Podcasts about UI

First things first: David and Nilay are both having some TV problems, and they need to talk it out. But then they get to the news of the week, including Samsung's new extra-foldy foldable phone, and a big change in the design departments at both Apple and Meta. What does it all say about the future of smart glasses? After that, the hosts talk through why Sam Altman declared a code red inside of OpenAI in order to redirect focus to ChatGPT — and whether the technology that has made all these products possible is actually the right technology moving forward. Finally, in the lightning round, it's time for Brendan Carr is a Dummy, recap season, "dear algo," and thermostats. Further reading: Samsung's Z TriFold is official and it looks like a tablet with a phone attached  Huawei tris again.  Huawei's first trifold is a great phone that you shouldn't buy  Apple's head of UI design is leaving for Meta  Apple AI chief steps down following Siri setbacks  Louie Mantia's blog post about Dye Zuck's post about the new team Linux usage on Steam hits a record high for the second month in a row  OpenAI declares ‘code red' as Google catches up in AI race  OpenAI just made another circular deal  Anthropic's AI bubble ‘YOLO' warning  Anthropic's racing OpenAI to go public  Normalizing extraterrestrial data centers I tested five AI browsers and lost my mind in the process The AI boom is based on a fundamental mistake Ilya Sutskever – We're moving from the age of scaling to the age of research FCC boss Brendan Carr claims another victory over DEI as AT&T drops programs First there was nothing, then there was Hoto and Fanttik This new Honeywell Home smart thermostat can answer your Ring doorbell Spotify Wrapped 2025 turns listening into a competition  YouTube introduces its own version of Spotify Wrapped for videos  Amazon Music Delivered puts your top tunes on a festival poster.  Google Photos Recap will tell you how many selfies you took this year “Dear algo.”  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Thanksgiving is over and Dave and I are back at it! We have a great conversation about sharing some time with family over the holidays, a router failure and then dive into some big Apple topics. Apple's VP of AI is retiring (finally) and Apple is revamping the entire team. Another Apple executive is leaving the company for Meta—Alan Dye who was responsible for UI is leaving, although some are not dissapointed. Brought to you by: Surfshark VPN: Go to https://surfshark.com/dalrymple or use code dalrymple at checkout to get 4 extra months of Surfshark VPN! Show Notes: Apple to Revamp AI Team After Announcing Top Executive's Departure Apple UI Design Chief Alan Dye Leaving for Meta Meta plans to launch a creative studio that will be led by former Apple UI designer Alan Dye iPhone 17 Demand Is Breaking Apple's Sales Records Naming the Random Street Near the Dumpsters Apple's Founding Papers Return to Auction, Could Fetch Up to $4 Million Shows and movies we're watching The Control Room, BritBox HBO Max Butchers 'Mad Men' in Botched 'Remastering' Beatles anthology, Disney+. My Life as a Rolling Stone, MGM+

We discuss FluxPose potentially becoming the spiritual successor to Lighthouse body tracking, GravityXR building a chip to enable ultralight headsets, reports that Meta Reality Labs is facing a budget cut, and Apple's Head of UI leaving to lead design at Meta.Here's the full topic list, in order:1. Quest Gets Second Exclusive 'Avatar: Fire and Ash' Clip2. Visiting Meta's Los Angeles Store3. FluxPose Could Be The Spiritual Successor To Lighthouse Body Tracking4. GravityXR Builds Chip To Enable Ultralight Headsets5. Meta's Smart Glasses SDK Now Available To Build With6. Meta Reality Labs Reportedly Facing Up To 30% Budget Cut7. Apple's Head Of UI Leaves To Lead Design At Meta Reality Labs

Send us a text!Watch this episode on YouTubeThis week, it's the biggest brain drain at Apple for decades — and a lot of Apple fans are celebrating! Also: Intel is coming back to the Mac (but it's not what you think!) and another pedantic Mac question only Griffin can answer. This episode supported by:Listeners like you. Your support helps us fund CultCast Off-Topic, a new weekly podcast of bonus content available for everyone; and helps us secure the future of the podcast. You also get access to The CultClub Discord, where you can chat with us all week long, give us show topics, and even end up on the show. Support The CultCast at support.thecultcast.com — or unsubscribe at unfork.thecultcast.comCultCloth will keep your iPhone, MacBook, display, guitars, glasses and lenses sparkling clean! For a limited time use code CULTCAST at checkout to score a two free CarryCloths with any order $20+ at CultCloth.coNordLayer is an easy to use and easy to set up security platform for businesses. Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code cultcast-28. Try it risk-free with a 14-day money-back guarantee at nordlayer.com/cultcast.This week's stories:Apple design chief quits for Meta. Some say good riddance!Social media users responded to big news that Alan Dye will join Meta with Liquid-Glass-focused sarcasm. Is it really such a big loss?Meet Apple's new UI chief, the man Steve Jobs called ‘Margaret'Meet Steve Lemay, the new head of user interface design at Apple, and learn why Steve Jobs called him “Margaret.”Apple replaces AI chief, taps ex-Googler to fix Apple IntelligenceApple's AI chief is out after a string of failures. Learn about the new leadership for the company's critical AI development efforts.Macs might soon have Intel inside again — but there's a twistIn a surprising shift in Apple's chip strategy, Intel will reportedly fabricate low-end M-series chips for future MacBook Air and iPad Pro.How to find your music stats with Apple Music Replay 2025Apple Music Replay is where you find your most-played songs, artists and albums from 2025. Here's how to find it.Griffin on Apple MusicLewis on Apple MusicLeander on Apple Music

Lex is decking the halls. Sean searches for mistletoe. No, wait. That is later in the month. Right now, housing is the talk of the town! Midnight continues to develop with news that is giving Sean reason to cheer. The schedule for season 1 of Midnight is revealed as Sean worries for the poor 0.1%. News Housing 1st Impressions The talk of the town is the town as Warcraft early access opens up to all who have purchased the upcoming Midnight expansion. Links Housing Early Access Trailer | World of Warcraft: MidnightWhat's Next for WoW Housing? Interview with Devs Jay Hwang and Garth DeAngelis 11.2.7 is Here The prologue to the midnight expansion is live in NA and EU. Midnight Prologue CampaignRevamped New and Returning Player ExperienceLorewalking: ElvesPandaren Heritage ArmorTurbulent Timeways (through to Feb 9th)Brawler's Guild (Next Week) Links https://worldofwarcraft.blizzard.com/en-us/news/2424444211.2.7 The Warning Launch Trailer | World of Warcraft Dungeon Philosophy in Action Changes to the dungeons begin reflecting the team's new philosophies. Standardized short castImportant casts with 4 sec or greater cast timeReduced number of castersBolt-slop reduced damageAnti Focus Fire behaviorCast Audio Notification (player and target) Links New Interrupt Philosophy Showcased in Midnight's Mythic+ Testing - Wowhead News Seeing Red Combat Addons are still allowed to provide a competitive advantage as Blizzard reneges on the entire reason for the addon de-escalation. Through a use of conditionals Platynator was able to color code:BossesLieutenantsCastersMeleeMinor enemiesCasters would only change to their colour when they first cast an interruptible spell.Blizzard has said this is okay but has not made any commitment to put this functionality into the default UI.  Links Color-Coding Enemy Nameplates is Returning in Midnight - Wowhead News Midnight Epic Edition Contest is over Congratulations to Pandachow, NickBeresford, and Random.ffxiv

How to Build a Winning Strategy for Your B2B Brand In a fast-paced business environment, marketers, agencies, and consultants must proactively help clients differentiate their brands in the marketplace. One way of doing this is by analyzing the strategy, messaging, and brand positioning, both for their own brands and key competitors. So how can teams conduct this kind of brand research and competitive analysis in a way that's insightful, efficient, and actionable for planning the next steps? Tune in as the B2B Marketers on Mission Podcast presents the Marketing DEMO Lab Series, where we sit down with Clay Ostrom (Founder, Map & Fire) and his SmokeLadder platform designed for brand research, messaging and positioning analysis, and competitive benchmarking. In this episode, Clay explained the platform's origins and features, emphasizing its role in analyzing brand positioning, core messaging, and competitive landscapes. He also stressed the importance of clear, consistent brand positioning and messaging, and how standardized make it easier to compare brands across multiple business values. Clay also highlighted the value of objective, data-driven analysis to identify brand strengths, weaknesses, and gaps, and how tools like SmokeLadder can save significant time in gathering insights to build trust with clients. He provided practical steps for generating, refining, and exporting brand messaging and analysis for internal or client-facing use. Finally, Clay also discussed how action items and recommendations generated from analysis can immediately support smart brand strategy decisions and expedite trust-building with clients. https://www.youtube.com/watch?v=h4_o1PzF1Kk Topics discussed in episode: [1:31] The purpose behind building SmokeLadder and why it matters for B2B teams [12:00] A walkthrough of the SmokeLadder platform and how it works [14:51] SmokeLadder's core features [17:48] How positioning scores and category rankings are calculated [35:36] How differentiation and competitors are analyzed inside SmokeLadder [44:07] How SmokeLadder builds messaging and generates targeted personas [50:24] The key benefits and unique capabilities that set SmokeLadder apart Companies and links: Clay Ostrom Map & Fire SmokeLadder Transcript Christian Klepp  00:00 In an increasingly competitive B2B landscape, marketers, agencies and consultants, need to proactively find ways to help their clients stand out amidst the digital noise. One way of doing this is by analyzing the strategy, messaging and positioning of their own brands and those of their competitors. So how can they do this in a way that’s insightful, efficient and effective? Welcome to this first episode of the B2B Marketers in the Mission podcast Demo Lab Series, and I’m your host, Christian Klepp. Today, I’ll be talking to Clay Ostrom about this topic. He’s the owner and founder of the branding agency Map and Fire, and the creator of the platform Smoke Ladder that we’ll be talking about today. So let’s dive in. Christian Klepp  00:42 All right, and I’m gonna say Clay Ostrom. Welcome to this first episode of the Demo Lab Series. Clay Ostrom  00:50 I am super excited and very honored to be the first guest on this new series. It’s awesome. Christian Klepp  00:56 We are honored to have you here. And you know, let’s sit tight, or batten down the hatches and buckle up, and whatever other analogy you want to throw in there, because we are going to unpack a lot of interesting features and discuss interesting topics around the platform that you’ve built. And I think a good place to start, perhaps Clay before we start doing a walk through of the platform is, but let’s start at the very beginning. What motivated you to create this platform called Smoke Ladder. Clay Ostrom  01:31 So we should go all the way back to my childhood. I always dreamed of, you know, working on brand and positioning. You know, that was something I’ve always thought of since the early days, but no, but I do. I own an agency called Map