Podcasts about zooms

We're featuring the soundtrack from our recent Webinar in this episode If you'd like to see the Webinar slides while you're listening then click here to access Webinar on our You Tube channel During the Webinar:- We focussed a lot on mindset which is so much more powerful than willpower Quitting drinking isn't about deprivation—it's about transformation. We don't have a drinking problem—we have a life-changing opportunity!

What if your purpose isn't just about what you do — but how you love? In today's episode, we're diving into Ephesians 5:1–2 to uncover a purpose we often overlook: walking in the love of Christ. This kind of love isn't limited to people we agree with or those who treat us well — it's a love that mirrors the sacrifice Jesus made for us. We'll explore why loving difficult people is actually central to your calling, what Jesus meant when He said “be perfect as your Father is perfect,” and how imitating God's love changes every conversation, every encounter, and every space you walk into. If you've ever wrestled with what God wants you to do, this episode will reframe everything by showing you who He's calling you to be. Want to go deeper? Join the daily devotional experience through [After God's Heart] — complete with daily episodes, a monthly reading plan, and live Bible study Zooms. Try it free at the link below. https://patreon.com/aftergodsheart Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we explore the idea that leadership isn't about a title—it's about how you show up, the influence you have, and the impact you leave behind. Richard and I break down the difference between charisma and charm. Charm might win a room for a moment, but charisma leaves a lasting impression—it's about creating real, authentic connections that make people feel seen, heard, and better about themselves. Charisma isn't about spotlighting yourself. It's about understanding others—their emotions, their motivations—and helping them see their own potential. That's the kind of leadership people remember. We also talk about how the speed of life and our dependence on technology can dull our human edge. Remote work, packed calendars, and back-to-back Zooms leave little room for reflection or meaningful connection. Richard points out that when every interaction feels transactional, we lose the emotional depth that real leadership requires. The antidote? Be intentional. Create small pauses. Give yourself even a minute between meetings to reset, refocus, and reconnect—not just with others, but with yourself. Charisma isn't just something you're born with—it's something you can build. Richard shares practical steps: Start by setting an intention before every interaction. Ask yourself, What kind of energy do I want to bring into this room? Tune into your emotional state. If you're stressed or scattered, slow your breathing. Ground yourself. Pay attention to how you show up—not just what you say, but how you make people feel. Leadership lives in those quiet transitions—between meetings, before calls, in the spaces where you choose how to respond. We also dig into authenticity and that quiet voice of doubt so many of us wrestle with—imposter syndrome. Richard shares a simple but powerful idea: run small experiments. Share a little more of who you are in low-risk spaces. Let people see the human behind the role. You'll be surprised by how it builds connection—and confidence. We talk about how authenticity isn't weakness. It's your strength. Especially for women in leadership who often navigate the tension between being assertive and being seen as “too much” or “not enough,” authenticity can be a powerful anchor. Practice vulnerability in safe circles. Then bring it into the bigger arenas where it matters most. Leadership also means taking the time to reflect. Richard encourages building a daily rhythm of looking back—not just on what you did, but how it made you feel. What energized you? What drained you? These patterns reveal your values. And once you know what drives you, you can lead with more clarity and purpose. We close the conversation by talking about psychological safety. It's more than a buzzword—it's the foundation for real leadership. If people don't feel safe to speak up, you'll never get their best thinking. As a leader, your job is to create space where people feel they can take risks, share honestly, and show up as themselves. If leadership is about impact, then charisma, authenticity, and reflection are the tools that help you leave a mark that lasts. This episode is about learning how to lead not just with your head, but with your heart.   Connect With Richard:  website: www.richard-reid.com email: richard@pinnaclewellbeingservice.com   Connect with Tim: Website: timstatingtheobvious.com Facebook - https://www.facebook.com/timstatingtheobvious Youtube: https://www.youtube.com/channel/UCHfDcITKUdniO8R3RP0lvdw  Instagram: @TimStating Tiktok: @timstatingtheobvious   #LeadershipDevelopment #Charisma #EmotionalIntelligence #AuthenticLeadership #PsychologicalSafety #CommunicationSkills #RichardBranson #OprahWinfrey #BusinessCoaching #LeadershipPodcast  

In episode 1888, Jack and Miles are joined by journalist and author of Becoming Baba: Fatherhood, Faith, and Finding Meaning in America, Aymann Ismail, to discuss… ZOHRAAAAAANNNN, M3GAN 2.0 Loses Box Office Race to F1, Disney World’s Trump Animatronic No Longer Looks Like A F**ked Up Hilary Clinton and more! Zohran Mamdani says, "I don't think we should have billionaires because frankly it is so much money in a moment of such inequality" N.Y. Senator ‘Misspoke’ When She Falsely Claimed Zohran Mamdani Condoned ‘Global Jihad’ Box Office: ‘F1’ Zooms to $55.6M Opening and $144M Globally, ‘M3GAN 2.0’ Bombs With $10M U.S. Start Disney Updates Donald Trump Animatronic for The Hall of Presidents Following Hillary Clinton Controversy LISTEN: Grind by Les SinsSee omnystudio.com/listener for privacy information.

In today's Tech3 from Moneycontrol, we break down NPCI's massive 42% profit jump and what's driving it, Lenskart's bold IPO strategy to skip confidential DRHP route, and Giva's Rs 530 crore raise to go big on lab-grown diamonds. Plus, we dive into the rise of “beauty fintech”, EMIs for Botox are now a thing! And finally, meet the Indian Air Force pilot who just blasted off to space with SpaceX.

Australia is known for its unusual animal life, from koalas to kangaroos. But once upon a time, the Australian landscape had even weirder fauna, like Palorchestes azael, a marsupial with immense claws and a small trunk. There was Protemnodon mamkurra, a massive, slow-moving, kangaroo-like creature. And Zygomaturus trilobus, a wombat the size of a hippo. They're all extinct now, and researchers are trying to figure out why. Host Flora Lichtman talks with researcher Carli Peters about ZooMS, a technique that allows researchers to use collagen from ancient bone fragments to identify species, offering clues to those ancient extinction events. Peters recently described using the technique in the journal Frontiers in Mammal Science.And, a recent study in the journal Nature Astronomy hints that our own Milky Way galaxy may not be doomed to collide with Andromeda after all. Till Sawala, an astrophysicist at the University of Helsinki, joins Flora to talk about the finding.Guests: Dr. Carli Peters is a postdoctoral researcher at the Interdisciplinary Center for Archaeology and the Evolution of Human Behavior at the University of Algarve in Faro, Portugal.Dr. Till Sawala is an astrophysicist at the University of Helsinki.Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

In the age of virtual communication, here's how to ensure your messages convey what you mean.Texts. Emails. Slacks. Zooms. We're communicating in more ways than ever, but Andrew Brodsky has a word of warning: Your virtual communication might be sending messages you're not aware of.Brodsky is the author of PING: The Secrets of Successful Virtual Communication. And as a professor of management at the University of Texas McCombs School of Business, he researches the impact of technology on workplace communication. “In virtual communication, there's often missing information,” he says. “As recipients of it, we're searching to fill in the gaps. The problem [is] that the recipient who's making these guesses is often guessing incorrectly.” As his research reveals, variables like typos, the time you schedule a meeting, and even your choice of email signature affect how your messages are received — and how you're perceived.In this episode of Think Fast, Talk Smart, host Matt Abrahams and Brodsky explore his PING framework (perspective-taking, initiative, nonverbal awareness, and goals) for mastering digital communication. From understanding when to choose email over a phone call to navigating cameras-on versus cameras-off meetings, he offers practical strategies for ensuring your virtual messages communicate exactly what you intend.To listen to the extended Deep Thinks version of this episode, please visit FasterSmarter.io/premiumEpisode Reference Links:Andrew BrodskyAndrew's Book: PingEp.31 Quick Thinks: How to Shine Online and Excel at Virtual Communication Ep.53 Step Up and Stand Out: How to Create the Right Environment for Communication  Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:34) - What Is Virtual Communication? (03:20) - Choosing the Right Channel for Your Goal (06:05) - The Ping Framework: Secrets to Virtual Communication (10:01) - Understanding Communication Richness (13:03) - Nonverbals in Virtual Communication (16:47) - The Final Three Question (24:37) - Conclusion   ********This Episode is brought to you by Strawberry.me. Get $50 off coaching today at Strawberry.me/smartBecome a Faster Smarter Supporter by joining TFTS Premium.   

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.  

