic episode discussing building Agents with the new Claude 3.5 Sonnet, Bolt.new (by Stackblitz) has easily cleared the $8m ARR bar, repeating and accelerating its initial $4m feat.There are very many AI code generators and VS Code forks out there, but Bolt probably broke through initially because of its incredible zero shot low effort app generation:But as we explain in the pod, Bolt also emphasized deploy (Netlify)/ backend (Supabase)/ fullstack capabilities on top of Stackblitz's existing WebContainer full-WASM-powered-developer-environment-in-the-browser tech. Since then, the team has been shipping like mad (with weekly office hours), with bugfixing, full screen, multi-device, long context, diff based edits (using speculative decoding like we covered in Inference, Fast and Slow).All of this has captured the imagination of low/no code builders like Greg Isenberg and many others on YouTube/TikTok/Reddit/X/Linkedin etc:Just as with Fireworks, our relationship with Bolt/Stackblitz goes a bit deeper than normal - swyx advised the launch and got a front row seat to this epic journey, as well as demoed it with Realtime Voice at the recent OpenAI Dev Day. So we are very proud to be the first/closest to tell the full open story of Bolt/Stackblitz!Flow Engineering + Qodo/AlphaCodium UpdateIn year 2 of the pod we have been on a roll getting former guests to return as guest cohosts (Harrison Chase, Aman Sanger, Jon Frankle), and it was a pleasure to catch Itamar Friedman back on the pod, giving us an update on all things Qodo and Testing Agents from our last catchup a year and a half ago:Qodo (they renamed in September) went viral in early January this year with AlphaCodium (paper here, code here) beating DeepMind's AlphaCode with high efficiency:With a simple problem solving code agent:* The first step is to have the model reason about the problem. They describe it using bullet points and focus on the goal, inputs, outputs, rules, constraints, and any other relevant details.* Then, they make the model reason about the public tests and come up with an explanation of why the input leads to that particular output. * The model generates two to three potential solutions in text and ranks them in terms of correctness, simplicity, and robustness. * Then, it generates more diverse tests for the problem, covering cases not part of the original public tests. * Iteratively, pick a solution, generate the code, and run it on a few test cases. * If the tests fail, improve the code and repeat the process until the code passes every test.swyx has previously written similar thoughts on types vs tests for putting bounds on program behavior, but AlphaCodium extends this to AI generated tests and code.More recently, Itamar has also shown that AlphaCodium's techniques also extend well to the o1 models:Making Flow Engineering a useful technique to improve code model performance on every model. This is something we see AI Engineers uniquely well positioned to do compared to ML Engineers/Researchers.Full Video PodcastLike and subscribe!Show Notes* Itamar* Qodo* First episode* Eric* Bolt* StackBlitz* Thinkster* AlphaCodium* WebContainersChapters* 00:00:00 Introductions & Updates* 00:06:01 Generic vs. Specific AI Agents* 00:07:40 Maintaining vs Creating with AI* 00:17:46 Human vs Agent Computer Interfaces* 00:20:15 Why Docker doesn't work for Bolt* 00:24:23 Creating Testing and Code Review Loops* 00:28:07 Bolt's Task Breakdown Flow* 00:31:04 AI in Complex Enterprise Environments* 00:41:43 AlphaCodium* 00:44:39 Strategies for Breaking Down Complex Tasks* 00:45:22 Building in Open Source* 00:50:35 Choosing a product as a founder* 00:59:03 Reflections on Bolt Success* 01:06:07 Building a B2C GTM* 01:18:11 AI Capabilities and Pricing Tiers* 01:20:28 What makes Bolt unique* 01:23:07 Future Growth and Product Development* 01:29:06 Competitive Landscape in AI Engineering* 01:30:01 Advice to Founders and Embracing AI* 01:32:20 Having a baby and completing an Iron ManTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:12]: Hey, and today we're still in our sort of makeshift in-between studio, but we're very delighted to have a former returning guest host, Itamar. Welcome back.Itamar [00:00:21]: Great to be here after a year or more. Yeah, a year and a half.Swyx [00:00:24]: You're one of our earliest guests on Agents. Now you're CEO co-founder of Kodo. Right. Which has just been renamed. You also raised a $40 million Series A, and we can get caught up on everything, but we're also delighted to have our new guest, Eric. Welcome.Eric [00:00:42]: Thank you. Excited to be here. Should I say Bolt or StackBlitz?Swyx [00:00:45]: Like, is it like its own company now or?Eric [00:00:47]: Yeah. Bolt's definitely bolt.new. That's the thing that we're probably the most known for, I imagine, at this point.Swyx [00:00:54]: Which is ridiculous to say because you were working at StackBlitz for so long.Eric [00:00:57]: Yeah. I mean, within a week, we were doing like double the amount of traffic. And StackBlitz had been online for seven years, and we were like, what? But anyways, yeah. So we're StackBlitz, the company behind bolt.new. If you've heard of bolt.new, that's our stuff. Yeah.Swyx [00:01:12]: Yeah.Itamar [00:01:13]: Excellent. I see, by the way, that the founder mode, you need to know to capture opportunities. So kudos on doing that, right? You're working on some technology, and then suddenly you can exploit that to a new world. Yeah.Eric [00:01:24]: Totally. And I think, well, not to jump, but 100%, I mean, a couple of months ago, we had the idea for Bolt earlier this year, but we haven't really shared this too much publicly. But we actually had tried to build it with some of those state-of-the-art models back in January, February, you can kind of imagine which, and they just weren't good enough to actually do the code generation where the code was accurate and it was fast and whatever have you without a ton of like rag, but then there was like issues with that. So we put it on the shelf and then we got kind of a sneak peek of some of the new models that have come out in the past couple of months now. And so once we saw that, once we actually saw the code gen from it, we were like, oh my God, like, okay, we can build a product around this. And so that was really the impetus of us building the thing. But with that, it was StackBlitz, the core StackBlitz product the past seven years has been an IDE for developers. So the entire user experience flow we've built up just didn't make sense. And so when we kind of went out to build Bolt, we just thought, you know, if we were inventing our product today, what would the interface look like given what is now possible with the AI code gen? And so there's definitely a lot of conversations we had internally, but you know, just kind of when we logically laid it out, we were like, yeah, I think it makes sense to just greenfield a new thing and let's see what happens. If it works great, then we'll figure it out. If it doesn't work great, then it'll get deleted at some point. So that's kind of how it actually came to be.Swyx [00:02:49]: I'll mention your background a little bit. You were also founder of Thinkster before you started StackBlitz. So both of you are second time founders. Both of you have sort of re-founded your company recently. Yours was more of a rename. I think a slightly different direction as well. And then we can talk about both. Maybe just chronologically, should we get caught up on where Kodo is first and then you know, just like what people should know since the last pod? Sure.Itamar [00:03:12]: The last pod was two months after we launched and we basically had the vision that we talked about. The idea that software development is about specification, test and code, etc. We are more on the testing part as in essence, we think that if you solve testing, you solve software development. The beautiful chart that we'll put up on screen. And testing is a really big field, like there are many dimensions, unit testing, the level of the component, how big it is, how large it is. And then there is like different type of testing, is it regression or smoke or whatever. So back then we only had like one ID extension with unit tests as in focus. One and a half year later, first ID extension supports more type of testing as context aware. We index local, local repos, but also 10,000s of repos for Fortune 500 companies. We have another agent, another tool that is called, the pure agent is the open source and the commercial one is CodoMerge. And then we have another open source called CoverAgent, which is not yet a commercial product coming very soon. It's very impressive. It could be that already people are approving automated pull requests that they don't even aware in really big open sources. So once we have enough of these, we will also launch another agent. So for the first one and a half year, what we did is grew in our offering and mostly on the side of, does this code actually works, testing, code review, et cetera. And we believe that's the critical milestone that needs to be achieved to actually have the AI engineer for enterprise software. And then like for the first year was everything bottom up, getting to 1 million installation. 