and Fire, so I’ve been doing this kind of work for over 10 years now, and have worked with lots and lots of different kinds of clients, and over that time, developed different frameworks and a point of view about how to do this kind of work, and when the AI revolution kind of hit us all, it just really struck me that this was an opportunity to take a lot of that thinking and a lot of that, you know, again, my perspective on how to do this work and productize that and turn it into something that could be used by people when we’re not engaged with them, in some kind of service offering. So, so that was kind of the kernel of it. I actually have a background in computer science and product. So it was sort of this natural Venn diagram intersection of I can do some product stuff, I can do brand strategy stuff. So let’s put it together and build something. Christian Klepp  02:46 And the rest, as they say, is history. Clay Ostrom  02:49 The rest, as they say, is a lot of nights and weekends and endless hours slaving away at trying to build something useful. Christian Klepp  02:58 Sure, sure, that certainly is part of it, too. Clay Ostrom  03:01 Yeah. Christian Klepp  03:02 Let’s not keep the audience in suspense for too long here, right? Like, let’s start with the walk through. And before you share your screen, maybe I’ll set this up a little bit, right? Because you, as you said, like, you know, you’ve built this platform. It’s called Smoke Ladder, which I thought was a really clever name. It’s, you like to describe it as, like, your favorite SEO (Search Engine Optimization) tool, but for brand research and analysis. So I would say, like, walk us through how somebody would use this platform, like, whether they be a marketer that’s already been like in the industry for years, or is starting out, or somebody working at a brand or marketing agency, and how does the platform address these challenges or questions that people have regarding brand strategy, analysis and research? Clay Ostrom  03:49 Yeah, yeah. I use that analogy of the SEO thing, just because, especially early on, I was trying to figure out the best way to describe it to someone who hasn’t seen it before. I feel like it’s a, I’m not going to fall into the trap of saying, this is the only product like this, but it has its own unique twists with what it can do. And I felt like SEO tools are something everybody has touched at one point or another. So I was using this analogy of, it’s like the s, you know, Semrush of positioning and messaging or Ahrefs, depending on your if you’re a Coke or Pepsi person. But I always felt like that was just a quick way to give a little idea of the fact that it’s both about analyzing your own brand, but it’s also about competitive analysis and being able to see what’s going on in the market or in your landscape, and looking specifically at what your competitors are doing and what their strengths and weaknesses are. So does that resonate with you in terms of, like, a shorthand way, I will say, I don’t. I don’t say that. It’s super explicitly on the website, but it’s been in conversation. Christian Klepp  05:02 No, absolutely, absolutely, that resonated with me. The only part that didn’t resonate with me is that I’m neither a coke or a Pepsi person. I’m more of a ginger ale type of guy. I digress. But yeah, let’s what don’t you share your screen, and let’s walk through this, right? Like, okay, if a marketing person were like, use the platform to do some research on, perhaps that marketers, like own company and the competitors as well, right? Like, what would they do? Clay Ostrom  05:32 Yeah, so that’s, that is, like you were saying, there’s, sort of, I guess, a few different personas of people who would potentially use this. And initially I was thinking a little more about both in house, people who, you know, someone who’s working on a specific brand, digging really deep on their own brand, whether they’re, you know, the marketing lead or whatever, maybe they’re the founder, and then this other role of agency owners, or people who work at an agency where they are constantly having to look at new brands, new categories, and quickly get up to speed on what those brands are doing and what’s the competitive space look like, you know, for that brand. And that’s something that, if you work at an agency, which obviously we both have our own agencies, we do this stuff weekly. I mean, every time a new lead comes in, we have to quickly get up to speed and understand something about what they do. And one of the big gaps that I found, and I’d be curious to kind of hear your thoughts on this, but I’ve had a lot of conversations with other agency owners, and I think one of the biggest gaps is often that brands are just not always that great at explaining their own brand or positioning or differentiation to you, and sometimes they have some documentation around it, but a lot of times they don’t. A lot of it’s word of mouth, and that makes it really hard to do work for them. If whatever you’re doing for them, whether that’s maybe you are working on SEO or maybe you’re working on paid ads or social or content, you have to know what the brand is doing and kind of what they’re again, what their strengths and weaknesses are, so that you can talk about that. I mean, do you come across that a lot in your work? Christian Klepp  07:33 How do I say this without offending anybody? I find, I mean jokes aside, I find, more often than not, in the especially in the B2B space, which is an area that I operate in, I find 888 point five times out of 10. We are dealing with companies that have a they, have a very rude, rudimentary, like, framework of something that remotely resembles some form of branding. And I know that was a very long winded answer, but it’s kind of sort of there, but not really, if you know what I mean. Clay Ostrom  08:17 Yeah. Christian Klepp  08:17 And there have been other extreme cases where they’ve got the logo and the website, and that’s as far as their branding goals. And I would say that had they had all these, this discipline, like branding system and structure in place, then people like maybe people like you and I will be out on a job, right and it’s something, and I’m sure you’ve come across this, and we’ll probably dig into this later, but like you, it’s something I’ve come across several times, especially in the B2B space, where branding is not taken seriously until it becomes serious. I know that sounds super ironic, right, but, and it’s to the point of this platform, right, which we’re going to dig into in a second, but it’s, it’s things, for instance, positioning right, like, are you? Are you, in fact, strategically positioned against competitors? Is your messaging resonating with, I would imagine, especially in the B2B context, with the multiple group target groups that you have, or that your company is, is going after? Right? Is that resonating, or is this all like something that I call the internal high five? You’ve this has all been developed to please internal stakeholders and and then you take it to market, and it just does not, it just does not resonate with the target audience at all. Right? So there’s such a complex plethora of challenges here, right? That people like yourself and like you and I are constantly dealing with, and I think that’s also part of the reason why I would say a platform like this is important, because it helps to not just aggregate data. I mean, certainly it does that too, but it helps. To put things properly, like into perspective at speed. I think that might be, that might be something that you would have talked about later, but it does this at speed, because I think, from my own experience, one of the factors in our world that sometimes works against us is time, right? Clay Ostrom  10:19 No, I totally agree, yeah, and, you know, we’re lucky, I guess would be the word that we are often hired to work on a company strategy with them and help them clarify these things. Christian Klepp  10:33 Absolutely. Clay Ostrom  10:34 There are a million other flavors of agencies out there who are being hired to execute on work for a brand, and not necessarily being brought in to redefine, you know what the brand, you know they’re positioning and their messaging and some of these fundamental things, so they’re kind of stuck with whatever they get. And like you said, a lot of times it’s not much. It might be a logo and a roughly put together website, and maybe not a whole lot else. So, yeah, but I think your other point about speed is that was a huge part of this. I think the market is only accelerating right now, because it’s becoming so much easier to start up new companies and new brands and new products. And now we’ve got vibe coding, so you can technically build a product in a day, maybe launch it the next day, start marketing it, you know, by the weekend. And all of this is creating noise and competition, and it’s all stuff that we have to deal with as marketers. We have to understand the landscape. We’ve got to quickly be able to analyze all these different brands, see where the strengths and weaknesses are and all that stuff. So… Christian Klepp  11:46 Absolutely. Clay Ostrom  11:46 But, yeah, that, I think that the speed piece is a huge part of this for sure. Christian Klepp  11:51 Yeah. So, so we’re okay, so we’re on the I guess this, this will probably be the homepage. So just walk us through what, what a marketing person would do if they want to use this platform, yeah? Clay Ostrom  12:00 So the very first thing you do when you come in, and this was when I initially conceived of this product, one of the things that I really wanted was the ability to have very quick feedback, be able to get analysis for whatever brand you’re looking at, you know, right away to be able to get some kind of, you know, insight or analysis done. So the first thing you can do, and you can do this literally, from the homepage of the website, you can enter in a URL for a brand, come into the product, even before you’ve created an account, you can come in and you can do an initial analysis, so you can put in whatever URL you’re looking at, could be yours, could be a competitor, and run that initial analysis. What we’re looking at here, this is, if you do create an account, this is, this becomes your, as we say, like Home Base, where you can save brands that you’re looking at. You can see your history, all that good stuff. And it just gives you some quick bookmarks so that you can kind of flip back and forth between, maybe it’s your brand, maybe it’s some of the competitors you’re looking at and then it gives you just some quick, kind of high level directional info. And I kind of break it up into these different buckets. Clay Ostrom  13:23 And again, I’d love to kind of hear if this is sort of how you think about it, too. But there’s sort of these different phases when you’re working on a brand. And again, this is sort of from an agency perspective, but you first got the sort of the research and the pitch piece. So this is before maybe you’re even working with them. You’re trying to get an understanding of what they do. Then we have discovery and onboarding, where we’re digging in a little bit deeper. We’re trying to really put together, what does the brand stand for, what are their strengths and weaknesses? And then we have the deeper dive, the strategy and differentiation. And this is where we’re really going in and getting more granular with the specific value points that they offer, doing some of that messaging analysis, finding, finding some of the gaps of the things that they’re talking about or not talking about, and going in deeper. So it kind of break it up into these buckets, based on my experience of how we engage with clients. Does that? Does that make sense to you, like, does that? Christian Klepp  14:28 It does make sense, I think. But what could be helpful for the audience is because this, this