“Whoever runs your schedule is the most important person in your world as Leader. You need time to think, time to study and time to get the things done you came to leadership to do. Lose control of the schedule and you will fail.” That is a quote from former UK Prime Minister Tony Blair. And it strikes at the heart of mastering time management. Today's episode explores why your calendar is your most important productivity tool.  You can subscribe to this podcast on:  Podbean | Apple Podcasts | Stitcher | Spotify | TUNEIN   Links: Email Me | Twitter | Facebook | Website | Linkedin The 2025 Summer Sale  Get Your Copy Of Your Time, Your Way: Time Well Managed, Life Well Lived The Time Sector System 5th Year Anniversary The Working With… Weekly Newsletter Carl Pullein Learning Centre Carl's YouTube Channel Carl Pullein Coaching Programmes Subscribe to my Substack  The Working With… Podcast Previous episodes page Script | 373 Hello, and welcome to episode 373 of the Your Time, Your Way Podcast. A podcast to answer all your questions about productivity, time management, self-development, and goal planning. My name is Carl Pullein, and I am your host of this show. Whoever controls your calendar controls you. They can (and often will) destroy your plans for the day, prevent you from doing your most important work and be the reason you fail in your career goals.  If you are a leader, you will likely have plans for your team. In order to implement those plans and move them to completion, you will need time. It's up to you to find that time.  Top leaders understand this. They are very strict with their calendars. Nobody but themselves has control of it. And, probably the most important factor of all, they have the confidence to cancel appointments if those appointments do not align with their weekly or daily strategic plan.  And yes, it's a confidence thing. Nobody, not even your boss, really has control over your time. You always have the option to negotiate an appointment or say no.  In this week's episode, I will share some ideas you can use to get control of your calendar and have the confidence to negotiate appointments and/or say no. So, let me hand you over to the Mystery Podcast Voice for this week's question.  This week's question comes from Karen. Karen asks, Hi Carl, I lead a team of sixteen people and am struggling to get my work done because my boss and team are always demanding meetings with me. Do you have any tips on protecting time for important work when you don't have control of your calendar? Hi Karen, thank you for your question.  This can appear to be a difficult change to make. Particularly if your team and bosses have become conditioned to you being available whenever they need you.  One of most powerful lessons I learned in my early career was from the so—called “my office door is always open” concept. For those of you not familiar with this concept, it began in the late 80s or early 90s (possibly earlier). This was where bosses used to tell their employees my office door is always open. You can come and talk to me at anytime.  Nice concept. It gave the impression that your boss was approachable. Yet in reality, it was not really a practical way to operate.  It meant that bosses were constantly being interrupted—well, those that we not scary, anyway, The two most productive bosses I had in my early career did follow this policy, yet with one addition. That was to tell us that when their door was closed they were not to be disturbed.  One of those bosses, would close his door every day around 2 pm. He would then use that time to get his most important work done. David, had a secretary, who would hold his calls too. If you needed David between two and four, you had to go through his secretary, Michaela and Michaela protected David's time ruthlessly.  Yet, for the other times in the day, David was available. He'd walk around the office from time to time asking if we were okay. He made himself available.  What happened, was if we needed David for anything, we knew we had to catch him before 2 pm or wait until after 4 pm.  I don't recall anyone complaining. The Managing Partner of the firm respected it. And so did David's clients—he was a partner in the law firm I worked at.  The key to this working was David's consistency. His team, bosses and clients all knew that David would not be available between two and four.  Since then, every productive person I have met, has operated something very similar. They have periods of time in the day where they are not accessible. In that time they are doing their most important work. That period of time is generally at the same time each day.  I remember, once being on a training course and the instructor, told us she would be available at any time after 11:00 am if we had any questions.  That's it. A simple sentence. “Available at anytime after 11:00 am”. I don't recall any one of us on that training course ever trying to contact her before 11:00 am.  Now, it might not be possible for you to cut yourself off from the outside world at the same time each day—although we all do this when we are sleeping and the world doesn't end, does it?  A lot of this depends on the job you do. I've mentioned before in this podcast the best salesperson I've ever worked with, Claire.  Claire would never be available between 9:00 and 10:30 am. It was during this time she was on the phones prospecting and following up customers. That one strategy was the difference between her and every other salesperson in that company. She outsold her nearest colleague two to one most months.  We worked a nine hour day in that sales job, and Claire was unavailable for just ninety minutes. She was in charge of her diary. That still left her with seven-and-a-half hours where she was available.  So, Karen, the place to begin is to ask yourself how much time do you need each day to stay on top of your work?  Given that a managerial role is largely about communicating with a team and bosses, you will likely need to be available most of your working day. Yet, you will still have some individual work to do. So, how much time do you need to complete that work each week?  You will only be able to work with averages. You will not be able to be specific about how much time you need each week. You're human. Sometimes we are on fire and can plough through a lot of work. Other days, we're tired and anything we do is sluggish and slow.  By working with averages, you're still getting work done and when you are on fire you can catch up.  For instance, on average, I need around 14 hours a week to create my content. This means each day I protect two hours for content creation where nobody can interrupt me. I then have an extra hour or so in the afternoons I keep flexible for finishing off any work.  I allow no more than twenty one hours of meetings each week. 90% of the time that is more than enough for the meetings and coaching sessions I have each week.  I know if I allow more than 21 hours, the additional admin cost and lost time for critical work will mean I have to work late nights and Saturday just to catch up. Not something I am prepared to do.  Earlier, I alluded to “negotiating” appointments.  Imagine you're in the market to buy a Rolls Royce car. (I said imagine). If you call the Rolls Royce dealership, you're going to have to negotiate a day and time. The “sales process” for buying a Rolls Royce is not your typical process. It's an experience.  You're not just buying a typical car. These days, you're buying a unique bespoke car. The salesperson you talk with will need time to go through all the panelling options, Exterior colours and interior seat fabrics, and even the type of material you want your dashboard made from.  The person you speak with when making your appointment, will negotiate a time to visit the showroom. That's part of the experience.  Now if you were in the market to buy a Ford, Toyota, Hyundai or VW, and call to make an appointment, you can name your day and time. The salespeople will very likely accept your first day and time.  Now which experience would leave you feeling special?  If you think about your readiness to accept any appointment at any time, what does that say about you?  Negotiating your appointments elevates your status in the mind of the person wishing to make an appointment with you. The harder it is to get an appointment with you, the more likely you will have a favourable outcome. It's the “you must be important if it's difficult to make an appointment with you”. Try getting an appointment with Tim Cook, Sundar Pichai or Satya Nadala. It's not that they don't do appointments, it's just they restrict the number of meetings they are available for each day and the meetings they do attend must count.  So, if you protect 9:30 to 11:00 am each morning, if someone wants to have a meeting with you during that time, you would say could we meet at 11:30 am instead? 9 times out of 10 your suggested time will be accepted. If not, the person wanting to meet you will likely suggest an alternative time.  If you cannot find a suitable time, then you will have to use your protected time. But with this strategy, it will be very rare that you need to do that.  I promise you, if you do this a few times, your confidence will rapidly improve and you will find that your focus time blocks will be protected.  The challenge we all face today is we feel we must be available at all times for whoever wants to communicate with us. If it's not Teams or Zooms calls, it's instant messages and email. The trick is to become less available.  Be like the Rolls Royce salesperson. Make getting an appointment with you part of the experience. If it's a little harder to get an appointment with you, the person you're meeting is going to be much more open to finding a solution with you there and then, instead of scheduling another meeting with you to “sort the details out”.  Ask yourself, what the worst that could happen if you “negotiate” with the person wanting to meet with you? The worst is they refuse your suggested time and insist you meet them at their preferred time. At that point you can accept.  Yet, I can promise you, the majority of people you negotiate times with will accept your time. The time they chose was completely random anyway. No matter who they are, your boss, your most important customer or whatever, they will thank you for taking the initiative and suggesting a time.  I will end with a recent example of this. I am in the process of changing my car as the lease on my current one is expiring in September. We called the dealership to arrange a test drive in a car I was interested in, and the sales manager informed us that this week they were fully booked up, but they had an opening on Thursday or Friday afternoon next week.  I was both impressed and relieved. Impressed because he did not jump at the chance and suggest we come down that afternoon or tomorrow. I had a sense of scarcity. Relieved because he took the decision for making the appointment out of our hands.  We arranged 1pm the following Thursday and when we arrived, the car was on the forecourt ready and waiting for us. A very impressive experience.  So, there you go, Karen. Don't be afraid to negotiate your appointments and meetings. Build confidence in negotiating interruptions from your team and protect sufficient time for getting your core work done.  Thank you for your question and and thank you to you too. It just remains for me to wish you all a very very productive week.   

In today's MadTech Daily, Judge Amit Mehta zooms in on generative AI in Google's antitrust case, the New York Times strikes an AI content licensing deal with Amazon, and the AI copyright clash in the UK intensifies.