2024, that was 2023, 2024 was starting to monetize, to feel like how it is to make the first buck. So we did the teams offering, it went well with a thousand of teams, et cetera. And then we started like just a few months ago to do enterprise with everything you need, which is a lot of things that discussed in the last post that was just released by Codelm. So that's how we call it at Codelm. Just opening the brackets, our company name was Codelm AI, and we renamed to Codo and we call our models Codelm. So back to my point, so we started Enterprise Motion and already have multiple Fortune 100 companies. And then with that, we raised a series of $40 million. And what's exciting about it is that enables us to develop more agents. That's our focus. I think it's very different. We're not coming very soon with an ID or something like that.Swyx [00:06:01]: You don't want to fork this code?Itamar [00:06:03]: Maybe we'll fork JetBrains or something just to be different.Swyx [00:06:08]: I noticed that, you know, I think the promise of general purpose agents has kind of died. Like everyone is doing kind of what you're doing. There's Codogen, Codomerge, and then there's a third one. What's the name of it?Itamar [00:06:17]: Yeah. Codocover. Cover. Which is like a commercial version of a cover agent. It's coming soon.Swyx [00:06:23]: Yeah. It's very similar with factory AI, also doing like droids. They all have special purpose doing things, but people don't really want general purpose agents. Right. The last time you were here, we talked about AutoGBT, the biggest thing of 2023. This year, not really relevant anymore. And I think it's mostly just because when you give me a general purpose agent, I don't know what to do with it.Eric [00:06:42]: Yeah.Itamar [00:06:43]: I totally agree with that. We're seeing it for a while and I think it will stay like that despite the computer use, et cetera, that supposedly can just replace us. You can just like prompt it to be, hey, now be a QA or be a QA person or a developer. I still think that there's a few reasons why you see like a dedicated agent. Again, I'm a bit more focused, like my head is more on complex software for big teams and enterprise, et cetera. And even think about permissions and what are the data sources and just the same way you manage permissions for users. Developers, you probably want to have dedicated guardrails and dedicated approvals for agents. I intentionally like touched a point on not many people think about. And of course, then what you can think of, like maybe there's different tools, tool use, et cetera. But just the first point by itself is a good reason why you want to have different agents.Alessio [00:07:40]: Just to compare that with Bot.new, you're almost focused on like the application is very complex and now you need better tools to kind of manage it and build on top of it. On Bot.new, it's almost like I was using it the other day. There's basically like, hey, look, I'm just trying to get started. You know, I'm not very opinionated on like how you're going to implement this. Like this is what I want to do. And you build a beautiful app with it. What people ask as the next step, you know, going back to like the general versus like specific, have you had people say, hey, you know, this is great to start, but then I want a specific Bot.new dot whatever else to do a more vertical integration and kind of like development or what's the, what do people say?Eric [00:08:18]: Yeah. I think, I think you kind of hit the, hit it head on, which is, you know, kind of the way that we've, we've kind of talked about internally is it's like people are using Bolt to go from like 0.0 to 1.0, like that's like kind of the biggest unlock that Bolt has versus most other things out there. I mean, I think that's kind of what's, what's very unique about Bolt. I think the, you know, the working on like existing enterprise applications is, I mean, it's crazy important because, you know, there's a, you look, when you look at the fortune 500, I mean, these code bases, some of these have been around for 20, 30 plus years. And so it's important to be going from, you know, 101.3 to 101.4, et cetera. I think for us, so what's been actually pretty interesting is we see there's kind of two different users for us that are coming in and it's very distinct. It's like people that are developers already. And then there's people that have never really written software and more if they have, it's been very, very minimal. And so in the first camp, what these developers are doing, like to go from zero to one, they're coming to Bolt and then they're ejecting the thing to get up or just downloading it and, you know, opening cursor, like whatever to, to, you know, keep iterating on the thing. And sometimes they'll bring it back to Bolt to like add in a huge piece of functionality or something. Right. But for the people that don't know how to code, they're actually just, they, they live in this thing. And that was one of the weird things when we launched is, you know, within a day of us being online, one of the most popular YouTube videos, and there's been a ton since, which was, you know, there's like, oh, Bolt is the cursor killer. And I originally saw the headlines and I was like, thanks for the views. I mean, I don't know. This doesn't make sense to me. That's not, that's not what we kind of thought.Swyx [00:09:44]: It's how YouTubers talk to each other. Well, everything kills everything else.Eric [00:09:47]: Totally. But what blew my mind was that there was any comparison because it's like cursor is a, is a local IDE product. But when, when we actually kind of dug into it and we, and we have people that are using our product saying this, I'm not using cursor. And I was like, what? And it turns out there are hundreds of thousands of people that we have seen that we're using cursor and we're trying to build apps with that where they're not traditional software does, but we're heavily leaning on the AI. And as you can imagine, it is very complicated, right? To do that with cursor. So when Bolt came out, they're like, wow, this thing's amazing because it kind of inverts the complexity where it's like, you know, it's not an IDE, it's, it's a, it's a chat-based sort of interface that we have. So that's kind of the split, which is rather interesting. We've had like the first startups now launch off of Bolt entirely where this, you know, tomorrow I'm doing a live stream with this guy named Paul, who he's built an entire CRM using this thing and you know, with backend, et cetera. And people have made their first money on the internet period, you know, launching this with Stripe or whatever have you. So that's, that's kind of the two main, the two main categories of folks that we see using Bolt though.Itamar [00:10:51]: I agree that I don't understand the comparison. It doesn't make sense to me. I think like we have like two type of families of tools. One is like we re-imagine the software development. I think Bolt is there and I think like a cursor is more like a evolution of what we already have. It's like taking the IDE and it's, it's amazing and it's okay, let's, let's adapt the IDE to an era where LLMs can do a lot for us. And Bolt is more like, okay, let's rethink everything totally. And I think we see a few tools there, like maybe Vercel, Veo and maybe Repl.it in that area. And then in the area of let's expedite, let's change, let's, let's progress with what we already have. You can see Cursor and Kodo, but we're different between ourselves, Cursor and Kodo, but definitely I think that comparison doesn't make sense.Alessio [00:11:42]: And just to set the context, this is not a Twitter demo. You've made 4 million of revenue in four weeks. So this is, this is actually working, you know, it's not a, what, what do you think that is? Like, there's been so many people demoing coding agents on Twitter and then it doesn't really work. And then you guys were just like, here you go, it's live, go use it, pay us for it. You know, is there anything in the development that was like interesting and maybe how that compares to building your own agents?Eric [00:12:08]: We had no idea, honestly, like we, we, we've been pretty blown away and, and things have just kind of continued to grow faster since then. We're like, oh, today is week six. So I, I kind of came back to the point you just made, right, where it's, you, you kind of outlined, it's like, there's kind of this new market of like kind of rethinking the software development and then there's heavily augmenting existing developers. I think that, you know, both of which are, you know, AI code gen being extremely good, it's allowed existing developers, it's allowing existing developers to camera out software far faster than they could have ever before, right? It's like the ultimate power tool for an existing developer. But this code gen stuff is now so good. And then, and we