almost looks like it’s a pre cooked meal. All right, so what do we do we try another I mean, I think you use Slack for the analysis. Why don’t we use another brand, and then just pop it into that analysis field, and then see what it comes out with. Clay Ostrom  14:51 So the nice thing about this is, if you are looking at a brand that’s been analyzed, you’re going to get the data up really quickly. It’ll be basically pop up instantly. But you can analyze a brand from scratch as well. Just takes about a minute or so, basically, to kind of do some of the analysis. So for the sake of a demo, it’s a little easier just to kind of look at something that we’ve got in there. But if it’s a brand that you know, maybe you’re looking at a competitor for one of your brands, you know, there’s a good chance, because we’ve got about 6000 brands that we’ve analyzed in here, that there’s a good chance there’ll be some info on them. But so this is pipe drive. So whoever’s not familiar Pipedrive is, you know, it’s a CRM  (Customer Relationship Management), it’s, it’s basically, you know, it’s a lighter version of a HubSpot or Salesforce basically track deals and opportunities for business, but this so I flipped over. I don’t know if it was clear there, but I flipped over to this brand brief tab. And this is where we we get, essentially, a high level view of some key points about the brand and and I think about this as this would be something that you would potentially share with a client if you were, you know, working with them and you wanted to review the brand with them and make sure that your analysis is on point, but you’ll see it’s kind of giving you some positioning scores, where you rank from a category perspective, message clarity, and then we’ve got things like a quick overview, positioning summary, who their target persona is, in this case, sales manager, sales operation lead, and some different value points. And then it starts to get a little more granular. We get into like key competitors, Challenger brands. We do a little SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and then maybe one of the more important parts is some of these action items. So what do we do with this? Yeah, and obviously, these are, these are starting points. This is not, it’s not going to come in and, you know, instantly be able to tell you strategically, exactly what to do, but it’s going to give you some ideas of based on the things we’ve seen. Here are some reasonable points that you might want to be looking at to, you know, improve the brand. Make it make it stronger. Christian Klepp  17:13 Gotcha. Gotcha. Now, this is all great clay, but like, I think, for the benefit of the audience, can we scroll back up, please. And let’s just walk through these one by one, because I think it’s important for the audience/potential future users,/ customers of Smoke Ladder, right? To understand, to understand this analysis in greater depth, and also, like, specifically, like, let’s start with a positioning score right, like, out of 100 like, what is this? What is this based on? And how was this analyzed? Let’s start with that. Clay Ostrom  17:48 Yeah, and this is where the platform really started. And I’m going to actually jump over to the positioning tab, because this will give us the all the detail around this particular feature. But this is, this was where I began the product this. I kind of think of this as being, in many ways, sort of the heart and soul of it. And when I mentioned earlier about this being based on our own work and frameworks and how we approach this, this is very much the case with this. This is, you know, the approach we use with the product is exactly how we work with clients when we’re evaluating their positioning. And it’s, it’s basically, it’s built off a series of scores. And what we have here are 24 different points of business value, which, if we zoom in just a little bit down here, we can see things like reducing risk, vision, lowering cost, variety, expertise, stability, etc. So there’s 24 of these that we look at, and it’s meant to be a way that we can look across different brands and compare and contrast them. So it’s creating, like, a consistent way of looking at brands, even if they’re not in the same category, or, you know, have slightly different operating models, etc. But what we do is we go in and we score every brand on each of these 24 points. And if we scroll down here a little bit, we can see the point of value, the exact score they got, the category average, so how it compares against, you know, all the other brands we’ve analyzed, and then a little bit of qualitative information about why they got the score. Christian Klepp  19:27 Sorry, Clay, Can I just jump in for a second so these, these attributes, or these key values that you had in the graph at the top right, like, are these consistent throughout regardless of what brand is being analyzed, or the least change. Clay Ostrom  19:42 It’s consistent. Christian Klepp  19:43 Consistent? Clay Ostrom  19:44 Yeah, and that was one of the sort of strategic decisions we had to make with the product. Was, you know, there’s a, maybe another version of this, where you do different points depending on maybe the category, or, you know, things like that. But I wanted to do it consistent because, again, it allows us to look at every brand through the same lens. It doesn’t mean that every brand you know there are certain points of value that just aren’t maybe relevant for a particular brand, and that’s fine, they just won’t score as highly in those but at least it gives us a consistent way to look at so when you’re looking at 10 different competitors, you know you’ve got a consistent way to look at them together,. Christian Klepp  20:26 Right, right, right. Okay, okay, all right, thanks for that. Now let’s go down to the next section there, where you’ve got, like this table with like four different columns here. So you mentioned that these are being scored against other brands in their category. Like, can you share it with the audience? Like, how many other brands are being analyzed here? Clay Ostrom  20:51 Yeah, well, it depends on the category. So again, we’ve got six, you know, heading towards 7000 brands that we’ve analyzed collectively. Each category varies a little bit, but, you know, some categories, we have more brands than others. But what this allows us to do is, again, to quickly look at this and say, okay, for pipe drive, a big focus for pipe drive is organization, simplification. You know, one of their big value props is we’re an easier tool to use than Salesforce or HubSpot. You can get up to speed really quickly. You don’t have all the setup and configurations and all that kind of stuff. So this is showing us that, yes, like their messaging, their content, their brand, does, in fact, do a good job of making it clear that simplicity is a big part of pipe drive’s message. And they do that by talking about it a lot in their messaging, having case studies, having testimonials, all these things that support it. And that’s how we come up with these scores. Is by saying, like the brand emphasizes these points well, they talk about it clearly, and that’s what we base it on. Christian Klepp  22:04 Okay, okay. Clay Ostrom  22:06 But as you come, I was just gonna say as you come down here, you can see, so the green basically means that they score well above average for that particular point. Yellow is, you know, kind of right around average, or maybe slightly above, and then red means that they’re below average for that particular point. So for example, like variety of tools, they don’t emphasize that as much with pipe drive, maybe compared to, again, like a Salesforce or a HubSpot that has a gazillion tools, pipe drive, that’s not a big focus for them. So they don’t score as highly there, but you can kind of just get a quick view of, okay, here are the things that they’re really strong with, and here are the things that maybe they’re, you know, kind of weak or below average. Christian Klepp  22:58 Yeah, yeah. Well, that’s certainly interesting, because I, you know, I’ve, I’ve used the, I’ve used the platform for analyzing some of my clients, competitor brands. And, you know, when I’m looking at this, like analysis with the scoring, with the scoring sheet, it, I think it will also be interesting perhaps in future, because you’ve got a very detailed breakdown of, okay, the factors and how they’re scored, and what the brand value analysis is also, because, again, in the interest of speed and time, it’d be great if the platform can also churn out maybe a one to two sentence like, summary of what is this data telling us, right? Because I’m thinking back to my early days as a product manager, and we would spend hours, like back then on Excel spreadsheets. I’m dating myself a little bit here, but um, and coming up with this analysis and charts, but presenting that to senior management, all they wanted to know was the one to two sentence summary of like, come on. What are you telling me with all these charts, like, what is the data telling you that we need to know? Right? Clay Ostrom  24:07 I know it’s so funny. We again, as strategists and researchers, we love to nerd out about the granular details, but you’re right. When you’re talking to a leader at a business, it does come down to like, okay, great. What do we do? And so, and I flipped back over to slacks. I knew I had already generated this but, but we’re still in the positioning section here, but we have this get insights feature. So basically it will look at all those scores and give you kind of, I think, similar to what you’re describing. Like, here’s three takeaways from what we’re seeing. Okay, okay, great, yeah, so we don’t want to leave you totally on your own to have to figure it all out. We’ll give you, give you a little helping hand. Christian Klepp  24:53 Yeah. You don’t want to be like in those western movies, you’re on your own kid. Clay Ostrom  24:59 Yeah. We try not to strand you again. There’s a lot of data here. I think that’s one of the strengths and and challenges with the platform, is that we try to give you a lot of data. And for some people, you may not want to have to sift through all of it. You might want just sort of give me the three points here. Christian Klepp  25:19 Absolutely, absolutely. And at the very least they can start pointing you in the right direction, and then you could be, you could then, like, through your own initiative, and perhaps dig a little bit deeper and perhaps find some other insights that may be, may be relevant, right? Clay Ostrom  25:35 Totally. Christian Klepp  25:36 Hey, it’s Christian Klepp here. We’ll get back to the episode in a second. But first, I’d like to tell you about a new series that we’re launching on our show. As the B2B landscape evolves, marketers need to adapt and leverage the latest marketing tools and software to become more efficient. Enter B2B Marketers on a Mission Marketing Demo Lab where experts discuss the latest tools and software that empower you to become a better B2B marketer. Tune in as we chat with product experts. Provide unbiased product reviews, give advice and deliver insights into real world applications and actionable tips on tools and technologies for B2B marketing. Subscribe to the Marketing Demo Lab, YouTube channel and B2B Marketers on a Mission, on Apple podcasts, Spotify, or wherever you get your favorite podcasts. Christian Klepp  26:21 All right. Now, back to the show, if we can, if we could jump back, sorry, to the, I think it was the brand brief, right? Like, where we where we started out, and I said, let’s, let’s dig deeper. Okay, so then, then we have, okay, so we talked about positioning score. Now we’re moving on to category rank and message clarity score. What does that look like? Clay Ostrom  26:41 Yeah. So the category rank is, it’s literally just looking at the positioning score that you’ve