CLICK HERE to join Alchemy - a month to month membership and includes all of my courses, access to our private summer Voxer group for coaching, and Zooms as well :) Resources Mentioned In This Episode: Order The Almost 30 Book Here: https://almost30.com/book Other You Do Woo Links: Connect with me on Instagram Here. Join the Free You Do Woo Tribe: https://ig.me/j/AbZULtQ0kzAEw61n/ Click here for your FREE Human Design Cheat Sheet Free Energy Center PDF: https://youdowoo.mykajabi.com/opt-in-1fac763d-f131-4a47-b359-e0131fba39ab 60 Minute Full Human Design Reading: https://youdowoo.mykajabi.com/human-design-reading FREE Timeline Jumping Workshop: https://youdowoo.mykajabi.com/offers/vQVEokXA Ways To Work With MeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Why Everything Goes Wrong Before Everything Gets Better Ever noticed how life seems to fall apart right before your biggest breakthrough? In this solo episode, I'm getting honest about the chaos that's exploded lately—from (almost) burnout and ocular migraines to toddler sick bugs and Zooms in carparks—and why I still believe it's all happening for a reason. We're diving into what it really means to stop settling, why you have to become the version of you who already has what you want, and how the universe will test you before your next level arrives. This one's part personal update, part identity rewire—and if you're currently in the thick of it, this episode is your permission slip to trust the mess and THE PROCESS!! Because you can't manifest a new life while clinging to old habits, holey knickers, and “it'll do” energy. What you'll learn: Why chaos often strikes right before a breakthrough How burnout shows up—and why I ignored every sign The sneaky ways we settle (and how to stop) Why manifestation isn't about what you want—it's about who you are The energetic signals you're sending without realising it How to stop attracting chaos and start becoming your future self What happened in my masterclass that blew people away Mentioned in this episode: Overcome Clutter, Allow Abundance masterclass Feedback request (if you attended the masterclass, click the link or check your inbox!) Your Next Steps: Work with me: https://www.amythespacecreator.com/services Join my VIP email list for free weekly decluttering and mindset tips & motivation: https://thespacecreator.myflodesk.com/tscpodcast Join The Space Creator Community Facebook Group: https://www.facebook.com/groups/spacecreatorcommunity Listening as a Professional Organiser? Work with me in a business capacity via Pro Organiser Academy: https://proorganiseracademy.com/ Connect on Social: Follow me on Instagram: @amythespacecreator & @proorganiseracademy Follow me on TikTok: https://www.tiktok.com/@amythespacecreator Subscribe on YouTube: https://www.youtube.com/@amythespacecreator Make sure you subscribe or tap follow so you don't miss an episode! And, if you loved this episode, please leave me a 5* rating and a review. Thanks so much for listening. Amy xx Your decluttering bestie

Cassidy Timbrooks joins Game of Roses to revisit her time on Season 26 of The Bachelor and reflect on her historic journey as the first player ever coached by BachelorClues. From DM'ing for help to weekly strategy Zooms, Cassidy walks through the casting process, the infamous toy car entrance, and the villain edit that defined her run. She reacts to key moments from the show—including the Hilary Duff date, cake drop, and poolside makeout—and shares what really happened behind the scenes.__Join the Pit on Patreon for more exclusive content and shows! : / gameofroses__Want coaching tips? email gameofrozes@gmail.com__Follow us on TikTok: @gameofrosesFollow us on Instagram-Game of Roses: @gameofrosespodPacecase: @pacecaseBachelor Clues: @bachelorclues Hosted on Acast. See acast.com/privacy for more information.

Bloomberg Businessweek brings you a smart and fun chat show about all things...business. Hosted by award-winning business and economics journalists Max Chafkin (author of The Contrarian: Peter Thiel and Silicon Valley’s Pursuit of Power) and Stacey Vanek Smith (former co-host of NPR’s Planet Money and reporter for Marketplace), Everybody's Business is powered by the unparalleled sources and reporters who bring you Businessweek magazine’s headlines and the stories behind them. The show gives listeners a window into the discussions happening in boardrooms, Zooms and group chats in power centers around the world. From interpreting Fed meetings to the business of wolf cloning, each week Max, Stacey and their friends at Bloomberg Businessweek guide listeners through what really went on during the last week from Wall Street and Main Street. Because what’s happening with money and markets is everybody’s business. Listen here and subscribe to Everybody's Business on the iHeartRadio app or wherever you get your podcasts!See omnystudio.com/listener for privacy information.

CLICK HERE to join Alchemy - a month to month membership and includes all of my courses, access to our private summer Voxer group for coaching, and Zooms as well :)Resources Mentioned In This Episode:Connect with Krista on IG Here: https://www.instagram.com/itskrista/Krista's Website: https://itskrista.comOrder The Almost 30 Book Here: https://almost30.com/bookOther You Do Woo Links:Connect with me on Instagram Here.Join the Free You Do Woo Tribe: https://ig.me/j/AbZULtQ0kzAEw61n/Click here for your FREE Human Design Cheat SheetFree Energy Center PDF: https://youdowoo.mykajabi.com/opt-in-1fac763d-f131-4a47-b359-e0131fba39ab60 Minute Full Human Design Reading: https://youdowoo.mykajabi.com/human-design-readingFREE Timeline Jumping Workshop: https://youdowoo.mykajabi.com/offers/vQVEokXAWays To Work With MeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join the Free You Do Woo Tribe: https://ig.me/j/AbZULtQ0kzAEw61n/CLICK HERE to join Alchemy - a month to month membership and includes all of my courses, access to our private summer Voxer group for coaching, and Zooms as well :) Resources Mentioned In This Episode:Connect with Gabrielle on IG: https://www.instagram.com/aguaastrology/Gabrielle's Podcast: https://www.instagram.com/thespiritualsisterspodcast/Gabrielle's Offeringswww.aguaastrology.com https://aguaastrology.etsy.comhttps://aguaastrology.teachable.com/p/home-aguaastrology-teachable-comOther You Do Woo Links:Connect with me on Instagram Here. Click here for your FREE Human Design Cheat SheetFree Energy Center PDF: https://youdowoo.mykajabi.com/opt-in-1fac763d-f131-4a47-b359-e0131fba39ab60 Minute Full Human Design Reading: https://youdowoo.mykajabi.com/human-design-readingFREE Timeline Jumping Workshop: https://youdowoo.mykajabi.com/offers/vQVEokXAWays To Work With MeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When your podcast (or your business) no longer feels like you, it's time to change the vibe.In this super personal episode, I'm inviting you behind the scenes of my recent rebrand: from loud neon to soft granola, from performing to aligning, from what I thought would sell to what actually feels like home. If you've ever felt like your podcast or brand is wearing a costume, or like your content creation process feels heavy and inauthentic, this one's for you.In this episode, we're talking about:Why your podcast brand might feel misaligned, and how to know when it's time to change itThe difference between branding that looks good vs. branding that feels goodHow childhood trauma and people-pleasing can sneak into our aesthetic and content choicesWhat to do when your visuals, content, or clients no longer feel like a fitThe psychology of brand evolution, creative self-permission, and building something that holds future youThis episode is for you if:You've outgrown your podcast branding but feel scared to pivotYou're showing up online as a version of yourself that isn't quite real anymoreYou're tired of performing and ready to create from a place of truth and clarityYou want to make sure your podcast reflects who you are becoming, not just who you wereReady to rebrand your podcast? Start with these reflection prompts:What part of your brand feels heavy or disconnected?Where are you shrinking, diluting, or “performing” just to stay on brand?What would your podcast look like if you weren't worried about fitting in?When you start answering those questions with honesty, your next evolution starts to take shape.Want My Help with Your Podcast Rebrand? Whether you need clarity on your voice, alignment on your visuals, or support mapping out your next move—I've got you. My Day of Voxer service is the perfect space to unpack your vision and strategize your next chapter (no Zooms, no pressure).

CLICK HERE to join Alchemy - a month to month membership and includes all of my courses, access to our private summer Voxer group for coaching, and Zooms as well :) Free Prosperity Process Workshop when you join Alchemy: https://youdowoo.mykajabi.com/offers/WXZtUQSs/checkoutJoin the Free You Do Woo Tribe: https://ig.me/j/AbZULtQ0kzAEw61n/Shannon's Bio:As a former Registered Dietitian turned entrepreneur, I've dedicated my life to helping midlife women rediscover their energy, confidence, and purpose. Whether you're navigating hormonal changes, struggling to feel like yourself, or searching for your next chapter, I'm here to guide you toward a vibrant and fulfilling midlife. Through my Midlife Life Edit course, my Thriving to 50 and Beyond Journal, my clean living products, and our supportive Healthy Living Club, I help women create small daily habits that lead to lasting transformations. I'm passionate about nutrition self-care, clean beauty, and empowering women to take control of their health and happiness. As an empty-nester living in beautiful Southern California, I know first hand the challenges and opportunities midlife brings. When I'm not supporting women on their journey, you'll find me at the beach, traveling, hanging out my family or embracing the outdoors with a grateful heart.Resources Mentioned In This Episode:The book that I referenced is “Doing life with your Adult Children: Keep Your Mouth Shut and the Welcome Mat Out” by Jim Burns. Connect with Shannon on IG: https://www.instagram.com/shannonblas/Shannon's Journal is Available on Amazon as well as on her website here: www.shannonblas.com. Other You Do Woo Links:Connect with me on Instagram Here. Click here for your FREE Human Design Cheat SheetFree Energy Center PDF: https://youdowoo.mykajabi.com/opt-in-1fac763d-f131-4a47-b359-e0131fba39ab60 Minute Full Human Design Reading: https://youdowoo.mykajabi.com/human-design-readingFREE Timeline Jumping Workshop: https://youdowoo.mykajabi.com/offers/vQVEokXAWays To Work With MeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Judicial Conduct Tribunal probing sexual harassments allegations levelled against Eastern Cape Judge President, Selby Mbenenge has just started to focus on new CCTV footage which has been brought forward. Mbenenge stands accused by his former secretary, Andiswa Mengo who alleges that she was harrassed by Judge President Mbenege via in-person interaction and electronic communication between June 2021 and November 2022. Sakina Kamwendo spoke to SABC Reporter, Canny Maphanga

Host: Jennifer BrownTOPICS: WIN zooms for the WIN!  Why Community Matters!