saw this over the past, you know, from the beginning of the year when we tried to first build, it's actually lowered the barrier to people that, that aren't traditionally software engineers. But the kind of the key thing is if you kind of think about it from, imagine you've never written software before, right? My co-founder and I, he and I grew up down the street from each other in Chicago. We learned how to code when we were 13 together and we've been building stuff ever since. And this is back in like the mid 2000s or whatever, you know, there was nothing for free to learn from online on the internet and how to code. For our 13th birthdays, we asked our parents for, you know, O'Reilly books cause you couldn't get this at the library, right? And so instead of like an Xbox, we got, you know, programming books. But the hardest part for everyone learning to code is getting an environment set up locally, you know? And so when we built StackBlitz, like kind of the key thesis, like seven years ago, the insight we had was that, Hey, it seems like the browser has a lot of new APIs like WebAssembly and service workers, et cetera, where you could actually write an operating system that ran inside the browser that could boot in milliseconds. And you, you know, basically there's this missing capability of the web. Like the web should be able to build apps for the web, right? You should be able to build the web on the web. Every other platform has that, Visual Studio for Windows, Xcode for Mac. The web has no built in primitive for this. And so just like our built in kind of like nerd instinct on this was like, that seems like a huge hole and it's, you know, it will be very valuable or like, you know, very valuable problem to solve. So if you want to set up that environments, you know, this is what we spent the past seven years doing. And the reality is existing developers have running locally. They already know how to set up that environment. So the problem isn't as acute for them. When we put Bolt online, we took that technology called WebContainer and married it with these, you know, state of the art frontier models. And the people that have the most pain with getting stuff set up locally is people that don't code. I think that's been, you know, really the big explosive reason is no one else has been trying to make dev environments work inside of a browser tab, you know, for the past if since ever, other than basically our company, largely because there wasn't an immediate demand or need. So I think we kind of find ourselves at the right place at the right time. And again, for this market of people that don't know how to write software, you would kind of expect that you should be able to do this without downloading something to your computer in the same way that, hey, I don't have to download Photoshop now to make designs because there's Figma. I don't have to download Word because there's, you know, Google Docs. They're kind of looking at this as that sort of thing, right? Which was kind of the, you know, our impetus and kind of vision from the get-go. But you know, the code gen, the AI code gen stuff that's come out has just been, you know, an order of magnitude multiplier on how magic that is, right? So that's kind of my best distillation of like, what is going on here, you know?Alessio [00:15:21]: And you can deploy too, right?Eric [00:15:22]: Yeah.Alessio [00:15:23]: Yeah.Eric [00:15:24]: And so that's, what's really cool is it's, you know, we have deployment built in with Netlify and this is actually, I think, Sean, you actually built this at Netlify when you were there. Yeah. It's one of the most brilliant integrations actually, because, you know, effectively the API that Sean built, maybe you can speak to it, but like as a provider, we can just effectively give files to Netlify without the user even logging in and they have a live website. And if they want to keep, hold onto it, they can click a link and claim it to their Netlify account. But it basically is just this really magic experience because when you come to Bolt, you say, I want a website. Like my mom, 70, 71 years old, made her first website, you know, on the internet two weeks ago, right? It was about her nursing days.Swyx [00:16:03]: Oh, that's fantastic though. It wouldn't have been made.Eric [00:16:06]: A hundred percent. Cause even in, you know, when we've had a lot of people building personal, like deeply personal stuff, like in the first week we launched this, the sales guy from the East Coast, you know, replied to a tweet of mine and he said, thank you so much for building this to your team. His daughter has a medical condition and so for her to travel, she has to like line up donors or something, you know, so ahead of time. And so he actually used Bolt to make a website to do that, to actually go and send it to folks in the region she was going to travel to ahead of time. I was really touched by it, but I also thought like, why, you know, why didn't he use like Wix or Squarespace? Right? I mean, this is, this is a solved problem, quote unquote, right? And then when I thought, I actually use Squarespace for my, for my, uh, the wedding website for my wife and I, like back in 2021, so I'm familiar, you know, it was, it was faster. I know how to code. I was like, this is faster. Right. And I thought back and I was like, there's a whole interface you have to learn how to use. And it's actually not that simple. There's like a million things you can configure in that thing. When you come to Bolt, there's a, there's a text box. You just say, I need a, I need a wedding website. Here's the date. Here's where it is. And here's a photo of me and my wife, put it somewhere relevant. It's actually the simplest way. And that's what my, when my mom came, she said, uh, I'm Pat Simons. I was a nurse in the seventies, you know, and like, here's the things I did and a website came out. So coming back to why is this such a, I think, why are we seeing this sort of growth? It's, this is the simplest interface I think maybe ever created to actually build it, a deploy a website. And then that website, my mom made, she's like, okay, this looks great. And there's, there's one button, you just click it, deploy, and it's live and you can buy a domain name, attach it to it. And you know, it's as simple as it gets, it's getting even simpler with some of the stuff we're working on. But anyways, so that's, it's, it's, uh, it's been really interesting to see some of the usage like that.Swyx [00:17:46]: I can offer my perspective. So I, you know, I probably should have disclosed a little bit that, uh, I'm a, uh, stack list investor.Alessio [00:17:53]: Canceled the episode. I know, I know. Don't play it now. Pause.Eric actually reached out to ShowMeBolt before the launch. And we, you know, we talked a lot about, like, the framing of, of what we're going to talk about how we marketed the thing, but also, like, what we're So that's what Bolt was going to need, like a whole sort of infrastructure.swyx: Netlify, I was a maintainer but I won't take claim for the anonymous upload. That's actually the origin story of Netlify. We can have Matt Billman talk about it, but that was [00:18:00] how Netlify started. You could drag and drop your zip file or folder from your desktop onto a website, it would have a live URL with no sign in.swyx: And so that was the origin story of Netlify. And it just persists to today. And it's just like it's really nice, interesting that both Bolt and CognitionDevIn and a bunch of other sort of agent type startups, they all use Netlify to deploy because of this one feature. They don't really care about the other features.swyx: But, but just because it's easy for computers to use and talk to it, like if you build an interface for computers specifically, that it's easy for them to Navigate, then they will be used in agents. And I think that's a learning that a lot of developer tools companies are having. That's my bolt launch story and now if I say all that stuff.swyx: And I just wanted to come back to, like, the Webcontainers things, right? Like, I think you put a lot of weight on the technical modes. I think you also are just like, very good at product. So you've, you've like, built a better agent than a lot of people, the rest of us, including myself, who have tried to build these things, and we didn't get as far as you did.swyx: Don't shortchange yourself on products. But I think specifically [00:19:00] on, on infra, on like the sandboxing, like this is a thing that people really want. Alessio has Bax E2B, which we'll have on at some point, talking about like the sort of the server full side. But yours is, you know, inside of the browser, serverless.swyx: It doesn't cost you anything to serve one person versus a million people. It doesn't, doesn't cost you anything. I think that's interesting. I think in theory, we should be able to like run tests because you can run the full backend. Like, you can run Git, you can run Node, you can run maybe Python someday.swyx: We talked about this. But ideally, you should be able to have