gotten for the brand and then telling you within this category, where do you sort of fall in the ranking, essentially, or, like, you know, how do we, you know, for comparing the score against all the competitors, where do you fall? So you can see, with Slack, they’re right in the middle. And it’s interesting, because with a product like Slack, even though we all now know what slack is and what it does and everything. Christian Klepp  27:18 Yeah. Clay Ostrom  27:19 The actual messaging and content that they have now, I think maybe doesn’t do as good of a job as it maybe did once upon a time, and it’s gotten as products grow and brands grow, they tend to get more vague, a little more broad with what they talk about, and that kind of leads to softer positioning. So that’s sort of what we’re seeing reflected here. And then the third score is the message clarity score, which we can jump into, like, a whole different piece. Christian Klepp  27:48 Four on a tennis not a very high score, right? Clay Ostrom  27:52 Yeah. And again, I think it’s a product, of, we can kind of jump into that section. Christian Klepp  27:57 Yeah, let’s do that, yeah. Clay Ostrom  27:59 But it’s, again, a product, I think of Slack being now a very mature product that is has gotten sort of a little vague, maybe a little broader, with their messaging. But the message clarity score, we basically have kind of two parts to this on the left hand side are some insights that we gather based on the messaging. So what’s your category, quick synopsis of the product. But then we also do some things, like… Christian Klepp  28:33 Confusing part the most confusing. Clay Ostrom  28:36 Honestly to me, as I get I’d love to hear your experience with this, but coming into a new brand, this is sometimes one of the most enlightening parts, because it shows me quickly where some gaps in what we’re talking about, and in this case, just kind of hits on what we were just saying a minute ago. Of the messaging is overloaded with generic productivity buzzwords, fails to clearly differentiate how Slack is better than email or similar tools, etc. But also, this is another one that I really like, and I use this all the time, which is the casual description. So rather than this technical garbage jargon, you know, speak, just give me. Give it to me in plain English, like we’re just chatting. And so this description of it’s a workplace chat app for teams to message, collaborate, share files. Like, okay, cool. Like, yeah, you know, I get it. Yeah, I already know what slack is. But if I didn’t, that would tell me pretty well. Christian Klepp  29:33 Absolutely, yeah, yeah. No, my experience with this is has been, you know, you and I have been in the branding space for a while. So for the trained eye, when you look at messaging, you’ll know if it’s good or not, right. And we come I mean, I’m sure you do the same clay, but I also come to my own like conclusions based on experience of like, okay, so why do I think that that’s good messaging, or why do I think that that’s confusing messaging? Or it falls short, and why and how can that be improved? But it’s always good to have validation with either with platforms like this, where you have a you have AI, or you have, you have a software that you can use that analyzes, like, for example, like the messaging on a website, and it dissects that and says, Well, okay, so this is what they’re getting, right? So there’s a scoring for that, so it’s in the green, and then this is, this is where it gets confusing, right? So even you run that through, you run that through the machine, and the machine analyzes it as like, Okay, we can’t clearly, clearly define what it is they’re doing based on the messaging, right? And for me, that’s always a it’s good. It’s almost like getting a second doctor’s opinion, right? And then you go, Aha. So I we’ve identified the symptoms now. So let’s find the penicillin, right? Like, let’s find the remedy for this, right? Clay Ostrom  30:56 Yeah, well, and I like what you said there, because part of the value, I think, with this is it’s an objective perspective on the brand, so it doesn’t have any baggage. It’s coming in with fresh eyes, the same way a new customer would come into your website, where they don’t know really much about you, and they have to just take what you’re giving at face value about what you present. And we as people working on brands get completely blinded around what’s actually working, what’s being communicated. There’s so much that we take for granted about what we already know about the brand. And this comes in and just says, Okay, I’m just, I’m just taking what you give me, and I’m going to tell you what I see, and I see some gaps around some of these things. You know, I don’t have the benefit of sitting in your weekly stand up meeting and hearing all the descriptions of what you’re actually doing. Christian Klepp  31:59 I’m sorry to jump in. I’m interested to know, like, just, just based on what we’ve been reviewing so far, like, what has your experience been showing this kind of analysis to clients, and how do they respond to some of this data, for example, that you know, you’re walking us through right now? Clay Ostrom  32:18 Yeah, I think it’s been interesting. Honestly, I think it can sometimes feel harsh. And I think again, as someone who’s both run an agency and also built worked on brands, we get attached to our work on an emotional level. Christian Klepp  32:42 Absolutely. Clay Ostrom  32:42 Even if we think about it as, you know, this is just work, and it’s, you know, whatever, we still build up connections with our work and we want it to be good. And so I think there’s sometimes a little bit of a feeling of wow, like that’s harsh, or I would have expected or thought we would have done better or scored better in certain areas, but that is almost always followed up with but I’m so glad to know where, where we’re struggling, because now I can fix it. I can actually know what to focus on to fix, and that, to me, is what it’s all about, is, yes, there’s a little bit of feelings attached to some of these things, maybe, but at the end of the day, we really want it to be good. We want it to be clear. We don’t want to be a 4 out of 10. We want to be a 10 out of 10. And what specifically do we need to do to get there? And that’s really what we’re trying to reveal with this. So I think, you know, everybody’s a little different, but I would say the reactions are typically a mix of that. It’s like, maybe an ouch, but a Oh, good. Let’s work on it. Christian Klepp  33:55 Absolutely, absolutely. Okay. So we’ve got brand summary, we’ve got fundamentals, then quality of messaging is the other part of it, right? Clay Ostrom  34:02 So, yeah, so this, this is, this is where the actual 4 out of 10 comes. We have these 10 points that we look at and we say, Okay, are you communicating these things clearly? Are you communicating who your target customer is, your category, your offering, where you’re differentiated benefits? Do you have any kind of concrete claim about what you do to support you know what you’re what you’re selling? Is the messaging engaging? Is it concise? You’ll see here a 7% on concise. That’s basically telling us that virtually no brands do a good job of being concise. Only about 7% get a green check mark on this, and kind of similar with the jargon and the vague words big struggle points with almost every brand. Christian Klepp  34:55 Streamline collaboration. Clay Ostrom  34:58 So we can see here with Slack. You know some of the jargon we got, KPIs (Key Performance Indicators), MQLs (Marketing Qualified Lead), if you’re in the space, you could argue like, oh, I kind of know what those things are. But depending on your role, you may not always know. In something like Salesforce marketing cloud, unless you’re a real Salesforce nerd, you probably have no idea what that is. But again, it’s just a way to quickly identify some of those weak points, things that we could improve to make our message more clear. Christian Klepp  35:27 Yes, yes. Okay, so that was the messaging analysis correct? Clay Ostrom  35:33 Yeah. Christian Klepp  35:33 Yeah. Okay. So what else have we got? Clay Ostrom  35:36 Yeah, so I think one other thing we could look at just for a sec, is differentiation, and this is this kind of plays off of what we looked at a minute ago with the positioning scores. But this is a way for us to look head to head with two different brands. So in this case, we’ve got Slack in the red and we’ve got Discord in the greenish blue. And I think of these, these patterns, as sort of the fingerprint of your brand. So where you Where are you strong? Where are you weak? And if we can overlay those two fingerprints on top of each other, we can see, where do we have advantages, and where does our competitor have advantages? So if we come down, we can sort of see, and this is again, for the nerds like me, to be able to come in and go deep, do kind of a deep dive on specifically, why did, why does Discord score better than Slack in certain areas. And at the bottom here we can see a kind of a quick summary. So slack is stronger in simplification, saving time, Discord has some better messaging around generating revenue, lowering costs, marketability. But again, this gives us a way to think about what are the things we want to double down on? So what do we want to actually be known for in the market? Because we can’t be known for everything. You know, buyers can maybe only remember a couple things about us. What are those couple things where we’re really strong, where we really stand out, and we’ve got some separation from the competitors. Christian Klepp  37:18 Right, okay, okay, just maybe we take a step back here, because I think this is great. It’s very detailed. It gets a bit granular, but I think it’s also going back to a conversation that you and I had previously about, like, Okay, why is it so important to be armed with this knowledge, especially if you’re in the marketing role, or perhaps even an agency talking to a potential client going in there already armed with the information about their competitors. And we were talking about this being a kind of like a trust building mechanism, right? For lack of a better description, right? Clay Ostrom  38:03 Yeah, I think to me, what I like about this, and again, this does come out of 10 years of doing work, this kind of work with clients as well, is it’s so easy to fall into a space of soft descriptions around things like positioning and just sort of using vague, you know, wordings or descriptions, and when you can actually put a number on it, which, again, it’s subjective. This isn’t. This isn’t an objective metric, but it’s a way for us to compare and contrast. It allows us to have much more productive conversations with clients, where we can say we looked at your brand, we we what based on our analysis, we see that you’re scoring a 10 and a 9 on simplicity and organization, for example. Is that accurate to you like do you think that’s what you all are emphasizing the most? Does that? Does that resonate and at the same time, we can say, but your competitors are really focused on there. They have a strong, strong message around generating revenue and lowering costs for their customers. Right now, you’re not really talking about that. Is that accurate? Is that like, what you is that strategically, is that what you think you should be doing so really quickly, I’ve now framed a conversation that could have been very loose and kind of, you know, well, what do you think your strategy is about? What do you know? And instead, I can say, we see you being strong in these three points. We see your competitors being strong in these three points. What do you think about that? And I think that kind of clarity just makes the work so much more productive with clients, or just again, working on your own brand internally. So what do you think