This episode is brought to you with the support of  our sponsor, NordVPN and Incogni. To get your special NordVPN disvcount visit www.nordvpn.com/spacetimeand your Incogni deal at www.incogni.com/spacetime. Both offers come with a 30 day money back guarantee! Support the show and check them out....recommended and used by the team here at SpaceTime.NASA's Lucy Mission, Neutrino Mass Breakthrough, and Martian Rock DiscoveriesIn this episode of SpaceTime, we dive into NASA's Lucy spacecraft as it prepares for a close flyby of the asteroid Donald Johanson, located in the main asteroid belt. The spacecraft will autonomously track and observe this 3km wide space rock, gathering crucial data that could shed light on its peculiar formation and geological history. This encounter serves as a vital rehearsal for Lucy's upcoming mission to explore Jupiter's Trojan asteroids, promising insights into the early solar system.A New Upper Limit for Neutrino MassNext, we discuss a groundbreaking study that has established a new upper limit for the mass of the elusive neutrino, now determined to be less than 0.45 electron volts. This significant finding not only narrows the particle's mass range but also challenges existing theories in particle physics, pushing the boundaries of our understanding of the universe's fundamental forces.Intriguing Martian Richie OutcropsAdditionally, we explore the fascinating discoveries made by NASA's Mars Perseverance rover on the rim of Jezero Crater. The rover has uncovered a diverse array of rock types, providing a unique glimpse into Martian history and the planet's potential for past habitability. With multiple rock samples collected and analyzed, Perseverance continues to unveil the geological secrets of the Red Planet.00:00 Space Time Series 28 Episode 49 for broadcast on 23 April 202500:49 Lucy spacecraft's close encounter with asteroid Donald Johanson06:30 Insights into the asteroid's formation and geology12:15 New upper limit established for neutrino mass18:00 Implications for particle physics and the standard model22:45 Mars Perseverance rover's discoveries on Jezero Crater27:00 Summary of recent planetary exploration findings30:15 Science report: Weather extremes and lab-grown chicken nuggetswww.spacetimewithstuartgary.comwww.bitesz.com

We take a full hour of nothing but your phone calls and Zooms as people react to the transfer portal, and all kinds of SEC news. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today on Spooked! Cody keeps doubling down on Porky, Damien tries to reinvest in himself, and Bryn gives a down on his luck superstar a fresh start. It's all about financial misteps, so put it all on red, hit on 17, and get ready to get Spooked! Brought to you By: The Sonar Network https://thesonarnetwork.com/

This week on the podcast, I'm joined by Marie-Luise, a professional opera singer from Germany who made a bold move after doing 100 solo workouts that led nowhere.She had already been performing a major role- twice. The first time, she promised herself she'd get in better shape for the second round. So she trained consistently… but when she stepped into the costume again, it was still just as tight.That's when she reached out to me. We had spoken once in 2021 but never started. This time? She joined within three hours. And she's been going strong ever since.Marie-Louise doesn't attend live Zooms. She doesn't need reminders. She follows her custom BBM program solo and the transformation has been wild.In this episode, we talk about:Why she finally stopped trying to “figure it out” on her ownWhat changed when she started strength training with structureThe difference between being disciplined alone vs. being coachedHow her transformation is showing up not just in her body, but in her performance, her confidence, and her presence on stageWe also get into:Why her mom noticing the change might've been the biggest momentHow Marie-Louise went from avoiding free weights to owning her space in the gymWhat performers need to know about looking the part and feeling good in their bodyThis episode is for anyone who's been doing “everything right” but still not seeing results or who needs a reminder that the missing piece isn't effort, it's a plan made for you by a professional.Want to see what happens when you finally stop guessing and start training for real?Book a chat with me here:https://monikaamazur.as.me/CoffeeandGoals

On today's episode of The Pod At The Palace: - Frontcourt dominoes are falling, and Hogs are heating up in big-man market - Zooms scheduled with two talented wings - Latest on Lamar Wilkerson + New name to know - Arkansas still in mix for Nate Ament? OFFICIAL MERCH: https://insidearkansas.myshopify.com/ #arkansas #razorbacks #football #basketball #baseball #sampittman #johncalipari SHOUTOUT TO OUR SPONSORS: BET SARACEN Arkansas' #1 Sports Betting App! Visit www.betsaracen.com to check out the latest spreads, lines, O/U, parlays, and more! BetSaracen has specials running every day that are unique to everyone here in the great, state of Arkansas! Download the BetSaracen app today on the Apple or Google Play store and get to winning big ONLY with BetSaracen…Arkansas' #1 Sports Betting App! https://apps.apple.com/us/app/saracen/id1612098207 ----------------------------------------------------------------------------- BASIS HEALTH Basis Health is changing the way healthcare is delivered by providing mobile medical visits at the comfort of your home. A doctor will come to your home for urgent care, primary care, IV hydration and more! Basis Health… they are here for you when and where you need them most! Learn more at basishealth.org today! ----------------------------------------------------------------------------- HD ROOFING & CONSTRUCTION Storms can hit unexpectedly, so be sure to contact HD Roofing for your peace of mind with a free inspection. When you choose HD Roofing, you can rely on professionalism, top-quality materials and expert installation for all of your roofing needs! ----------------------------------------------------------------------------- FAYETTEVILLE FLY COMPANY Fayetteville Fly Company is a local small business based right here in Fayetteville. They offer apparel for outdoor enthusiasts and weekend warriors who enjoy everything NW Arkansas has to offer including fishing, hiking, biking, hunting and more. Fayetteville Fly Co carries a full line of hats, long and short sleeved shirts, outerwear, and more. Use code: HOGSBY20 for 20% off purchases at www.fflyco.com Free Shipping on all orders of $50 (5% back to local non-profits supporting nature conservation efforts) Gear up for the Holidays Check out New full zip jackets and hoodies in time for colder weather ahead! ----------------------------------------------------------------------------- ALUMNI HALL 3417 N College Ave, Fayetteville, AR 72703 479-435-6352 www.insidearkansas.com/alumnihall The best and largest selection of Razorback gear Apparel for the family - mens, womens, kids, pets too Razorback apparel, accessories, hats, Yeti, gifts - Alumni Hall has it all Hall Pass Rewards - Earn points with your purchases and get rewarded! Once you've spent $150 (which is easy to do), you'll get $10 off your next purchase Have the nice brands we love (for men) - Nike, Columbia, Cutter & Buck, Johnnie-O, Onward Reserve, Peter Millar, southern tide, Tommy Bahama, Turtleson. We know some athletes so for our friends that shop the big and tall Hogs gear - shop today at www.insidearkansas.com/alumnihall Alumni Hall - The ultimate Razorback shopping destination! ----------------------------------------------------------------------------- BRYANT TECHNOLOGIES Whether it's structured cabling, security camera installation, digital signage, or TV mounting, Bryant Technologies has you covered. They service the entire state of Arkansas as well as all of Arkansas' bordering states! Have Bryant Technologies help you with all of your network & security needs. Give them a call at 870-883-0330 or check out their website at www.bryantstechnologies.com It's Bryant Technologies…Quality Work. Guaranteed. Learn more about your ad choices. Visit megaphone.fm/adchoices

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back 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 Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

Tech reporter Ben Brody brings you behind the scenes of a Zoom call with Rebecca Kelly Slaughter and Alvaro Bedoya, two Democratic members of the Federal Trade Commission who were fired by President Donald Trump this past week, and other key figures from the Biden-era tech antitrust world. This story was featured in The Readback, our weekend digest featuring the best of Punchbowl News this week. Want more in-depth daily coverage from Congress? Subscribe to our free Punchbowl News AM newsletter at punchbowl.news. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 544: Neal and Kyle discuss 2 EV makers going in opposite directions as BYD claims it can charge as fast as 5mins while Tesla continues to struggle. Then, Trump's executive order to dismantle the Department of Education leaves student loans in the air. Plus, the Boston Celtics sold for $6.1B, making it the biggest sale of a team in US history. Meanwhile, Disney's remake of ‘Snow White' comes to theaters, but not without a ton of baggage. Finally, this year's list of the world's happiest countries…and no surprise that No. 1 is a Nordic country. Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Learn more at sophos.com Get your MBD mug here: https://shop.morningbrew.com/products/morning-brew-daily-mug  Listen to Morning Brew Daily Here: https://link.chtbl.com/MBD Watch Morning Brew Daily Here: https://www.youtube.com/@MorningBrewDailyShow Learn more about your ad choices. Visit megaphone.fm/adchoices

What went down in New Orleans with the Real Housewives of Orange County cast trip? Is Tamra really leaving Housewives? Atlanta is back and we're seated. Porsha is back and shares a little about why she filed for divorce from Simon Guobadia. Shamea, her ride or die, now has a peach and we think she's going to have a breakout season. The new cast members are spicy and have a lot going on...and is Drew getting too close for comfort with Dennis, Porsha's ex-husband and father of their daughter? The Valley trailer dropped and it's looking just as chaotic as we expected given the behind the scenes tea that we've been sharing. Summer House's Danielle: Is she just a mean girl?   If you haven't joined Cocktail Party, now is the time! You can access ALL of the previous exclusive Cocktail Party posts and bonus podcasts dating back to November of 2022! And of course, you'll get a front seat to all the developing tea as it comes out plus our exclusive Discord channel plus our notorious monthly Zooms where everything that happens in the Zoom stays in the Zoom. Go to bravoandcocktails.com/join and use code WSWWS2025 to get your first month for $5!