a fully gentic loop, running code, seeing the errors, correcting code, and just kind of self healing, right? Like, I mean, isn't that the dream?Eric: Totally.swyx: Yeah,Eric: totally. At least in bold, we've got, we've got a good amount of that today. I mean, there's a lot more for us to do, but one of the nice things, because like in web container, you know, there's a lot of kind of stuff you go Google like, you know, turn docker container into wasm.Eric: You'll find a lot of stuff out there that will do that. The problem is it's very big, it's slow, and that ruins the experience. And so what we ended up doing is just writing an operating system from [00:20:00] scratch that was just purpose built to, you know, run in a browser tab. And the reason being is, you know, Docker 2 awesome things will give you an image that's like out 60 to 100 megabits, you know, maybe more, you know, and our, our OS, you know, kind of clocks in, I think, I think we're in like a, maybe, maybe a megabyte or less or something like that.Eric: I mean, it's, it's, you know, really, really, you know, stripped down.swyx: This is basically the task involved is I understand that it's. Mapping every single, single Linux call to some kind of web, web assembly implementation,Eric: but more or less, and, and then there's a lot of things actually, like when you're looking at a dev environment, there's a lot of things that you don't need that a traditional OS is gonna have, right?Eric: Like, you know audio drivers or you like, there's just like, there's just tons of things. Oh, yeah. Right. Yeah. That goes . Yeah. You can just kind, you can, you can kind of tos them. Or alternatively, what you can do is you can actually be the nice thing. And this is, this kind of comes back to the origins of browsers, which is, you know, they're, they're at the beginning of the web and, you know, the late nineties, there was two very different kind of visions for the web where Alan Kay vehemently [00:21:00] disagree with the idea that should be document based, which is, you know, Tim Berners Lee, you know, that, and that's kind of what ended up winning, winning was this document based kind of browsing documents on the web thing.Eric: Alan Kay, he's got this like very famous quote where he said, you know, you want web browsers to be mini operating systems. They should download little mini binaries and execute with like a little mini virtualized operating system in there. And what's kind of interesting about the history, not to geek out on this aspect, what's kind of interesting about the history is both of those folks ended up being right.Eric: Documents were actually the pragmatic way that the web worked. Was, you know, became the most ubiquitous platform in the world to the degree now that this is why WebAssembly has been invented is that we're doing, we need to do more low level things in a browser, same thing with WebGPU, et cetera. And so all these APIs, you know, to build an operating system came to the browser.Eric: And that was actually the realization we had in 2017 was, holy heck, like you can actually, you know, service workers, which were designed for allowing your app to work offline. That was the kind of the key one where it was like, wait a second, you can actually now run. Web servers within a [00:22:00] browser, like you can run a server that you open up.Eric: That's wild. Like full Node. js. Full Node. js. Like that capability. Like, I can have a URL that's programmatically controlled. By a web application itself, boom. Like the web can build the web. The primitive is there. Everyone at the time, like we talked to people that like worked on, you know Chrome and V8 and they were like, uhhhh.Eric: You know, like I don't know. But it's one of those things you just kind of have to go do it to find out. So we spent a couple of years, you know, working on it and yeah. And, and, and got to work in back in 2021 is when we kind of put the first like data of web container online. Butswyx: in partnership with Google, right?swyx: Like Google actually had to help you get over the finish line with stuff.Eric: A hundred percent, because well, you know, over the years of when we were doing the R and D on the thing. Kind of the biggest challenge, the two ways that you can kind of test how powerful and capable a platform are, the two types of applications are one, video games, right, because they're just very compute intensive, a lot of calculations that have to happen, right?Eric: The second one are IDEs, because you're talking about actually virtualizing the actual [00:23:00] runtime environment you are in to actually build apps on top of it, which requires sophisticated capabilities, a lot of access to data. You know, a good amount of compute power, right, to effectively, you know, building app in app sort of thing.Eric: So those, those are the stress tests. So if your platform is missing stuff, those are the things where you find out. Those are, those are the people building games and IDEs. They're the ones filing bugs on operating system level stuff. And for us, browser level stuff.Eric [00:23:47]: yeah, what ended up happening is we were just hammering, you know, the Chromium bug tracker, and they're like, who are these guys? Yeah. And, and they were amazing because I mean, just making Chrome DevTools be able to debug, I mean, it's, it's not, it wasn't originally built right for debugging an operating system, right? They've been phenomenal working with us and just kind of really pushing the limits, but that it's a rising tide that's kind of lifted all boats because now there's a lot of different types of applications that you can debug with Chrome Dev Tools that are running a browser that runs more reliably because just the stress testing that, that we and, you know, games that are coming to the web are kind of pushing as well, but.Itamar [00:24:23]: That's awesome. About the testing, I think like most, let's say coding assistant from different kinds will need this loop of testing. And even I would add code review to some, to some extent that you mentioned. How is testing different from code review? Code review could be, for example, PR review, like a code review that is done at the point of when you want to merge branches. But I would say that code review, for example, checks best practices, maintainability, and so on. It's not just like CI, but more than CI. And testing is like a more like checking functionality, et cetera. So it's different. We call, by the way, all of these together code integrity, but that's a different story. Just to go back to the, to the testing and specifically. Yeah. It's, it's, it's since the first slide. Yeah. We're consistent. So if we go back to the testing, I think like, it's not surprising that for us testing is important and for Bolt it's testing important, but I want to shed some light on a different perspective of it. Like let's think about autonomous driving. Those startups that are doing autonomous driving for highway and autonomous driving for the city. And I think like we saw the autonomous of the highway much faster and reaching to a level, I don't know, four or so much faster than those in the city. Now, in both cases, you need testing and quote unquote testing, you know, verifying validation that you're doing the right thing on the road and you're reading and et cetera. But it's probably like so different in the city that it could be like actually different technology. And I claim that we're seeing something similar here. So when you're building the next Wix, and if I was them, I was like looking at you and being a bit scared. That's what you're disrupting, what you just said. Then basically, I would say that, for example, the UX UI is freaking important. And because you're you're more aiming for the end user. In this case, maybe it's an end user that doesn't know how to develop for developers. It's also important. But let alone those that do not know to develop, they need a slick UI UX. And I think like that's one reason, for example, I think Cursor have like really good technology. I don't know the underlying what's under the hood, but at least what they're saying. But I think also their UX UI is great. It's a lot because they did their own ID. While if you're aiming for the city AI, suddenly like there's a lot of testing and code review technology that it's not necessarily like that important. For example, let's talk about integration tests. Probably like a lot of what you're building involved at the moment is isolated applications. Maybe the vision or the end game is maybe like having one solution for everything. It could be that eventually the highway companies will go into the city and the other way around. But at the beginning, there is a difference. And integration tests are a good example. I guess they're a bit less important. And when you think about enterprise software, they're really important. So to recap, like I think like the idea of looping and verifying your test and verifying your code in different ways, testing or code review, et cetera, seems to be important in the