about that kind of perspective? Christian Klepp  40:08 Yeah, no, no, I definitely agree with that. It’s always and I’ve been that type of person anyway that you know you go into a especially with somebody that hasn’t quite become a client yet, right? One of the most important things is also, how should I put this? Certainly the trust building part of it needs to be there. The other part is definitely a demonstration of competence and ability, but it’s also that you’ve been proactive and done your homework, versus like, Okay, I’m I’m just here as an order taker, right? And let’s just tell me what to do, and I’ll do it right? A lot and especially, I think this has been a trend for a long time already, but a lot of the clients that I’ve worked with now in the past, they want to, they’re looking for a partner that’s not just thinking with them, it’s someone that’s thinking ahead of them. And this type of work, you know what we’re seeing here on screen, this is the type of work that I would consider thinking ahead of them, right? Clay Ostrom  41:18 No, I agree. I think you framed that really well. Of we’re trying to build trust, because if we’re going to make any kind of recommendations around a change or a shift, they have to believe that we know what we’re talking about, that we’re competent, that we’ve done the work. And I think I agree with you. I think like this, it’s kind of funny, like we all, I think, on some base level, are attracted to numbers and scores. It just gives us something to latch on to. But I think it also, like you said, it gives you a feeling that you’ve done your work, that you’ve done your homework, you’ve studied, you’ve you’ve done some analysis that they themselves may have never done on this level. And that’s a big value. Christian Klepp  42:08 Yes, and a big part of the reason just to, just to build on what you said, a big part of the reason why they haven’t done this type of work is because it’s not so much. The cost is certainly one part of it, but it’s the time, it’s a time factor and the resource and the effort that needs to be put into it. Because, you know, like, tell me if you’ve never heard this one before, but there are some, there are some companies that we’ve been working with that don’t actually have a clearly, like, you know, a clear document on who their their target personas are, yeah, or their or their ICPs, never mind the buyer’s journey map. They don’t, they don’t even have the personas mapped out, right? Clay Ostrom  42:52 100% Yeah, it’s, and it’s, I think you’re right. It’s, it’s a mix of time and it’s a mix of just experience where, if you are internal with a brand, you don’t do this kind of work all the time. You might do it at the beginning. Maybe you do a check in every once in a while, but you need someone who’s done this a lot with a lot of different brands so that they can give you guidance through this kind of framework. But so it’s, you know, so some of it is a mix of, you know, we don’t have the time always to dig in like this. But some of it is we don’t even know how to do it, even if we did have the time. So it’s hopefully giving, again, providing some different frameworks and different ways of looking at it. Christian Klepp  43:41 Absolutely, absolutely. So okay, so we’ve gone through. What is it now, the competitor comparison. What else does the platform provide us that the listeners and the audience should be paying attention to here? Clay Ostrom  43:55 So I’ll show you two more quick things. So one is this message building section. So this is… Christian Klepp  44:03 Are you trying to put me out of a job here Clay? Clay Ostrom  44:07 Well, I’ll say this. So far in my experience with this, it’s not going to put us out of a job, but it is going to hopefully make our job easier and better. It’s going to make us better at the work we do. And that’s really, I think that’s, I think that’s kind of, most people’s impression of AI at this point is that it’s not quite there to replace us, but it’s sure, certainly can enhance what we do. Christian Klepp  44:36 Yeah, you’ll excuse me, I couldn’t help but throw that one out. Clay Ostrom  44:38 Yeah, I know, trust me, I’m this. It’s like I’m building a product that, in a sense, is undercutting, you know, the work that I do. So it is kind of a weird thing, but this message building section, which is a new part of the platform. It will come in, and you can see on the right hand side. And there’s sort of a quick summary of all these different elements that we’ve already analyzed. And then it’s going to give you some generated copy ideas, including, if I zoom in a little bit here, we’ve got an eyebrow category. This is again for Slack. It’s giving us a headline idea, stay informed without endless emails. Sub headline call to action, three challenges that your customers are facing, and then three points about your solution that help address those for customers. So it’s certainly not writing all of your copy for you, but if you’re starting from scratch, or you’re working on something new, or even if you’re trying to refresh a brand. I think this can be helpful to give you some messaging that’s hopefully clear. That’s something that I think a lot of messaging misses, especially in B2B, it’s, it’s not always super clear, like what you even do. Christian Klepp  45:56 Don’t get me started. Clay Ostrom  45:59 So hopefully it’s clear. It’s, you know, again, it’s giving you some different ideas. And that you’ll see down here at the bottom, you can, you can iterate on this. So we’ve got several versions. You can actually come in and, you know, you can edit it yourself. So if you say, like, well, I like that, but not quite that, you know, I can, you know, get my human touch on it as well. But yeah, so it’s a place to iterate on message. Christian Klepp  46:25 You can kind of look at it like, let’s say, if you’re writing a blog article, and this will give you the outline, right? Yeah. And then most of the AI that I’ve worked with to generate outlines, they’re not quite there. But again, if you’re starting from zero and you want to go from zero to 100 Well, that’ll, that’ll at least get you to 40 or 50, right? But I’m curious to know, because we’re looking at this now, and I think this, I mean, for me, this is, this is fascinating, but, like, maybe, maybe this will be part of your next iteration. But will this, will this generate messaging that’s already SEO optimized. Clay Ostrom  47:02 You know, it’s not specifically geared towards that, but I would say that it ends up being maybe more optimized than a lot of other messaging because it puts such an emphasis on clarity, it naturally includes words and phrases that I think are commonly used in the space more so than you know, maybe just kind of typical off the shelf Big B2B messaging, Christian Klepp  47:27 Gotcha. I had a question on the target persona that you’ve got here on screen, right? So how does the platform generate the information that will then populate that field because, and when I’m just trying to think about like, you know, because I’ve been, I’ve been in the space for as long as you have, and the way that I’ve generated target personas in the past was not by making a wild guess about, like, you know, looking at the brand’s website. It’s like having conducting deep customer research and listening to hours and hours of recordings, and from there, generating a persona. And this has done it in seconds. So… Clay Ostrom  48:09 Yeah, it’s so the way the system works in a couple different layers. So it does an initial analysis, where it does positioning, messaging analysis and category analysis, then you can generate the persona on top of that. So it takes all the learnings that it got from the category, from the product, from your messaging, and then develops a persona around that. And it’s, of course, able to also pull in, you know, the AI is able to reference things that it knows about the space in general. But I have found, and this is true. I was just having a conversation with someone who works on a very niche brand for a very specific audience, and I was showing him what it had output. And I said, Tell me, like, Don’t hold back. Like, is this accurate? He said, Yeah, this is, like, shockingly accurate for you know, how we view our target customer. So I think it’s pretty good. It’s not again, not going to be perfect. You’re going to need to do some work, and you still got to do the research, but, but, yeah. Christian Klepp  49:13 Okay, fantastic, fantastic. How do, I guess there’s the option, I see it there, like, download the PDF. So anything that’s analyzed on the platform can then be exported in a PDF format, right? Like, like, into a report. Clay Ostrom  49:28 Yeah, right now you can export the messaging analysis, or, sorry, the the messaging ideation that you’ve done, and then in the brand brief you can also, you can download a PDF of the brand brief as well. So, those are the two main areas. I’m still working on some additional exports of data so that people can pull it into a spreadsheet and do some other stuff with it. Christian Klepp  49:49 Fantastic, fantastic. That’s awesome, Clay. I’ve got a couple more questions before I let you go. But this has been, this has been amazing, right? Like and I really hope that whoever’s in the one listening and, most importantly, watching this, I hope that you really do consider like, you know, taking this for a test drive, right? How many I might have asked you this before, because, you know, I am somebody that does use, you know, that does a lot of this type of research. But how much time would you say companies would save by using Smoke Ladder? Clay Ostrom  50:24 It’s a good question. I feel like I’m starting to get some feedback around that with from our users, but I mean, for me personally, I would typically spend an hour or two just to get kind of up to speed initially, with a brand and kind of look at some of their competitors. If I’m doing a deep dive, though, if I’m actually doing some of the deeper research work, it could be several hours per client. So I don’t know. On a given week, it might depend on how many clients you’re talking to. Could be anywhere from a few hours to 10 hours or more, depending on how much work you’re doing. But, yeah, I think it’s a decent amount. Christian Klepp  51:07 Absolutely, absolutely. I mean, this definitely does look like a time saver. Here comes my favorite question, which you’re gonna look at me like, Okay, I gotta, I gotta. Clay Ostrom  51:17 Now bring it on. Let’s go. Christian Klepp  51:22 Folks that are not familiar with Smoke Ladder are gonna look at this, um, and before they actually, um, take it upon themselves to, like, watch, hopefully, watch this video on our channel. Um, they’re gonna look at that and ask themselves, Well, what is it that Smoke Ladder does that? You know that other AI couldn’t do, right, like, so I guess what I’m trying to say is, like, Okay, why would they use? How does the platform differ from something like ChatGPT, Perplexity or Claude, right? To run a brand analysis? Clay Ostrom  52:00 Yeah, no, I think it’s a great question. I think it’s sort of the it’s going to be the eternal AI question for every product that has an AI component. And I would say to me, it’s three things. So one is the data, which we talked about, and I didn’t show you this earlier, but there is a search capability in here to go through our full archive of all the brands we’ve analyzed, and again, we’ve analyzed over 6000 brands. So the data piece is really important here, because it means we’re not just giving you insights and analysis based on the brand that you’re looking at now, but we can compare and contrast against all the other brands that we’ve looked at in the space, and that’s something that you’re not going to get by just using some off the shelf standard LLM  (Large Language Model) and doing some, you know, some quick prompts with that. The