On this episode of The Founder's Sandbox, Brenda speaks with Shivani Honwad – founder of her own law firm, who specializes in immigration and business law for the creative industries.  Shivani is a business and immigration lawyer, and trailblazer in supporting the Freelance and Free Act, as well as a professor at NYU LA campus teaching Entrepreneurship for creatives.  “I could not keep hearing it and not do anything about it” Shivani says, speaking about immigration as a major issue for freelance fashion workers.  Shivani set out to get smarter. Ten 10 years later, The Law Firm of Shivani Honwad, LLC, focuses primarily on immigration and business law for companies in the fashion, tech, beauty and entertainment realms. You can find out more about Shivani at: https://www.linkedin.com/in/shivani-honwad- http://www.shivanilaw.com Find some of my guest's content here : Laws “the freelance and free act” https://www.nyc.gov/site/dca/about/freelance-isnt-free-act.page     Transcript: 00:04 Hi, I'm pleased to announce something very special to me, a new subscription-based service through Next Act Advisors that allows members exclusive access to personal industry insights and bespoke 00:32 corporate governance knowledge. This comes in the form of blogs, personal book recommendations, and early access to the founder's sandbox podcast episodes before they released to the public. If you want more white glove information on building your startup with information like what was in today's episode, sign up with the link in the show notes to enjoy being a special member of Next Act Advisors. 01:01 As a thank you to Founders Sandbox listeners, you can use code SANDBOX25 at checkout to enjoy 25% off your membership costs. Thank you. 01:18 Welcome back to the Founder's Sandbox. I am Brenda McCabe, your host. This is a monthly podcast in which I reach entrepreneurs, business owners, who are going to learn about building resilient, purpose-driven, and sustainable businesses with great corporate governance. 01:38 I like to assist the entrepreneurs in building these scalable, well-governed and resilient business. And what I do with my guests is they tell their origin story about how they've built their own practices. And we'll get to the origin story of my guest this month, Shivani Honwad. Shivani and I have known each other for many years. She was bi-coastal in New York and Los Angeles. We met actually in the Los Angeles. 02:06 Los Angeles Venture Association, LAVA. It has a women affinity group. And she was eagerly contributing to some of the material and programs that we put on for women business owners, actually startups in the LA ecosystem. So I wanna thank you Shivani for joining me this month and the founder Sandbox. Thank you, Brenda. Thank you. So. 02:35 You own your own law firm, the law firm of Shivani Honwad. And it was originally based in New York. I don't know whether you operate nationally, but I'd love you to kind of repeat your origin story when I met you the first time in one of the women in lava. It was a small gathering. And it struck me your story was fascinating, because you were 03:04 working for a law firm in New York, but it was in your social life. You were, you know, out for drinks in the evenings and you would often be approached by women who were in the fashion industry, so models, and inevitably over a drink or maybe not a drink, they would end up using some of your free services. What was that? What were they asking your advice on, Shivani? And with that, we're going to get started on your origin story. 03:32 Thank you. Yeah, sure. So, you know, I was in my twenties in New York City and as one does in New York City, I would often go out. So I, at the time, was working in criminal law with a firm and civil litigation. But so I would go out with my friends. You know, I went to NYU, so I had a lot of friends in the city. And, you know, these models kept approaching me and they were like, hey, I heard you're a lawyer. I need help. 04:00 And I was like, oh, did you get arrested or did something happen like that? And they were like, no. And I kept hearing stories of how they were working for these modeling agencies. Most of the people that approached me were international models and their passports or their visas or something like their paperwork was being withheld so that they didn't really have freedom to travel and then not only that, they wouldn't be paid out. So. 04:25 they would model for days, weeks, sometimes months at a time, and be paid $0. And the agencies were just, there was just a lot of abuse in the industry. And so they kept asking for help. And at the time, I didn't really understand enough about the industry to know how pervasive this was. But I started looking into it because it wasn't just one model approaching me. It was like dozens of models over the course of a few weeks, if not maybe a few months. 04:54 that kept asking me for help. And it got to a point. I imagine your name got around, right? Well, because I wasn't doing anything yet. It was just that I was the only lawyer at all of these events, right? And I mean, this is also pre-Me too. So the other part of it was, is the lawyers they were going to, some of the male lawyers unfortunately, were also taking advantage of them and being like, hey, I'll help you, but you have to be my date to this event like Saturday night. 05:20 So they would see me in my 20s and a woman and woman of color, and they would just be like, oh, OK, so she won't sexually harass me or she won't threaten me in any way. So I think I was seen as a safer space for that. So I think that's why people approach me at parties. And then it got to a point where I just I couldn't really keep hearing it and not do anything about it. 05:46 And so I did some research into it. And then I found lawyers. I knew some in my network that knew how to help them. And the biggest issue, it seemed, was the immigration part, where it was like, if models come into the US under what's called an O-1 visa, and typically it's tied to whoever their agent or employer is if they come in under that route. But if they do it, there's other ways they can do it to have a little more freedom, or they can get their green cards so they have freedom. And that's the EB1A route. 06:16 And so I figured out an attorney who did that and he had agreed to like train me in how to do that. So eventually like I started my own law firm focusing on that. And it was just to help these models get some freedom. And then, you know, I expanded from there to doing some IP and contracts because once I helped them and get got them more stable, they were like, okay, well now I'm doing these ventures and I want you to negotiate these contracts and I want you to be my lawyer for this. Like you were great. So that's how my law firm kind of came to be. 06:44 And it was just 10 years actually, since I've opened it this past August. Oh my goodness. Yeah. It was just, it started out at this crazy need of just people needing help and to be in a safe space. And the irony of it is that I originally went to law school to kind of work on human trafficking issues. Oh my goodness. And I never thought I would see it. Like I never thought I'd work in fashion, but I mean, the work I was doing was tied to that because a lot of the models were essentially held in debt bondage. 07:14 of being tied to these agencies not being paid out and saying like, you owe us this much money so we're not gonna pay you or what have you. So I think that's how it's still, I got to do what I went to law school for, but in a different way than I had initially thought. Like I thought I would work for the UN or something like, but it was so hard to get into the UN. I applied nonstop originally, but like I got to do this. And like we changed some laws around in this space. Like, 07:43 The Boston Globe did like the Spotlight team did a piece on this and like some of my clients that I was also interviewed for. And then, you know, we met with officials in city hall. And so the freelances and free act, which got passed in New York also applies to models. So if an agency, you know, gets payment from a client to the agency and they don't pay the model within 30 days, the state of New York will actually fine the agency. 08:10 So the models now have recourse to collect payment faster. Excellent. So I would ask you later to give me this law, and we'll put it in the show notes. Because this is amazing. You have been a trailblazer in a serendipitous way. You started out, or while you're studying law, you thought you would work in sexual traffic, and you did not, or human trafficking. And you were doing criminal law. 08:38 ended up actually representing fashion models, immigration issues, as well as eventually venturing into assisting them in their contract management and IP. So amazing story. And I loved one thing that you did say. You said, I couldn't not do anything, right? I researched it and I just could not just let this go. So. 09:08 Very, very resilient, Shivani. How did that experience or others inform you to actually move all the way out here to Los Angeles and set up practice? And tell us a little bit about that. So I don't think you and I have actually talked about this before. But originally, what brought me out to LA was some of the work that I did here for the models. I was recruited by some organizations in the e-sports area. 09:38 Um, you know, e-sports is actually pretty big out here in California. And, um, there was some e-sports organizations that wanted me to help implement essentially policies and basic human rights for the gamers, because, um, kind of what we had done for the models in New York, um, there was really no regulations a couple of years ago. It's still pretty bare minimum, but. 10:02 for the e-sports gamers. And you have all these essentially mostly teenage boys, there are female gamers as well, but in the e-sports tournaments, and they were just taking a ton of speed or drinking nonstop Monster Energy drinks, and they were just dying, quite frankly, they were under all this pressure to perform. And again, there was really no regulation around it. And their contracts were devoid of like... 10:28 just basic human rights of like, okay, you can get a bathroom break, you get time to eat, you get time to sleep. So originally I was recruited out here to kind of work on those issues. And I will say, if you've never been to an e-sports tournament and like in a stadium, I advise going, it's an experience. Wow. This is like a trillion dollar industry and it like traverses all socioeconomic, like really like it. 10:56 It just transcends all lines. It's just an incredible scene to experience, just the fandom of it all. So I was in that space for a little bit originally and it just, it was a very chaotic environment that I just didn't really want to be in anymore. Right. And then, yeah, I just- And you were doing this from 11:26 from your own practice? At that time, you'd set up your practice, so you just recently celebrated 10 years of your law firm, Shivani Hanwad. Yeah. You were actually serving the e-sports from your law firm. Yeah, so I was doing some contract stuff. I was doing visas for the gamers, things like that. So I was getting more familiar with it. But it was because the issues paralleled. 11:53 basically what was happening with models in New York with the sports gamers in California. So that's kind of how the whole thing started. And then, like I said, it wasn't really for me, but then I had made some inroads here. I got connected to Lava and some other organizations. And then I got offered the position to teach at NYU's LA campus. So that's kind of anchored me here in Los Angeles now. But yeah, so I still do kind of the same stuff and I work. 12:22 you know, same. The thing with immigration law is it's federal. So my clients are all over the world and a lot of my clients also in the fashion, creative industries, their contracts are mostly like for New York and California based things. And like I'm admitted to practice law in both New York and California. So they just email me, like we do Zooms or, you know, calls and stuff and go through stuff. So yeah, I serve clients all over the world basically. 12:51 position you have with New York Stern's LA campus? It's not Stern. So it's New York University. Okay. I went to Stern undergrad. Yes. And then, but New York University's Los Angeles campus is just a general campus. It's not a specific school. Okay. So we serve students from all schools. And actually we have multiple global campuses. So we have two other degree granting campuses. One is NYU Abu Dhabi. 13:21 and one is NYU Shanghai. So this is what come to our LA program. It's an undergrad study abroad only program. So it's one semester and they come mainly from our New York campus. Some are, we also do have a lot of students that come from our Abu Dhabi campus and our Shanghai campus. And then they might be as part of other programs too. And so they come out here, they spend a semester, they, we work on getting them internships. 13:48 And they just kind of see, like most of them want to go into the entertainment industries in, you know, whether it's media, like screenwriting, directing, producing, or music. So they're just trying to see if they like the LA environment, make some inroads for if they want to like pursue their career in LA or New York or what's better for them. So that's the program that we have out here right now. And like we're growing actively because the campus opened in fall of 2019. 14:15 closed promptly in spring of 2020. And then just reopened fully again last year. All right. And do you teach a specific subject? Well, yeah. So the course that I teach, it's basically structured around like entrepreneurship or creatives. So I bring in kind of my business and my legal backgrounds. My, the director of the NYU LA program is amazing. And she gave me carte blanche to kind of design a course. 14:44 She was like, think of them as your future clients. What do you wish they knew? So that's kind of what we designed. So we like include like how to pitch, how to develop a deck and then how to pitch that deck. I also do a negotiation simulation because oftentimes these students have never like negotiated a deal before. So I go over, you know, what are basic deal terms that you should at least understand and if nothing else have these in a contract. And then I design a whole simulation and like put them in groups. 15:13 and give them mock contracts and they have to negotiate it out. And it's really fun because every single time we do it, they all start with the same contract, the same roles, and everything. And then they all present at the end of class what their deal terms were. And no group has ever had the same deal terms. And the reason for that is because it's also to show them that you all come in with your own biases and preferences and experiences and values. 15:41 Yes. It doesn't really matter what the other people are doing. It's just like, what makes sense to you? What do you feel comfortable with? Because if you feel comfortable with the deal and you're okay performing for this rate or with these terms or whatever, then you're going to be fine. And so, because then I always ask them, did you want someone else's deal? And they might say that they wanted parts of it. They're like, oh, I didn't know I could add that. Sometimes if we're doing an artist contract negotiation, 16:10 my female students will always be like, they'll add in hair and makeup budget. And then the male students didn't know like, oh, that's a thing or like, how much is hair and mica? And like women know that it should be expensive. So they're like, oh, I could do that. So like, it's things like that that come up cause I'm like, you can add in, if it's not written there, you can add stuff in. Like I give you flexibility. And they're like, okay, I'll think about that next time. But because they negotiated out, they felt heard. 16:40 So they're comfortable with the deal that they agreed to because they felt like they were heard, they felt valued. And so they were fine with their deal overall. So again, although they may have picked up some things that they would like for next time, no one's really been outright like, my deal was terrible. Like everyone's kind of felt like kind of comfortable because they get time to talk it through. And I think that's like the biggest takeaway is like, as long as like the other side feels heard, 17:09 you can agree to a situation where all parties kind of essentially win and can work together well. And thank you, this is fascinating. So you have an entrepreneurship program at the New York University's Los Angeles campus. There's another campus in Abu Dhabi and Shanghai. And so it's a year abroad. So is it cross-cultural mix and what students? Yes, but. 17:38 Sorry, I'm just gonna clarify. So it's not a year abroad for Abu Dhabi and Shanghai. They're actually degree granting campuses. Okay. So the Abu Dhabi campus is actually a really incredible program. It's a four year program. Okay. And it only has like a 2% admission rate cause tuition is free at that campus. So they're completely separate programs but they're all under the NYU umbrella. But I'm just saying that students come to our LA campus for a semester. It's a semester, right? Yeah, for a semester just to kind of do a semester abroad essentially. 