highway AI and the city AI, but in different ways and different like critical for the city, even more and more variety. Actually, I was looking to ask you like what kind of loops you guys are doing. For example, when I'm using Bolt and I'm enjoying it a lot, then I do see like sometimes you're trying to catch the errors and fix them. And also, I noticed that you're breaking down tasks into smaller ones and then et cetera, which is already a common notion for a year ago. But it seems like you're doing it really well. So if you're willing to share anything about it.Eric [00:28:07]: Yeah, yeah. I realized I never actually hit the punchline of what I was saying before. I mentioned the point about us kind of writing an operating system from scratch because what ended up being important about that is that to your point, it's actually a very, like compared to like a, you know, if you're like running cursor on anyone's machine, you kind of don't know what you're dealing with, with the OS you're running on. There could be an error happens. It could be like a million different things, right? There could be some config. There could be, it could be God knows what, right? The thing with WebConnect is because we wrote the entire thing from scratch. It's actually a unified image basically. And we can instrument it at any level that we think is going to be useful, which is exactly what we did when we started building Bolt is we instrumented stuff at like the process level, at the runtime level, you know, et cetera, et cetera, et cetera. Stuff that would just be not impossible to do on local, but to do that in a way that works across any operating system, whatever is, I mean, would just be insanely, you know, insanely difficult to do right and reliably. And that's what you saw when you've used Bolt is that when an error actually will occur, whether it's in the build process or the actual web application itself is failing or anything kind of in between, you can actually capture those errors. And today it's a very primitive way of how we've implemented it largely because the product just didn't exist 90 days ago. So we're like, we got some work ahead of us and we got to hire some more a little bit, but basically we present and we say, Hey, this is, here's kind of the things that went wrong. There's a fix it button and then a ignore button, and then you can just hit fix it. And then we take all that telemetry through our agent, you run it through our agent and say, kind of, here's the state of the application. Here's kind of the errors that we got from Node.js or the browser or whatever, and like dah, dah, dah, dah. And it can take a crack at actually solving it. And it's actually pretty darn good at being able to do that. That's kind of been a, you know, closing the loop and having it be a reliable kind of base has seemed to be a pretty big upgrade over doing stuff locally, just because I think that's a pretty key ingredient of it. And yeah, I think breaking things down into smaller tasks, like that's, that's kind of a key part of our agent. I think like Claude did a really good job with artifacts. I think, you know, us and kind of everyone else has, has kind of taken their approach of like actually breaking out certain tasks in a certain order into, you know, kind of a concrete way. And, and so actually the core of Bolt, I know we actually made open source. So you can actually go and check out like the system prompts and et cetera, and you can run it locally and whatever have you. So anyone that's interested in this stuff, I'd highly recommend taking a look at. There's not a lot of like stuff that's like open source in this realm. It's, that was one of the fun things that we've we thought would be cool to do. And people, people seem to like it. I mean, there's a lot of forks and people adding different models and stuff. So it's been cool to see.Swyx [00:30:41]: Yeah. I'm happy to add, I added real-time voice for my opening day demo and it was really fun to hack with. So thank you for doing that. Yeah. Thank you. I'm going to steal your code.Eric [00:30:52]: Because I want that.Swyx [00:30:52]: It's funny because I built on top of the fork of Bolt.new that already has the multi LLM thing. And so you just told me you're going to merge that in. So then you're going to merge two layers of forks down into this thing. So it'll be fun.Eric [00:31:03]: Heck yeah.Alessio [00:31:04]: Just to touch on like the environment, Itamar, you maybe go into the most complicated environments that even the people that work there don't know how to run. How much of an impact does that have on your performance? Like, you know, it's most of the work you're doing actually figuring out environment and like the libraries, because I'm sure they're using outdated version of languages, they're using outdated libraries, they're using forks that have not been on the public internet before. How much of the work that you're doing is like there versus like at the LLM level?Itamar [00:31:32]: One of the reasons I was asking about, you know, what are the steps to break things down, because it really matters. Like, what's the tech stack? How complicated the software is? It's hard to figure it out when you're dealing with the real world, any environment of enterprise as a city, when I'm like, while maybe sometimes like, I think you do enable like in Bolt, like to install stuff, but it's quite a like controlled environment. And that's a good thing to do, because then you narrow down and it's easier to make things work. So definitely, there are two dimensions, I think, actually spaces. One is the fact just like installing our software without yet like doing anything, making it work, just installing it because we work with enterprise and Fortune 500, etc. Many of them want on prem solution.Swyx [00:32:22]: So you have how many deployment options?Itamar [00:32:24]: Basically, we had, we did a metric metrics, say 96 options, because, you know, they're different dimensions. Like, for example, one dimension, we connect to your code management system to your Git. So are you having like GitHub, GitLab? Subversion? Is it like on cloud or deployed on prem? Just an example. Which model agree to use its APIs or ours? Like we have our Is it TestGPT? Yeah, when we started with TestGPT, it was a huge mistake name. It was cool back then, but I don't think it's a good idea to name a model after someone else's model. Anyway, that's my opinion. So we gotSwyx [00:33:02]: I'm interested in these learnings, like things that you change your mind on.Itamar [00:33:06]: Eventually, when you're building a company, you're building a brand and you want to create your own brand. By the way, when I thought about Bolt.new, I also thought about if it's not a problem, because when I think about Bolt, I do think about like a couple of companies that are already called this way.Swyx [00:33:19]: Curse companies. You could call it Codium just to...Itamar [00:33:24]: Okay, thank you. Touche. Touche.Eric [00:33:27]: Yeah, you got to imagine the board meeting before we launched Bolt, one of our investors, you can imagine they're like, are you sure? Because from the investment side, it's kind of a famous, very notorious Bolt. And they're like, are you sure you want to go with that name? Oh, yeah. Yeah, absolutely.Itamar [00:33:43]: At this point, we have actually four models. There is a model for autocomplete. There's a model for the chat. There is a model dedicated for more for code review. And there is a model that is for code embedding. Actually, you might notice that there isn't a good code embedding model out there. Can you name one? Like dedicated for code?Swyx [00:34:04]: There's code indexing, and then you can do sort of like the hide for code. And then you can embed the descriptions of the code.Itamar [00:34:12]: Yeah, but you do see a lot of type of models that are dedicated for embedding and for different spaces, different fields, etc. And I'm not aware. And I know that if you go to the bedrock, try to find like there's a few code embedding models, but none of them are specialized for code.Swyx [00:34:31]: Is there a benchmark that you would tell us to pay attention to?Itamar [00:34:34]: Yeah, so it's coming. Wait for that. Anyway, we have our models. And just to go back to the 96 option of deployment. So I'm closing the brackets for us. So one is like dimensional, like what Git deployment you have, like what models do you agree to use? Dotter could be like if it's air-gapped completely, or you want VPC, and then you have Azure, GCP, and AWS, which is different. Do you use Kubernetes or do not? Because we want to exploit that. There are companies that do not do that, etc. I guess you know what I mean. So that's one thing. And considering that we are dealing with one of all four enterprises, we needed to deal with that. So you asked me about how complicated it is to solve that complex code. I said, it's just a deployment part. And then now to the software, we see a lot of different challenges. For example, some companies, they did actually a good job to build a lot of