next one, I think, to me that’s important is it’s the point of view of the product and the brand. Like I said, this is built off of 10 plus years of doing positioning and messaging work in the space. So you’re getting to tap into that expertise and that approach of how we do things and building frameworks that make this work easier and more productive that you wouldn’t get, or you wouldn’t know, just on your own. And then the last one, the last point, which is sort of the kind of like the generic software answer, is you get a visual interface for this stuff. It’s the difference between using QuickBooks versus a spreadsheet. You can do a lot of the same stuff that you do in QuickBooks and a spreadsheet, but wouldn’t you rather have a nice interface and some easy buttons to click that make your job way, way easier and do a lot of the work for you and also be able to present it in a way that’s digestible and something you could share with clients? So the visual component in the UI is sort of that last piece. Christian Klepp  54:01 Absolutely. I mean, it’s almost like UX and UI one on one. That’s, that’s pretty much like a big part of, I think what it is you’re trying to build here, right? Clay Ostrom  54:13 Yeah, exactly. It’s just it’s making all of those things that you might do in an LLM just way, way easier. You know, you basically come in, put in your URL and click a button, and you’re getting access to all the data and all the insights and all this stuff so. Christian Klepp  54:29 Absolutely, absolutely okay. And as we wrap this up, this has been a fantastic conversation, by the way, how can the audience start using Smoke Ladder, and how can they get in touch with you if they have questions, and hopefully good questions. Clay Ostrom  54:47 Yeah, so you can, if you go to https://smokeladder.com/ you can, you can try it out. Like I said, you can basically go to the homepage, put in a URL and get started. You don’t even have to create an account to do the initial analysis. But you can create FREE account. You can dig in and see, you know, play around with all the features, and if you use it more, you know, we give you a little bit of a trial period. And if you use it beyond that, then you can pay and continue to use it, but, but you can get a really good flavor of it for free. Christian Klepp  55:16 Fantastic, fantastic. Oh, last question, because, you know, it’s looking me right in the face now, industry categories. How many? How many categories can be analyzed on the platform? Clay Ostrom  55:26 Yeah, yeah. So right now, we have 23 categories in the system currently, which sounds like a lot, but when you start to dig into especially B2B, it’s we will be evolving that and continuing to add more, but currently, there’s 23 different categories of businesses in there. Christian Klepp  55:46 All right, fantastic, fantastic. Clay, man. This has been so awesome. Thank you so much for your time and for your patience and walking us through this, this incredible platform that you’ve built and continue to build. And you know, I’m excited to continue using this as it evolves. Clay Ostrom  56:06 Thank you. Yeah, no. Thanks so much. And you know, if anybody, you know, anybody who tries it out, tests it out, please feel free to reach out. We have, you know, contact info on there. You can also hit me up on LinkedIn. I spend a lot of time there, but I would love feedback, love getting notes, love hearing what’s working, what’s not, all those things. So yeah, anytime I’m always open. Christian Klepp  56:30 All right, fantastic. Once again, Clay, thanks for your time. Take care, stay safe and talk to you soon. Clay Ostrom  56:36 Thanks so much. Talk to you soon. Christian Klepp  56:37 All right. Bye for now.

Aydin sits down with Mike Potter, CEO and co-founder of Rewind, to talk about how AI is changing both the risk and opportunity landscape for SaaS companies. They cover how AI agents are now deleting real customer data, why backup is more critical than ever, and how Rewind became an AI-native org with dedicated AI ownership, monthly Lunch & Learns, and real internal workflows.Mike walks through the exact N8N workflows he uses to:Auto-triage his Gmail into multiple inboxes using AIGenerate a daily AI brief based on tasks, calendar events, and past email contextAnalyze churn, win/loss, and internal product data using Claude and MCPThey close with Mike's “dream automation”: a full AI-generated business review that looks across financials, CRM data, and benchmarks.Timestamps:0:00 — Welcome to the show0:31 — Mike's intro & what Rewind backs up across SaaS ecosystems1:40 — AI agents as a new failure mode and how Rewind “saves you from your AI”4:05 — Turning Rewind into an AI-native company early on4:53 — First attempt at AI-built integrations (why it failed then, why it might work now)7:23 — Developers trading tedious integration maintenance for more interesting AI work9:45 — Code vs architecture: the Shopify webhooks story and handling 1.1B+ events14:03 — Hiring an AI Engineer: scope, responsibilities, and why background mattered15:33 — How Rewind drove AI adoption: Lunch & Learns, “use it in your personal life,” experimentation20:53 — How AI Lunch & Learns actually run across multiple offices and remote folks23:10 — Examples: CS tools, Alloy prototypes, AI video voiceovers, end-to-end workflows25:13 — Churn workflows: combining uninstall reasons from multiple marketplaces into Claude27:06 — Win/loss and internal analytics using Claude Projects + MCP server into an internal DB29:14 — Choosing between Claude, ChatGPT, and Gemini depending on the task (and re-testing every few months)31:23 — Mike's Gmail system: multiple inboxes + N8N + AI classification36:07 — Inside the email-classifier prompt and AI-powered spam that beats Gmail filters41:34 — The “Daily AI Brief”: pulling tasks, meetings, and prior email threads into a single morning email45:02 — Letting AI write and debug N8N workflows (and how assistants in tools are getting better)48:58 — Wishlist: automated AI business review across finance, Salesforce, and SaaS benchmarks51:23 — Closing thoughts: so many useful tools are possible, but GTM is the hard partTools & Technologies MentionedRewind – Backup and restore for mission-critical SaaS applications.Claude – LLM used for analysis, projects, agents, and internal tools.ChatGPT / OpenAI (GPT-4.1, GPT-4.1 mini) – LLMs used for code, prompts, and workflow JSON.N8N – Automation platform used to build email and daily-brief workflows.Gmail – Email client where AI-powered labels drive multiple inboxes.Google Calendar – Calendar data powering the daily AI agenda.Google Tasks – Task list feeding into the morning brief email.MCP (Model Context Protocol) – Connects Claude to Rewind's internal databases.Alloy – Tool for building interactive product UI prototypes.Salesforce – CRM used for pipeline, churn, and win/loss analysis.Gumloop – Workflow tool with an embedded AI assistant.Zapier – Automation platform referenced for plain-English workflow creation.Fellow – AI meeting assistant for summaries, action items, and insights.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Tema del dia Després d'unes setmanes sense parlar, el Joan i l'Andreu es posen al dia: viatges, mudances, obres... Parlem també de la Fira del Llibre de Guadalajara i d'una nova obsessió de l'Andreu: els noms de pobles i ciutats catalans. Som-hi! Inscripcions obertes als pròxims cursos de català! Les classes comencen el 7 de gener. (https://classes.easycatalan.org/) Bonus L'Andreu explica algunes anècdotes del seu viatge a l'Argentina. Transcripció Andreu: [0:15] Bon dia, Joan! Joan: [0:16] Bon dia, Andreu! Andreu: [0:18] Ui, ja començo malament. Bé, estic malalt. Joan: [0:29] T'anava a dir: "Com estàs?", perquè fa dues setmanes que no parlem, però ja ho veig. Andreu: [0:35] Sí. Vaig tornar del viatge malalt, de fet vaig estar dos terceres parts del viatge amb un refredat molt fort, que va començar com si fos una grip, perquè vaig estar dos o tres dies així amb febre, llavors la cosa va… es va suavitzar i vaig estar molts dies amb mucositat i tos, i els tres últims dies altre cop amb febre i molta tos, i al final va ser una bronquitis. Llavors, aquesta setmana he estat que no servia per a res i encara m'estic recuperant. Joan: [1:05] Però el viatge va anar bé o no vas poder-ne gaudir? Andreu: [1:08] Sí! No, sí, sí, ho vam fer tot, gràcies a la medicina, a la ciència, als (ibuprofens) i paracetamols. Sí, vam fer totes les excursions, vam veure les glaceres… bé, la més famosa és el Perito Moreno. Joan: [1:22] Perquè vas explicar que anaves a l'Argentina, en episodis anteriors? Andreu: [1:25] Crec que sí, que vaig dir que anava a l'Argentina. Potser el que no vaig dir va ser que anava concretament a la part del sud, de la Patagònia, que són tot paratges naturals brutals. Joan: [1:36] Preciosos. Molt bé. Andreu: [1:38] I, vull dir, molts llacs, moltes muntanyes… A la part del Calafate, que és com més o menys al mig de la Patagònia, és tot… bé, a l'Argentina hi ha molt territori que és estepa, no?, que és com desert, pràcticament, no hi ha res. I llavors tu estàs allà, veus l'estepa, que és tot més o menys pla, no hi ha pràcticament vegetació i tal, i de cop tens els Andes, bum!, muntanyes, saps? O sigui, no és com aquí que tenim el Prepirineu, que comença a haver-hi una mica de muntanyes, que es van fent més altes, més altes… Joan: [2:11] O sigui, és com si de cop pugés una muntanya allà a l'horitzó enorme, no? Andreu: [2:15] Sí, sí, sí. O sigui, tu estàs al desert i, de cop, muntanyes nevades. És molt curiós. I els llacs també són impressionants… Hi ha un llac que es diu Lago Argentino, que té un color blau cel, però un blau superclar, que es veu que és pels sediments de les glaceres, que generen a l'erosionar la roca, no?, perquè, clar, tot aquell gel, que és neu compactada, però és gel, diguéssim, doncs fa això, una erosió de la roca, que després deixa unes partícules en suspensió a l'aigua que no acaben mai de precipitar. I llavors té aquest color com... és com un… sí, un blau molt molt claret, no ho sé, molt curiós. Joan: [2:56] Que curiós. Andreu: [2:57] I després, més al sud, a Ushuaia, que en diuen "el fin del mundo", la Tierra de Fuego, doncs allà vam veure pingüins, lleons marins, també, vam veure còndors… Joan: [3:09] Molt bé, molt bé. Andreu: [3:10] Buà, va ser… va ser molt molt guai. Fes-te membre de la subscripció de pòdcast per accedir a les transcripcions completes, a la reproducció interactiva amb Transcript Player i a l'ajuda de vocabulari. (http://easycatalan.org/membership)

It's time to Caps Lock in and Esc into another episode, as Tim Van Damme joins us to talk about his passion for designing mechanical keyboards. He describes how a pre-made keyboard that he customized by designing his own keycaps, ignited a passion for treating keyboards as both functional tools and artistic statements. Tim collaborates with a local CNC machine specialist to prototype and manufacture keyboards from raw materials like brass, copper, and semi-translucent plastics that age over time, prioritizing the honesty of the material over painted finishes. He finds freedom in the hobby's spectrum from boring, ergonomic designs to extravagant art pieces, and talks about how long it takes him to feel comfortable enough to overcome the small imperfections and use his own projects.Guest BioTim Van Damme (he/him) (you might also know him as Max) has been a software UI designer for over 2 decades at a wide variety of tech companies including Instagram, Dropbox, and currently Figma. Lately, he's been getting more and more interested in designing physical objects, specifically luxury mechanical keyboards and key caps under the moniker MVKB (Maxvoltar Keyboards). He lives in Belgium together with his wife, 3 kids, 4 chickens and dog.LinksTim's website: https://www.timvandamme.com/MaxVoltar Keyboards: https://mvkb.com/CreditsCover design by Raquel Breternitz.