18:09 And how many entrepreneurs have gone through your program? So, okay, so let me also clarify, sorry. I teach the Entrepreneurship for Creatives course, but like our entire curriculum here is centered around the entertainment industry. So there's a movie marketing class, there's a screenwriting class, there's pitching your project class, there's a history of film class. So it's all centered around entertainment. There's music courses, there's stuff like that. 18:38 The entrepreneur part is just kind of what I do because like, that's my background. And also like if you're a creative, you are an entrepreneur in the industry, like you are your brand. So mine's the only one, my course is the only one focused on that. So it's not that we have entrepreneurs here. They all want to be in the entertainment industry, but it's part of being in the entertainment industry, you are an entrepreneur. So just to clarify that a little bit, that it's not a separate program. Excellent. And thank you for that, you know, clarifying. 19:08 And I would like you to speak about your own new venture. So not only do you have your own law practice, you have recently started an initiative that is the South Asian Creator Collective. Tell us a little bit more about this. Yeah, so we launched that out of the NYU LA campus. Okay. Because I just found out like that my South Asian students 19:38 They, you know, we have only a few, usually every semester, but they just didn't have the community that some of the other creative communities had because typically South Asian families, your parents want you to be a doctor or an engineer and not really like, okay, you can have a music hobby or be a dancer as a hobby, but not have that as a career. So there was a lot of lack of support. And then I represent some South Asian artists. 20:06 whether they're writers or dancers or creators, producers, things like that in New York and LA. And so they also obviously would say the same thing. So I kind of wanted to bring everyone together to not only create a community for like my clients, my friends who are in the industry, but also to help build that bridge for my South Asian students to have like, you know, mentors in the industry. So we had our first meeting earlier this, a couple of months ago. 20:32 What came out of that was really cool that I brought together my friends and clients. They've already started collabing together on stuff. And then Brenda through you and Ty, I met people who are possibly interested in investing in South Asian creators projects. So we're looking at doing a possible pitch event in the spring to have our creators pitch projects and then to have investors possibly invest in them. So I like the idea of just bringing people together to kind of create this community 21:01 and to help each other kind of, you know, use everyone's skill sets just to create a better whole together. I love it. And I was absolutely thrilled that you were at the Thai So Cal's recent event with the preview and a screening of Show Her the Money, as well as we had our final. 21:22 competition for five women-owned businesses. So thank you for joining us there. We did that at the Noah House in Hollywood, of which I'm a member, and look forward to hearing more about the PitchFest that is probably gonna be in the spring of next year. Hopefully. Noah's crazy though about that, show her the money screening. I didn't realize how many people I knew in the film. Like I knew... 21:48 Liz, like from this organization that we were part of in New York, Dreamers and Doors, were like mainly female entrepreneurs. Like I knew her when she was starting Sogal. And so it was so crazy to see how far they've come. And then like I knew so many other people in the film. And I was like, wait, I knew them back then. I didn't know they were in this film. And like Naseem was in there. Like there was just so many people that I was saw in the film that I was like, wait, I know these people personally. So it was just a really cool screening to see. And to see so many. 22:18 people that I've known over the years, just in how far they've come over the years too. Was really cool. Yeah, initially it's a movement now. So initially Show Her the Money was gonna be shown in 50 US cities. It's gone viral. I think we're up in to the 200s and yeah, it's a movement. So thank you for being, and it's a small world, right? Oh, completely. We all end up, yes, there are no borders. So yeah, thank you. 22:45 And I look forward to that launch and I would be happy to promote it here in the founder sandbox as well as on my YouTube channel. You know, this switch gears. I want to I initially I've known you for years, but I really wanted you to come on to the founder sandbox because not only your story of not resiliency, but to the move across from the from LA to from New York to LA. But 23:14 you're passionate clearly about resilience. And I am also passionate. And it's the type of work I do with with founders as they're scaling their businesses just working on this resiliency, I say muscles. You recently hosted during LA's tech week, about two weeks back, a session on resiliency. Tell us a little bit about it and why you wanted to spearhead that. 23:42 Um, so I did my first LA tech week event last year, and that was a great learning experience. We did it all about pivoting and we had like 400 RSVPs for like 75 spots because I did at NYU's LA campus and we're small. So we had a fire martial capacity of 75. So it was just like overwhelming. But the original reason I launched that event was because 24:09 Um, when I looked at the original LA tech week calendar, all I saw were men on that calendar. And I only, if I saw a panel with a woman, it was like one woman and like five men. And I was like, I have so many incredible friends and clients that are women doing incredible things in the tech space and they never get the platform to talk about this. So I wanted a female forward event. Um, so I did that one and then that one went really well. So then everyone was like, 24:37 Okay, what are you doing for tech week this year? So that's how I was like, okay, so everyone really liked the pivoting one because they said they learned something from it and it was something everyone could relate to. So then, you know, as we're coming out of COVID, a lot of people have felt burnout and have felt the need to kind of just like reinvent themselves or just kind of rise from the ashes to a degree. So then this year's theme, I was like, I feel like I wanna do something around resilience. 25:04 because it's about like weathering the storm and coming out and like, you know, thriving again. And so again, I did it female forward. But what was really incredible is a lot of my male clients and friends also came and like others that I didn't know. And like all of them just like loved the event. And they're like, this has been the most informative event I've ever been to. And I said that at the beginning of my event, I was like, you know, this is like, yes, I, you know, my panel is all women, but 25:33 we can't change the ratio of where only 2% of women receive VC funding if we don't have men in the room, because you need everyone at the table to help change that statistic. And so by sharing the stories of like, again, they were my clients and friends, but they all run like incredible organizations. Like Steph Rizal was one of our speakers. She's an incredible singer songwriter. She just wrote a book for creatives and self-care. 26:00 I had Jazzy Collins, who's the first black person to win an Emmy for casting. And she has a production house called Force Perspective. I had Mickey Reynolds, who used to be the CEO, co-founder of Grid 110, and is now head of programs at Slosnikov, a VC fund. And then I had May Muna, who is amazing. She's a refugee. And she started two organizations, one called the Tia Foundation to help refugees in the US. And then she started this... 26:28 restaurant called Flavors From Afar where refugee chefs essentially have their menus every month featured at the restaurant. So like I got to feature these incredible stories and founders and you know, just how they like, May Muna, her Flavors From Afar restaurant is now Michelin like rated, but she was fired from a Carl's Jr. That's like her story. She's like, yeah, I was fired from Carl's Jr. and now I have a Michelin restaurant. 26:54 So where you start and kind of what happens, it's like you just have to keep going. And all of them kind of had stories like that of being like, you know, dismissed somewhere early in their career and just like, keep like, just keep going. And like, Jazzy too, like, you know, she was just like dismissed for being usually the only black female in any room. And now she's the first black person to win an Emmy earlier this year. And it's just like how, you know, yes, in casting, sorry. But yeah, and how that like just 27:23 those stories of how that rises. And I think a lot of people learn from that because a lot of them were just like, you just have to keep trying, or you just have to try something. And if it doesn't work, you know, go a different direction, but fail faster was kind of the message that they were putting out there that like you'll still figure it out and you just have to like have a really supportive community around you. And as long as you have that, like you can just like find the strength to keep going. 27:50 Tudos to you. This is a podcast that is absolutely filled with lots of nuggets, your own story in New York, coming out to LA, you're teaching your own entrepreneurship journey and your passion with respect to the underrepresented, right? And actually putting on events. 28:16 and Female Forward as well as last year in pivoting is thank you for being part of the ecosystem here in Los Angeles and next year I wonder what you're going to do in LA Tech Week. I know this week was pretty burned out still so we'll see. We have time. So you know I'd like to give you the opportunity to provide how my listeners can contact you or how's it best to contact you. 28:46 Um, yeah, I'm on LinkedIn. I'm on Instagram. My Instagram is just my name, Shivani Hanwad. Um, my email is just shivani at shivanilaw.com. So I guess any of those are kind of the best ways to find me or connect with me. 29:01 Okay, and we're going to shift gears back to this sandbox. You are a guest here to the founder sandbox. And again, my mission is to build resilient, scalable, and purpose-driven companies. So I always like to ask each of my guests what the word means, resilience, purpose-driven, and scalable, sustainable businesses. Each of my guests has a different meaning. And it's 29:30 actually one of the highlights of my podcast for me. Okay, so am I doing all three? Yes, you will. Okay. You already talked a little bit about resilience, but what does it mean to you? What does resilience mean to you? Shivani Ha. I think resilience just means to me, it's just like to persevere, to keep going. And I think all of us have our own challenges, obstacles and hardships. And I think finding the strength to just kind of get through those. 29:59 Because you don't always get over everything that you kind of maybe get through in your life, but getting through it is, I guess, the way to look at it in my mind. And then just kind of still making stuff happen, even if it's hard, is the way I look at resilience. To persevere, still making it happen. Thank you. Purpose-driven. You're very purpose-driven. How many back? If we were to scale you. 30:28 Well, purpose-driven, I just find it like, you know, just quick tangent, but like what originally drew me into law school and like wanting to work in the human trafficking space was like, you know, I was caught in these monsoon floods in India when I was working in Bollywood. And I learned about human trafficking and that's kind of what I wanted to work on. And I have worked on it in different ways, like, you know, changing that law in Delaware and then my work on the TVPGA as part of the New York State Trafficking Coalition. 30:58 So I have worked on that. And I just think that's always been kind of my, I guess, anchor point in a way of like a lot of the work or the pro bono work even that I do through my law firm. And part of why I've kept my law firm is because now no one tells me how I get to spend my time or money. I wanna work on representing children that have been trafficked and do those cases pro bono. I can do that. No one's like, no, you need more billable hours. Like it's up to me. 31:26 So I have a couple of nonprofits that I work with that I represent kids that have been trafficked to get them either status here or just like to a safer spot. And I really love that work. So the work I do with the creatives and everything, it kind of funds and provides me the ability to do this other work. So I think purpose-driven is just like figuring out what it is that you're passionate about and what your anchor point is. Like, why are you doing this? Like, what is it that's getting you through and what gets you out of bed? 31:55 Like I get really excited to like work on my clients' cases because I think they're doing really incredible things. Yes. So I think purpose-driven is just like that, like finding what you're passionate about and like how you can have a positive impact in the community. I have goosebumps. I had, you went off on a little tangent. That was a very important tangent and as it is your anchor point. So thank you for sharing, Shivani. Sustainable growth. 32:23 Okay, what's sustainable? So this is something I'm working on now. Yes. I think, you know, for me, I was an accidental law firm founder, you know, that like I kept meeting these people and like that needed help and like I, I never really thought I would start my own law firm. And so I think it's been a journey of figuring out how to like run a law firm and grow it and all of this and like. 32:48 I'm getting to that point where it's like, okay, what am I doing? Am I still doing this? Am I merging it with something else or someone else? And I'm very fortunate to have really great partners. I'm really fortunate to have the opportunity to these couple of law firms have offered for me to merge my law firm with theirs, join them, all of that. So it's figuring that part of it out. But I think, you know, to be sustainable or scalable, I think one thing, especially people who are type A like me, 33:17 that we struggle with is delegating. And that like finding, you know, you're not good at everything. You're not like, the first thing I did was hire a tax guy. Cause I was like, I don't do this. Like I don't know how to do anything tax wise, but it's just like figuring out like, you know, what you're good at and what you're not good at instead of trying to learn everything, figuring out how to delegate or finding team members to help you with the stuff you're not good at. Because I think a lot of people, especially founders try and hold on to everything. 33:46 And that's kind of what leads to burnout because if you're trying to do stuff that you're just not great at, you just always are gonna feel defeated. But if you have other people that are good at that stuff, supporting you in that, and you get to focus on the stuff you're really good at, then that's gonna energize you because then you're being more successful because you're doing the things you're great at. And then you're being supported still by other people. So you have that mental bandwidth to keep doing and keep running in the right direction. 34:14 what the stuff that you're passionate about, you're good at, what you're trying to grow. So I think to be sustainable or scalable, learning how to delegate is a really important skillset that it takes some time and emotional bandwidth to be able to be okay with letting go of something. Cause like most founders, like their companies are their babies. Like they're growing it. And you know, it's just so hard. It's like saying like, 34:44 It's like you're finding a nanny for your child. Like, okay, I'm okay with letting this person do this part of my business. So. Excellent analogy. And it also probably has to do with your own awareness, right? And the maturity of recognizing there are certain things that I just don't wanna do, but I don't like it or I'm not good at it. And the maturity and awareness that it's better done by someone else, right? 35:13 Yes. And I'm also self-employed and, you know, pushing through. And I have also delegated many things. I'm having a fantastic team, the producer of my podcast, and I let them do and tell, I follow their orders to tell you the truth. But you need that sometimes. Sometimes it's easier if someone just tells you what you need to do and then they're just handling the rest. 35:42 Um, and thank you for joining me in the, the, um, founder sandbox podcast this month, you know, um, to my listeners, if you liked this episode with Shivani Han what sign up for the monthly release, um, where founders, business owners, corporate directors and professional service providers provide their own origin stories. And they tell their stories about resilience purpose driven and scalable. 36:11 Thank you again. You can listen to these episodes on any major podcast streaming service. Signing off for this month. Thank you. Thanks, Brenda.  