microservices. Let's not get to if it's good or not, but let's first assume that it is a good thing. A lot of microservices, each one of them has their own repo. And now you have tens of thousands of repos. And you as a developer want to develop something. And I remember me coming to a corporate for the first time. I don't know where to look at, like where to find things. So just doing a good indexing for that is like a challenge. And moreover, the regular indexing, the one that you can find, we wrote a few blogs on that. By the way, we also have some open source, different than yours, but actually three and growing. Then it doesn't work. You need to let the tech leads and the companies influence your indexing. For example, Mark with different repos with different colors. This is a high quality repo. This is a lower quality repo. This is a repo that we want to deprecate. This is a repo we want to grow, etc. And let that be part of your indexing. And only then things actually work for enterprise and they don't get to a fatigue of, oh, this is awesome. Oh, but I'm starting, it's annoying me. I think Copilot is an amazing tool, but I'm quoting others, meaning GitHub Copilot, that they see not so good retention of GitHub Copilot and enterprise. Ooh, spicy. Yeah. I saw snapshots of people and we have customers that are Copilot users as well. And also I saw research, some of them is public by the way, between 38 to 50% retention for users using Copilot and enterprise. So it's not so good. By the way, I don't think it's that bad, but it's not so good. So I think that's a reason because, yeah, it helps you auto-complete, but then, and especially if you're working on your repo alone, but if it's need that context of remote repos that you're code-based, that's hard. So to make things work, there's a lot of work on that, like giving the controllability for the tech leads, for the developer platform or developer experience department in the organization to influence how things are working. A short example, because if you have like really old legacy code, probably some of it is not so good anymore. If you just fine tune on these code base, then there is a bias to repeat those mistakes or old practices, etc. So you need, for example, as I mentioned, to influence that. For example, in Coda, you can have a markdown of best practices by the tech leads and Coda will include that and relate to that and will not offer suggestions that are not according to the best practices, just as an example. So that's just a short list of things that you need to do in order to deal with, like you mentioned, the 100.1 to 100.2 version of software. I just want to say what you're doing is extremelyEric [00:38:32]: impressive because it's very difficult. I mean, the business of Stackplus, kind of before bulk came online, we sold a version of our IDE that went on-prem. So I understand what you're saying about the difficulty of getting stuff just working on-prem. Holy heck. I mean, that is extremely hard. I guess the question I have for you is, I mean, we were just doing that with kind of Kubernetes-based stuff, but the spread of Fortune 500 companies that you're working with, how are they doing the inference for this? Are you kind of plugging into Azure's OpenAI stuff and AWS's Bedrock, you know, Cloud stuff? Or are they just like running stuff on GPUs? Like, what is that? How are these folks approaching that? Because, man, what we saw on the enterprise side, I mean, I got to imagine that that's a huge challenge. Everything you said and more, like,Itamar [00:39:15]: for example, like someone could be, and I don't think any of these is bad. Like, they made their decision. Like, for example, some people, they're, I want only AWS and VPC on AWS, no matter what. And then they, some of them, like there is a subset, I will say, I'm willing to take models only for from Bedrock and not ours. And we have a problem because there is no good code embedding model on Bedrock. And that's part of what we're doing now with AWS to solve that. We solve it in a different way. But if you are willing to run on AWS VPC, but run your run models on GPUs or inferentia, like the new version of the more coming out, then our models can run on that. But everything you said is right. Like, we see like on-prem deployment where they have their own GPUs. We see Azure where you're using OpenAI Azure. We see cases where you're running on GCP and they want OpenAI. Like this cross, like a case, although there is Gemini or even Sonnet, I think is available on GCP, just an example. So all the options, that's part of the challenge. I admit that we thought about it, but it was even more complicated. And it took us a few months to actually, that metrics that I mentioned, to start clicking each one of the blocks there. A few months is impressive. I mean,Eric [00:40:35]: honestly, just that's okay. Every one of these enterprises is, their networking is different. Just everything's different. Every single one is different. I see you understand. Yeah. So that just cannot be understated. That it is, that's extremely impressive. Hats off.Itamar [00:40:50]: It could be, by the way, like, for example, oh, we're only AWS, but our GitHub enterprise is on-prem. Oh, we forgot. So we need like a private link or whatever, like every time like that. It's not, and you do need to think about it if you want to work with an enterprise. And it's important. Like I understand like their, I respect their point of view.Swyx [00:41:10]: And this primarily impacts your architecture, your tech choices. Like you have to, you can't choose some vendors because...Itamar [00:41:15]: Yeah, definitely. To be frank, it makes us hard for a startup because it means that we want, we want everyone to enjoy all the variety of models. By the way, it was hard for us with our technology. I want to open a bracket, like a window. I guess you're familiar with our Alpha Codium, which is an open source.Eric [00:41:33]: We got to go over that. Yeah. So I'll do that quickly.Itamar [00:41:36]: Yeah. A pin in that. Yeah. Actually, we didn't have it in the last episode. So, so, okay.Swyx [00:41:41]: Okay. We'll come back to that later, but let's talk about...Itamar [00:41:43]: Yeah. So, so just like shortly, and then we can double click on Alpha Codium. But Alpha Codium is a open source tool. You can go and try it and lets you compete on CodeForce. This is a website and a competition and actually reach a master level level, like 95% with a click of a button. You don't need to do anything. And part of what we did there is taking a problem and breaking it to different, like smaller blocks. And then the models are doing a much better job. Like we all know it by now that taking small tasks and solving them, by the way, even O1, which is supposed to be able to do system two thinking like Greg from OpenAI like hinted, is doing better on these kinds of problems. But still, it's very useful to break it down for O1, despite O1 being able to think by itself. And that's what we presented like just a month ago, OpenAI released that now they are doing 93 percentile with O1 IOI left and International Olympiad of Formation. Sorry, I forgot. Exactly. I told you I forgot. And we took their O1 preview with Alpha Codium and did better. Like it just shows like, and there is a big difference between the preview and the IOI. It shows like that these models are not still system two thinkers, and there is a big difference. So maybe they're not complete system two. Yeah, they need some guidance. I call them system 1.5. We can, we can have it. I thought about it. Like, you know, I care about this philosophy stuff. And I think like we didn't see it even close to a system two thinking. I can elaborate later. But closing the brackets, like we take Alpha Codium and as our principle of thinking, we take tasks and break them down to smaller tasks. And then we want to exploit the best model to solve them. So I want to enable anyone to enjoy O1 and SONET and Gemini 1.5, etc. But at the same time, I need to develop my own models as well, because some of the Fortune 500 want to have all air gapped or whatever. So that's a challenge. Now you need to support so many models. And to some extent, I would say that the flow engineering, the breaking down to two different blocks is a necessity for us. Why? Because when you take a big block, a big problem, you need a very different prompt for each one of the models to actually work. But when you take a big problem and break it into small tasks, we can talk how we do that, then the prompt matters less. What I want to say, like all this, like as a startup trying to do different deployment, getting all the juice that you can get from models, etc. is a big problem. And one need to think about it. And one of our mitigation is that process of taking tasks and breaking them down. That's why I'm really interested to know how you guys are doing it. And part of what we do is also open source. So you can see.Swyx [00:44:39]: There's a lot in there. But yeah, flow over prompt. I do believe that that does make sense. I