On this episode, I breakdown eight little-known mobile apps that each generate around $50,000+ per month and explain why they work. I walk through specific examples—from AI video generators and Bible note-takers to vinyl pricing tools and AI English tutors—then explain the common patterns behind their success. The second half of the episode is devoted to six clear frameworks for spotting high-potential niches and designing simple, sticky mobile apps around them. I end the episode with a batch of extra startup ideas built on high-intent inputs like photos, videos, and scans so listeners can “vibe code” their own profitable apps in 2026. Timestamps 00:00 – Intro 02:02 – App 1: Flashloop: AI Video Generator for Viral Character Clips 03:26 – App 2: Bible Note-Taker & Prayer Recorder for Churchgoers 06:35 – App 3: AI Home Decor Interior Design App and Visualization Pain 08:48 – App 4: Moji Lab: Emoji/Sticker Packs and Expression as a Business 11:43 – App 5: Vinyl Snap: Scanning Vinyl Records for Accurate Pricing 13:51 – App 6: Genora AI: Bundling Multiple LLMs into One Assistant 16:45 – App 7: Logo Maker: AI Generated Logos 18:57 – App 8: Menu Fit: Healthy Eating Recommendations at Any Restaurant 20:44 – App 9: LangLearn: Personal AI English Tutor and Duolingo Comparison 22:37 – App 10: Zozo Fit 3D Body Scanner: Tracking Body Change, Not the Scale 25:04 – The “ 50K MRR App Framework” 31:30 – Bonus Startup Ideas Key Points Profitable mobile apps often do one high-intent, recurring job for a specific identity-based group, then charge a subscription around that behavior. Many breakout apps turn photos, videos, or scans (high-signal inputs) into premium insights like valuations, design plans, or tailored recommendations. Simple, one-screen interfaces with clear before/after transformations make these AI-powered tools feel approachable and addictive to use. The “50K MRR App Framework” combines spending power, repeating problems, visual inputs, accuracy needs, and bad existing tools to guide idea selection. New app ideas can be generated by pairing these frameworks with underserved niches like golf swings, pet health, used cars, or RV layouts. Numbered Section Summaries Why Mobile Apps Are Printing Money in 2026 The host opens by arguing that now is an incredible time to build mobile apps, pointing to new apps that have appeared “out of nowhere” and reached $50K+ per month. He cites a tweet listing 10 such apps launched in the last 180 days and sets the goal of reverse engineering what makes them work so listeners can apply the patterns to their own ideas. The 50K MRR App Framework The “50K MRR App Framework”: find a group that (1) spends money, (2) has a repeating problem, (3) uses photos/videos as inputs, (4) cares deeply about accuracy, and (5) suffers from bad existing tools. He walks through how vinyl collectors fit every criterion and stresses that while the framework is simple, execution still requires great UX, clean UI, and the right niche. The goal is to make idea selection easier by checking all five boxes before committing to an app. Six Supporting Frameworks for Designing Hit Apps I expands into six additional frameworks: start with a “nerve” (identity, urgency, stakes, repetition); solve one job that always must be done; build around a single high-intent input (photo, address, object); use AI to unlock a premium insight (price, diagnosis, summary, design plan); wrap it in a simple, desirable interface (one screen, one button, one transformation); and create a recurring behavior loop that pulls users back daily or weekly. He summarizes these in a conceptual pipeline: high-intent input → AI premium insight → simple interface → recurring loop → $50K MRR. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Ben Toner once again joins Keith Parsons to explain the new WLAN-Pi App. Originally built to control the WLAN-Pi Go, the app now works with all WLAN-Pi models and consolidates controls previously spread across the web UI and APIs. They then dive deeper into the method of connectivity for the app and the functionalities it... Read more »

In this special live episode from SaaS Summit Benelux in Amsterdam, Joran sits down with Roelof Otten, founder of SaaSmeister, to explore How PLG Will Change in 2026: AI Agents, Onboarding & Hybrid GTM. Together, they break down the biggest shifts coming to B2B SaaS go-to-market—from the rise of hybrid motions and the evolution of sales roles to the transformative impact of AI-powered demos, agents, and conversational interfaces.Roelof shares actionable, stage-specific insights for founders at every level. You'll hear why PLG is becoming a company-wide strategy instead of a product feature, how onboarding is expanding beyond the UI, why freemium is harder for AI-native products, and what it really takes to build data tracking that supports growth instead of slowing it down.Whether you're moving from sales-led to product-led, building a hybrid GTM, or preparing your SaaS product for an AI-first future, this episode offers a clear roadmap for navigating the changes ahead and meeting buyers where they want to be in 2026.Tune in to learn how to implement PLG effectively, empower your sales team in a consultative model, integrate AI responsibly, and build growth loops that compound over time.Key Timecodes(0:00) – B2B SaaS, PLG, AI onboarding, AI demos, product-qualified pipeline, GTM 2026, SaaS Summit(0:52) – B2B SaaS podcast(0:58) – Roelof Otten, SaaSmeister, PLG(1:07) – GTM 2026, PLG trends(1:42) – Hybrid GTM, PLG, sales-led(2:36) – AI GTM, AI agents, AI demos(3:12) – Interactive demos, AI sales assistant(3:50) – Buyer enablement, AI demo(4:20) – In-product AI, trial support(4:36) – PLG transformation, sales alignment(5:21) – Consultative sales, upsell, PQLs(5:43) – PLG funnel, activation, expansion(6:00) – Conversational UI, AI UX(6:52) – UX transition(7:25) – AI platform, data layer, models(7:37) – MCP, AI integrations, ChatGPT, Claude(8:10) – AI privacy, security, compliance(8:46) – Build vs buy AI, LLMs(9:22) – PLG first, SaaS trial(9:38) – Reditus, SaaS affiliate(10:22) – AI costs, freemium(10:35) – Freemium strategy, CAC, churn(11:39) – Referrals, partnerships, affiliate growth(12:33) – In-app referrals, incentives(13:06) – Onboarding, nurture, reactivation(13:57) – Signup friction, JTBD, ICP(14:57) – Personalized onboarding(15:14) – Founder-led sales, JTBD, messaging(15:45) – ICP focus, activation metrics(16:39) – Product analytics, event tracking(17:01) – Roelof Otten, SaaSmeister(17:15) – Podcast outro, sponsor, Reditus

Send us a textWhy does it take three years to deploy a digital pathology tool that only took three weeks to build? That's the reality no one talks about—but every lab feels every time they deploy a new tool...In this episode, I sit down with Andrew Janowczyk, Assistant Professor at Emory University and one of the leading voices in computational pathology, to unpack the practical, messy, real-world truth behind deploying, validating, and accrediting digital pathology tools in the clinic.We walk through Andrew's experience building and implementing an H. pylori detection algorithm at Geneva University Hospital—a project that exposed every hidden challenge in the transition from research to a clinical-grade tool.From algorithmic hardening, multidisciplinary roles, usability studies, and ISO 15189 accreditation, to the constant tug-of-war between research ambition and clinical reality… this conversation is a roadmap for anyone building digital tools that actually need to work in practice.Episode Highlights[00:00–04:20] Why multidisciplinary collaboration is the non-negotiable cornerstone of clinical digital pathology deployment[04:20–08:30] Real-world insight: The H. pylori detection tool and how it surfaces “top 20” likely regions for pathologist review[08:30–12:50] The painful truth: Algorithms take weeks to build—but years to deploy, validate, and accredit[12:50–17:40] Why curated research datasets fail in the real world (and how to fix it with unbiased data collection)[17:40–23:00] Algorithmic hardening: turning fragile research code into production-ready clinical software[23:00–28:10] Why every hospital is a snowflake: no standard workflows, no copy-paste deployments[28:10–33:00] The 12 validation and accreditation roles every lab needs to define (EP, DE, QE, IT, etc.)[33:00–38:15] Validation vs. accreditation—what they are, how they differ, and when each matters[38:15–43:40] Version locking, drift prevention, and why monitoring is as important as deployment[43:40–48:55] Deskilling concerns: how AI changes perception and what pathologists need before adoption[48:55–55:00] Usability testing: why naive users reveal the truth about your UI[55:00–61:00] Scaling to dozens of algorithms: bottlenecks, documentation, and the future of clinical digital pathology and AI workflowsResources From This EpisodeJanowczyk & Ferrari: Guide to Deploying Clinical Digital Pathology Tools (discussed)Sectra Image Management System (IMS)Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study - PubMedDigital Pathology 101 (Aleksandra Zuraw)Key TakeawaysAlgorithm creation is the easy part—deployment is the mountain.Clinical algorithms require multidisciplinary ownership across 12 institutional roles.Real-world data is messy—and that's exactly why algorithms must be trained on it.No two hospitals are alike; every deployment requires local adaptation.Usability matters as much as accuracy—naive users expose real workflow constraints.PathoSupport the showGet the "Digital Pathology 101" FREE E-book and join us!