With just two weeks to go in Ontario's election, The Canadian Press Queen's Park reporter Liam Casey joins Rob Westgate to discuss the key storylines to emerge so far, including the focus on tariffs with the United States and why -- unlike many provincial elections -- this campaign is of growing interest across Canada. They also talk about the upcoming debates and whether the unusual move to call a snap winter election could actually backfire on Progressive Conservative Leader Doug Ford. For the latest and most important news of the day | https://www.thecanadianpressnews.ca To watch daily news videos, follow us on YouTube | https://www.youtube.com/@CdnPress The Canadian Press on X (formerly Twitter) | https://twitter.com/CdnPressNews The Canadian Press on LinkedIn | https://linkedin.com/showcase/98791543  

Adam and Chris Distefano discuss farts and their intrinsic comedic qualities. Then they dive into Chris' upcoming special IT'S JUST UNFORTUNATE premiering on Hulu February 21st. After that they discuss how America is number 1 and Adam should've retired years ago. Later, Jason “Mayhem” Miller jumps in as the gang tackles some of the day's biggest stories: a viral video of an Alaska Airlines flight attendant taking down an unruly passenger mid-air, Trump's call to end the penny, and the Colombian president comparing cocaine to whiskey. Wrapping things up, Batman's original Boy Wonder, Burt Ward, Zooms in to share stories from the iconic 1966 TV series, his experience with Comic-Con, and his incredible work with Gentle Giants, a charity that's helped over 1,500 animals find loving homes. For more with Chris Distefano: TWITTER: @chrisdcomedy INSTAGRAM: @chrisdcomedy WEBSITE: https://www.chrisdcomedy.com TOUR DATES: https://www.chrisdcomedy.com/tickets February 26th - HISTORY HYENAS LIVE - GOTHAM COMEDY CLUB - NEW YORK March 14th - TAMPA THEATER - TAMPA, FL March 15th - PLAZA LIVE - ORLANDO, FL September 11th - MADISON SQUARE GARDEN - NEW YORK CITY, NY For more with Burt Ward: INSTAGRAM: @boy_wonder_and_ww_robinsgirl WEBSITE: https://www.gentlegiantsdogfood.com Thank you for supporting our sponsors: adamandeve.com/ace Homes.com oreillyauto.com/ADAM Shopify.com/carolla