feel like there's a lot that both of you can sort of exchange notes on breaking down problems. And I just want you guys to just go for it. This is fun to watch.Eric [00:44:55]: Yeah. I mean, what's super interesting is the context you're working in is, because for us too with Bolt, we've started thinking because our kind of existing business line was going behind the firewall, right? We were like, how do we do this? Adding the inference aspect on, we're like, okay, how does... Because I mean, there's not a lot of prior art, right? I mean, this is all new. This is all new. So I definitely am going to have a lot of questions for you.Itamar [00:45:17]: I'm here. We're very open, by the way. We have a paper on a blog or like whatever.Swyx [00:45:22]: The Alphacodeum, GitHub, and we'll put all this in the show notes.Itamar [00:45:25]: Yeah. And even the new results of O1, we published it.Eric [00:45:29]: I love that. And I also just, I think spiritually, I like your approach of being transparent. Because I think there's a lot of hype-ium around AI stuff. And a lot of it is, it's just like, you have these companies that are just kind of keep their stuff closed source and then just max hype it, but then it's kind of nothing. And I think it kind of gives a bad rep to the incredible stuff that's actually happening here. And so I think it's stuff like what you're doing where, I mean, true merit and you're cracking open actual code for others to learn from and use. That strikes me as the right approach. And it's great to hear that you're making such incredible progress.Itamar [00:46:02]: I have something to share about the open source. Most of our tools are, we have an open source version and then a premium pro version. But it's not an easy decision to do that. I actually wanted to ask you about your strategy, but I think in your case, there is, in my opinion, relatively a good strategy where a lot of parts of open source, but then you have the deployment and the environment, which is not right if I get it correctly. And then there's a clear, almost hugging face model. Yeah, you can do that, but why should you try to deploy it yourself, deploy it with us? But in our case, and I'm not sure you're not going to hit also some competitors, and I guess you are. I wanted to ask you, for example, on some of them. In our case, one day we looked on one of our competitors that is doing code review. We're a platform. We have the code review, the testing, et cetera, spread over the ID to get. And in each agent, we have a few startups or a big incumbents that are doing only that. So we noticed one of our competitors having not only a very similar UI of our open source, but actually even our typo. And you sit there and you're kind of like, yeah, we're not that good. We don't use enough Grammarly or whatever. And we had a couple of these and we saw it there. And then it's a challenge. And I want to ask you, Bald is doing so well, and then you open source it. So I think I know what my answer was. I gave it before, but still interestingEric [00:47:29]: to hear what you think. GeoHot said back, I don't know who he was up to at this exact moment, but I think on comma AI, all that stuff's open source. And someone had asked him, why is this open source? And he's like, if you're not actually confident that you can go and crush it and build the best thing, then yeah, you should probably keep your stuff closed source. He said something akin to that. I'm probably kind of butchering it, but I thought it was kind of a really good point. And that's not to say that you should just open source everything, because for obvious reasons, there's kind of strategic things you have to kind of take in mind. But I actually think a pretty liberal approach, as liberal as you kind of can be, it can really make a lot of sense. Because that is so validating that one of your competitors is taking your stuff and they're like, yeah, let's just kind of tweak the styles. I mean, clearly, right? I think it's kind of healthy because it keeps, I'm sure back at HQ that day when you saw that, you're like, oh, all right, well, we have to grind even harder to make sure we stay ahead. And so I think it's actually a very useful, motivating thing for the teams. Because you might feel this period of comfort. I think a lot of companies will have this period of comfort where they're not feeling the competition and one day they get disrupted. So kind of putting stuff out there and letting people push it forces you to face reality soon, right? And actually feel that incrementally so you can kind of adjust course. And that's for us, the open source version of Bolt has had a lot of features people have been begging us for, like persisting chat messages and checkpoints and stuff. Within the first week, that stuff was landed in the open source versions. And they're like, why can't you ship this? It's in the open, so people have forked it. And we're like, we're trying to keep our servers and GPUs online. But it's been great because the folks in the community did a great job, kept us on our toes. And we've got to know most of these folks too at this point that have been building these things. And so it actually was very instructive. Like, okay, well, if we're going to go kind of land this, there's some UX patterns we can kind of look at and the code is open source to this stuff. What's great about these, what's not. So anyways, NetNet, I think it's awesome. I think from a competitive point of view for us, I think in particular, what's interesting is the core technology of WebContainer going. And I think that right now, there's really nothing that's kind of on par with that. And we also, we have a business of, because WebContainer runs in your browser, but to make it work, you have to install stuff from NPM. You have to make cores bypass requests, like connected databases, which all require server-side proxying or acceleration. And so we actually sell WebContainer as a service. One of the core reasons we open-sourced kind of the core components of Bolt when we launched was that we think that there's going to be a lot more of these AI, in-your-browser AI co-gen experiences, kind of like what Anthropic did with Artifacts and Clod. By the way, Artifacts uses WebContainers. Not yet. No, yeah. Should I strike that? I think that they've got their own thing at the moment, but there's been a lot of interest in WebContainers from folks doing things in that sort of realm and in the AI labs and startups and everything in between. So I think there'll be, I imagine, over the coming months, there'll be lots of things being announced to folks kind of adopting it. But yeah, I think effectively...Swyx [00:50:35]: Okay, I'll say this. If you're a large model lab and you want to build sandbox environments inside of your chat app, you should call Eric.Itamar [00:50:43]: But wait, wait, wait, wait, wait, wait. I have a question about that. I think OpenAI, they felt that people are not using their model as they would want to. So they built ChatGPT. But I would say that ChatGPT now defines OpenAI. I know they're doing a lot of business from their APIs, but still, is this how you think? Isn't Bolt.new your business now? Why don't you focus on that instead of the...Swyx [00:51:16]: What's your advice as a founder?Eric [00:51:18]: You're right. And so going into it, we, candidly, we were like, Bolt.new, this thing is super cool. We think people are stoked. We think people will be stoked. But we were like, maybe that's allowed. Best case scenario, after month one, we'd be mind blown if we added a couple hundred K of error or something. And we were like, but we think there's probably going to be an immediate huge business. Because there was some early poll on folks wanting to put WebContainer into their product offerings, kind of similar to what Bolt is doing or whatever. We were actually prepared for the inverse outcome here. But I mean, well, I guess we've seen poll on both. But I mean, what's happened with Bolt, and you're right, it's actually the same strategy as like OpenAI or Anthropic, where we have our ChatGPT to OpenAI's APIs is Bolt to WebContainer. And so we've kind of taken that same approach. And we're seeing, I guess, some of the similar results, except right now, the revenue side is extremely lopsided to Bolt.Itamar [00:52:16]: I think if you ask me what's my advice, I think you have three options. One is to focus on Bolt. The other is to focus on the WebContainer. The third is to raise one billion dollars and do them both. I'm serious. I think otherwise, you need to choose. And if you raise enough money, and I think it's big bucks, because you're going to be chased by competitors. And I think it will be challenging to do both. And maybe you can. I don't know. We do see these numbers right now, raising above $100 million, even without havingEric [00:52:49]: a product. You can see these. It's excellent advice. And I think what's been amazing, but also kind of challenging is we're trying to forecast, okay, well, where are these things going? I mean, in the initial weeks, I think us and all the investors in the company that we're sharing this with, it was like, this is cool. Okay, we added 500k. Wow, that's crazy. Wow, we're at a million now. Most things, you have this kind of the tech crunch launch of initiation and then the thing of sorrow. And if there's going to be a downtrend, it's just not coming yet. Now that we're kind of looking ahead, we're six weeks in. So now we're getting enough confidence in our convictions to go, okay, this se

In this demi-sode, Gwen & Kate discuss the benefits of pushing ourselves out of our comfort zones as Kate tells us about the screening of her documentary about the melting Mer de Glace glacier in the French Alps; Gwen talks about the importance of doing something different to rewire our brains, even if it's little stuff. And Kate tells us about shoulder seasons! Is it winter? Or autumn-winter or spring-winter? Plus listener shoutouts!If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

In this pocket-sized Ep, Gwen & Kate chat about psychogeography aka being an urban wandering flaneur. Gwen shares how to be a flaneur in a car as she takes to the back roads of Wales (mostly) without a map in search of a pub in a bay. Kate has been to see Faithless with a load of other middle aged ravers, and consults the New Yorker re: what our annoying household habits mean about us. Plus listener shoutouts!Support Up All Night, the third instalment in photographer Colin Moody's Bristol book series with The History Press, offering an intimate glimpse into the city after dark. For more info and to support the 'love letter to Bristol's nightlife' kickstarter. If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

In this fun-sized-isode, Gwen & Kate talk about NSDR, a quick way to reduce anxiety – is it magic? Or is it just meditation? Breathwork + the Breath Space app. The signs when it's time to take a break and park the less important tasks. We ponder if behind closed doors Nigella loves bucket of KFC and Gwen demonstrates her partially convincing Northern accent currently across the airwaves oop North. Plus listener shoutouts + upcoming RUMP news!  We also mention the following episodes of Right Up My Podcast:Ep.46 - Breathwork Pt 1EP.33 - Deep WorkIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

There's a seismic change heading our way that will drive up electricity and water usage and it has to do with the uptake of generative AI, including Chat GPT. Giant tech companies are investing in nuclear power for their AI-fuelled race, however data centres also need clean, drinking-quality water. Guests:Ben Geman, energy reporter at Axios.com and the author of the daily Axios Generate newsletter, covering the world of energy business and politics.David Berreby, science writer based in New YorkGordon Noble, Research Director, Institute for Sustainable Futures, University of Technology Sydney

In this weeny-sode, Gwen & Kate talk about how making small decisions today can have massive impacts on our future selves. And we share top tips on how to achieve this (thanks to Gwen's bestie ChatGPT). Kate's reading 'how to break up with your phone', and we chat instant gratification, landline phone roulette, and getting outside in the green. Plus listener shoutouts + special discount codes for RUMP listeners.  If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

0.00:    Embracing the Possibilities of AI 5.00:    Idea of AI to improve efficiency (for better basics) 8.00:    Getting comfortable with Chat GBT and talking to a machine 14.20:  Juggling family, career and a tech startup 16.00:  Morning Routines to win the day 19.00:  Entrepreneurship to solve problems 22.00:  Technology and Children Learn more about Paul: https://paulmatthews.ai/ Until next time, love and good vibes.  Podcast Website: https://enterthelionheart.com/ Check out the latest episode here: Apple Podcast: https://podcasts.apple.com/us/podcast/enter-the-lionheart/id1554904704 Spotify: https://open.spotify.com/show/4tD7VvMUvnOgChoNYShbcI

In this cute button-sized episode, Gwen & Kate chat about Kate's near-death experience on a train just outside Swindon, the horrors of networking, the International Women's Podcast Festival, Deepak Chopra, complimenting strangers, Buddhist's second arrow and the entirely normal feeling of being totally awkward.Other things we refer to: For all things attachment theory, check out Stephanie Rigg's podcastDeepak Chopra's The Seven Spiritual Laws of SuccessOur Ep 51. The Vagus Nerve, changing how we process stress with Melissa Romano.Want a mention in the next RUMPette? Tell us what you do to make yourself feel good, or if you have any topics you'd like us to cover: rightupmypodcast@gmail.comThank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeVoiceover - Dave JonesSocials - Kate BallsIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and it really makes a difference in helping to convince hard-to-get guests. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonBe social with us!InstagramFacebookTikTok

In this episode, Ryan continues his conversation with Robin Daniels, the CMO at Zensai, as they discuss various use cases of AI in human development. The episode delves into how Zensai leverages AI tools like Microsoft Copilot and ChatGPT in their products to enhance learning, performance management, and employee engagement.  Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.   Explore becoming Superhuman here: https://superhumanrevenue.beehiiv.com/ KEY TAKEAWAYS Zensai leverages AI in their products, specifically with Microsoft Copilot and ChatGBT, to enhance learning, performance management, and employee engagement. Zensai strategically focuses on Microsoft technologies for rapid development, distribution, and trust in the industry, rather than building their own AI team. AI helps in creating courses quickly by analyzing documents or videos, reducing the time spent by learning and development teams significantly. AI provides recommendations for managers on how to respond to employee feedback, enhancing communication and problem-solving in the team. Robin uses AI daily for various tasks, such as summarizing documents, analyzing data, and improving efficiency in workflow, showcasing the practical benefits of AI integration. BEST MOMENTS "We are building what we call the 'human success platform', and it's really focused around three core vectors. One is around learning, one is around performance management, and the third one is really around employee engagement." "We've now instituted what we call AI coaching, where the AI can read through that [data] and come up with a couple of recommendations for how I can respond in the best, most human way." "Why do 70% of people want to quit their jobs? Because they don't feel like there's any future in what they're doing. They're not learning, they're not growing, they're not developing, they feel like stuck." Ryan Staley Founder and CEO Whale Boss ryan@whalesellingsystem.com www.ryanstaley.ioSaas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecrets

Join Patreon here, https://patreon.com/Relatables69?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink TIMECODE 0:00 Intro 1:48 Using chat GBT to get girls 6:50 Cheating not cheating 20:50 Have a MacHappy day 24:50 How of you know when she/he is the one

We thought it would be interesting to ask AI some questions to answer for you. The question Erica plugged into ChatGBT was “Common questions Christian women have in today's culture.” I had no idea what to expect but I was honestly shocked and so excited to see the questions it pulled together. There were some hard-hitting questions in this episode, and we'd love to hear your thoughts and opinions. Here are the questions we tackled. “How do Christian women navigate the tension between traditional gender roles and modern expectations in today's society.” “How can Christian woman reconcile their faith with societal pressures related to body image, beauty standards, and self-worth.” “What advice do you have for Christian women who struggle with balancing career aspirations and family responsibilities.” “How can Christian woman find and cultivate a supportive community of like-minded sisters in Christ for encouragement and accountability.”

Collin welcomes back Ryan Staley to discuss specific use cases of AI in sales. They explore how sales leaders can leverage AI to create an entire sales organization in just 20 minutes, as well as using AI for predictive analysis and client segmentation. They emphasize the importance of providing enough context when using AI and how regular use improves the ability to ask specific questions. They also discuss the potential for sales leaders with AI skills to earn higher salaries.Follow the Host:Collin Mitchell (Partner, Leadium)Our Episode Guest:Ryan Staley (Founder and CEO, Whale Boss)Sponsored By:Leadium | The leader in outbound sales appointment setting*If you'd like to be a guest on the show or have any questions, email us at guest@salestransformation.co - Just tell us why you're reaching out and we'll contact you as soon as we can!