Final hour of the show and Peter Burns filling in for Paul takes nothing but your phone calls and Zooms.. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the throes of everything 2025 is throwing at us, we're discussing how we approach wellness and the small things we do to take care of ourselves (at least a little bit!!!). Major thanks to OSEA for bringing us this episode—10% off your first order with the code ATHINGORTWO!   Can we start with some praise for OSEA's Undaria Algae Body Butter? It absorbs quickly, it feels excellent, and it's making Claire actually moisturize every day.   Claire is also exercising with Cam, opting for phone calls over Zooms, going on “do not disturb” more often, making lunchbox drawings, and watching TV on her phone while doing other things.   Erica's getting an actual desk setup, eating a fulfilling lunch (shoutout to Chris Gayomali's Heavies Substack about soup), revisiting her five-year journal, maintaining a saved sentence archive practice, and having high-end fun and heavy snacks.    How are you taking extra care of yourself right now? Let us know at 833-632-5463, podcast@athingortwohq.com, @athingortwohq, or in our Geneva.   Give your skin a New Year glow-up with clean, clinically tested skincare from OSEA and get 10% off your first order sitewide with code ATHINGORTWO. YAY.  

In the horror film Smile 2, pop star Skye Riley, preparing for a world tour, encounters a troubled friend who passes on the sinister "Smile" curse. As Skye's life spirals into chaos and her sanity deteriorates, she must confront the terrifying entity and its deadly grip before it consumes her and everyone around her. Cinematographer Charlie Sarroff and director Parker Finn wanted to be sure that the sequel to Smile was more than just a rehash of the same basic idea. They wanted to push and elevate the basic storyline into something bigger, while keeping what worked in the first film intact. Smile 2 definitely has a much bigger scale, with stage lighting and live performance sequences for pop star Skye Riley (Naomi Scott). Early on, Charlie knew he would have to film and light stage performances. He worked closely with lighting designer Brian Spett to get the stage lighting just right. Together, Charlie, Finn, and production designer Lester Cohen created a color palette consisting of reds with silver and blue elements. “Being a cinematographer is about surrounding yourself with great people and then asking them for help,” says Charlie. Charlie wanted some scenes to “bloom” more, almost so that they looked overexposed. Some parts of Smile 2 were shot on Kodak film to create this effect, and then the film went through a skip bleach process to add to the bloom effect. Then the film was outputted to digital for mastering and further color correction to really make the reds pop. Charlie feels that the process adds a lot to the look. “It smooths out the film, and adds twinkle to the lights. It just infuses into the image a little bit more. I think it can help effects and makeup, too, without being super grainy.” Smile 2 used many of the same camera movements and lenses as Smile, including plenty of zooms to add to the discomfort. Charlie used a very specific lens for people with the smiling curse. “I shot each smile on a very wide lens, a 28mm- when you're that close up on that lens, it makes people feel extremely uncomfortable. We never used long lenses,” he adds. “I used a lot of zooms, for specific moments when heavy things are going down to hone in on something. Zooms provoke a different emotion, especially at the end (of the film.) Zooming in shows that Skye is getting closer to the curse.” Smile 2 is in theaters now. Find Charlie Sarroff: https://charliesarroff.com/ Instagram: @charliesarroff Hear our previous interview with Charlie Sarroff on Smile: https://www.camnoir.com/ep187/ Sponsored by Hot Rod Cameras: https://hotrodcameras.com/ Sponsored by ARRI The Cinematography Podcast website: www.camnoir.com Facebook: @cinepod Instagram: @thecinepod Twitter: @ShortEndz

Nate thinks the Commanders are one of the best teams in the NFL

Alaska exposed as state with the highest rate of women killed by men in the nation, Harris releases campaign agenda for Black men, pushback against racism's classification as health threat, and the resurfaced story of the soul group Superiors. DeRay interviews New York State Senator Zellnor Myrie about his ongoing Congressional efforts and NYC mayoral campaign.  NewsDomestic Violence, Child Abuse and DUI Cases Are Being Dismissed en Masse in AnchorageHarris releases agenda for Black men as she ramps up effort to court themRacism was called a health threat. Then came the DEI backlash.A Truth of Self: The Story of the Dynamic Superiors Follow @PodSaveThePeople on Instagram.  

We blast into a Star-Trek tech-like era right away with our special guest, Robin Blanc Mascari! Having just turned 70, Robin has the spunk and compunction of a global entrepreneur over half her age - and she's actually getting healthier, stronger, and sleeping better focussed thanks to the X39 and other all-natural, wearable med bed patches!    After having run a worldwide training empire for NY Times Best Selling Author Stephen Covey, just 5 years ago she found herself suffering a horrific injury causing her to face down a monstrously expensive medical procedure - both her life and her finances changed for the better when a friend gave her the X39 wellness patch.  This 70yr old grandmother has now launched a successful X39 empire with over 250,000 customers and distributors globally -- all from her phone and laptop in a cabin in Montana... . POWERFUL X39 wellness Patch naturally activates  your STEM CELLS! Developed for

West Point Graduates and War Heroes, connect with USARF LT.GEN Thomas McInerney (Ret) and US-Army MAJ. GEN Paul E Vallely (Ret), plus order their books, donate, and access their weekly published articles at

Follow Scott LoBaido on X https://x.com/ScottLoBaido  Browse Scott's Patriot Artwork https://ScottLoBaido.com  .

FREE Pastor Artur on his Sept 10th Appeal and FREE the Coutts 2 on Sept 9th! Let Them Hear You! FLOOD the PHONES 4 Freedom as they want to throw them all in Maximum Security Prison for 10 years on September 9th! *Canadian Crown Corporation Prosecutor Steven Johnston Call now

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Sherri Divband is a multi-time best-selling childrens author, Reiki Master, Intuitive, and mother of 3.  She and her husband have launched Aramais Learning Centers, putting the creativity and soul-level empowerment first with the children.  She joins THE SOVEREIGN SOUL SHOW host Brad Wozny to discuss the future of our children's education, shifting in the cosmic timelines and how we can learn from the kids as adults to aid our ascension.  .

Breaking own a pair of jeans, Tailoring, Business Talking, the Persistence of Zooms, and Instagram Purchases. PANTS with Kate Moennig and Leisha Hailey is produced by Valerie Hurt   Video Editing by Ana Rezende     Sound Mixing and Editing by Jaime Sickora  Executive Produced by Katie Rhodes and Peg Donegan  Our music is by Carol Parr @csssuxxxSee omnystudio.com/listener for privacy information.

Republican men used to be stoic and quiet technocrats, but now they're screechy and freaky. Meanwhile, Kamala Harris has a whole crop of strong, silent types to choose from as a running mate.  Plus, a shout-out to Charlie Sykes, movies Tim hasn't seen, and can we quit the identity-oriented Zooms for Kamala? Tom Nichols joins Tim Miller. show notes: Tom's piece on the manliness flip-flop Tom's piece on Biden stepping aside Charlie on how Never Trumpers really mean never Trump's 400 kids remark