I det här specialavsnittet tar vi dig med till Qliros event i Göteborg, där några av branschens mest erfarna röster delade insikter om framtidens betalningar, AI och konsumentbeteenden. Jacob Lovén pratar tillsammans med gästerna om hur kassaupplevelsen blivit en avgörande konkurrensfördel, varför kundernas förväntningar ökar snabbare än företagens system - hur rätt betalstrategi kan avgöra konvertering, lojalitet och marginal, och hur AI förändrar riskhantering, kreditbedömning och personalisering i realtid.https://qliro.com/for-merchants03:00 – Konsumentbeteende 2025 – snabbhet, trygghet, tillgänglighet07:45 – Data: så påverkar betalmetod konverteringen10:20 – AI i betalflöden – från riskanalys till personalisering15:45 – Små friktionspunkter – stora intäktsförluster18:00 – Generationsskillnader i betalvanor21:10 – Personalisering i checkout och UI-design24:00 – Säkerhet vs enkelhet – den eviga balansen26:45 – Förtroende i sista steget – checkouten som lojalitetsmoment29:00 – ROI på kassaupplevelse – hur man mäter effekten34:10 – Open banking & framtidens regleringar37:00 – Partnerskap: fintech, retail och data i samspel42:30 – Panelens slutsats: betalning = nyckeln till tillväxtHär hittar du Jacob & gästerna:https://www.linkedin.com/in/jacob-lov%C3%A9n-49091319/ https://www.linkedin.com/in/evelin-kaup-792a0a27/ https://www.linkedin.com/in/christoffer-rutgersson-7ab7a611/ https://www.linkedin.com/in/martin-kamphav-4742a611/ https://www.linkedin.com/in/erika-johansson-53486b65/ https://www.linkedin.com/in/erik-wickman-6266381/ https://www.linkedin.com/in/erikssonhanna/ https://www.linkedin.com/in/charlotte-nord%C3%A9n-2512b921/ https://www.linkedin.com/in/sofia-sandberg-72b726197/ https://www.linkedin.com/in/magnus-pettersson-5578851/ https://www.linkedin.com/in/jespermellberg/ Följ Framtidens E-handel på LinkedIn:https://www.linkedin.com/company/framtidens-e-handel/ Besök vår hemsida, YouTube & Instagram:https://www.framtidensehandel.se/ https://www.instagram.com/framtidens.ehandel/ https://www.youtube.com/channel/UCEYywBFgOr34TN8NtXeL5HQPoddproducenter Michaela Dorch & Fredrik Ankarsköld:https://www.linkedin.com/in/michaela-dorch/ https://www.linkedin.com/in/ankarskold/ Tusen tack för att du lyssnar!Support till showen http://supporter.acast.com/framtidens-e-handel. Hosted on Acast. See acast.com/privacy for more information.

Hey, Alex here, I recorded these conversations just in front of the AI Engineer auditorium, back to back, after these great folks gave their talks, and at the epitome of the most epic AI week we've seen since I started recording ThursdAI.This is less our traditional live recording, and more a real podcast-y conversation with great folks, inspired by Latent.Space. I hope you enjoy this format as much as I've enjoyed recording and editing it. AntiGravity with KevinKevin Hou and team just launched Antigravity, Google's brand new Agentic IDE based on VSCode, and Kevin (second timer on ThursdAI) was awesome enough to hop on and talk about some of the product decisions they made, what makes Antigravity special and highlighted Artifacts as a completely new primitive. Gemini 3 in AI StudioIf you aren't using Google's AI Studio (ai.dev) then you're missing out! We talk about AI Studio all the time on the show, and I'm a daily user! I generate most of my images with Nano Banana Pro in there, most of my Gemini conversations are happening there as well! Ammaar and Kat were so fun to talk to, as they covered the newly shipped “build mode” which allows you to vibe code full apps and experiences inside AI Studio, and we also covered Gemini 3's features, multimodality understanding, UI capabilities. These folks gave a LOT of Gemini 3 demo's so they know everything there is to know about this model's capabilities! Tried new things with this one, multi camera angels, conversation with great folks, if you found this content valuable, please subscribe :) Topics Covered:* Inside Google's new “AntiGravity” IDE* How the “Agent Manager” changes coding workflows* Gemini 3's new multimodal capabilities* The power of “Artifacts” and dynamic memory* Deep dive into AI Studio updates & Vibe Coding* Generating 4K assets with Nano Banana ProTimestamps for your viewing convenience. 00:00 - Introduction and Overview01:13 - Conversation with Kevin Hou: Anti-Gravity IDE01:58 - Gemini 3 and Nano Banana Pro Launch Insights03:06 - Innovations in Anti-Gravity IDE06:56 - Artifacts and Dynamic Memory09:48 - Agent Manager and Multimodal Capabilities11:32 - Chrome Integration and Future Prospects20:11 - Conversation with Ammar and Kat: AI Studio Team21:21 - Introduction to AI Studio21:51 - What is AI Studio?22:52 - Ease of Use and User Feedback24:06 - Live Demos and Launch Week26:00 - Design Innovations in AI Studio30:54 - Generative UIs and Vibe Coding33:53 - Nano Banana Pro and Image Generation39:45 - Voice Interaction and Future Roadmap44:41 - Conclusion and Final ThoughtsLooking forward to seeing you on Thursday

EPISODE SYNOPSIS:Careful planning, good timing and teamwork are the things that make a Shadowrun go well. But one small thing missed in a teams legwork and make a run go bad in a heartbeatOUR LIVING CAMPAIGN MAPOUR SOCIAL MEDIA LINKS: EDITED BY:Rhydian Jones ARTWORK BY:Fnic SUBMITTING LOCATIONS AND DISTRICTS FORNEW YORK 2072 MAP:Any Submissions for new lore for existing districts or newlocations, gangs or anything similar can be sent to b.team.shadowrun@gmail.com, with the subject “New Map Lore” or alternatively submitted to thededicated channel on our discord found at: https://discord.com/invite/QB4FwXvrC4⁠  MUSIC CREDITS:Intro More Human Than Human by Karl Cassey @Whitebat AudioOutro – Neon Thrills by LukHashBackground Music by Kharl Casey,Tabletop Audio & Aim to HeadJazz by Mogo Mogo - https://www.youtube.com/playlist?list=PLeP7OZvLMPPfgWw8kHGZzPNhurUBbTbz3 SOUND EFFECTS CREDITS:All Sounds from freesound.org unless otherwise noted.CREATOR - FILE NAME3bagbrew - shop_door_bell.wavSheyvan - Plugging Cable 2MATRIXXX_ - Bank, Laser Patrol.wavBreviceps - Blip Wavejaegrover - Electronic, Computer, Hard Drive - 1990s Compaq Hard Drive, Spooling Up, Turning Off - Close Perspective Memory Access Noise.wavAlienXXX - Data.wavnewlocknew - COMTelm_Data Transmission Or Read Out Signal 3.Artificial_EM.wavGuardian2433 - Police Radio Chatter.wavGaryBran - HeavyFootStompsInForest3.wavMATRIXXX_ - SciFi Inspect Sound, UI, or In-Game Notification 01.wavmadcowzack - TEXT TYPE SEND RECEIVE iPhone.wavd.n.audio.uk - Broken Egg SquelchYudena - Magic_byMondfisch89.oggjohn9 - electric fence.mp3gprosser - splat2.oggidalize - Fizzing & Bubbling (Bicarbonate of Soda / Baking Powder)coetzee_megan12 - Chain .wavsillygrizzlies - Panicked Running Footsteps on GrassIENBA - Plant Growingtheshaggyfreak - Stabbing Watermelonmagnuswaker - Pound of Flesh 1XfiXy8 - Horrified Female Scream.wavcourtneyeck Falling body hits the floor

On this episode I sit down with indie app builder and designer Chris ****Raroque to walk through his real AI coding workflow. Chris explains how he ships a portfolio of productivity apps doing thousands in MRR by pairing Claude Code and Cursor instead of picking just one tool. He live-demos “vibe coding” an iOS animation, then compares how Claude Code and Cursor's plan mode tackle the same task. The episode closes with concrete tips on plan mode, MCP servers, AI code review, dictation, and deep research so solo devs can build bigger apps than they could alone. Timestamps 00:00 – Intro 03:04 – Which Tools & Models to Use 09:16 – Thoughts on the Vibe Coding Mobile App Landscape 11:14 – Live demo: prompting Claude Code to build an iOS “AI searching” animation 18:07 – Live demo: prompting Cursor with same task 21:02 – Chris's Best Tips for Vibe Coders Key Points You don't have to pick one IDE copilot: Chris actively switches between Claude Code and Cursor because they have different strengths. For very complex bug-hunting, he prefers Cursor with plan mode; for big-picture app architecture, he leans on Claude Code with Opus. Non-developers should start on higher-level “vibe coding” platforms like Create Anything for mobile apps before graduating to Claude/Cursor. Plan mode plus detailed, spoken prompts dramatically improves code quality, especially for UI and animation work. MCP servers and AI code review bots let solo developers safely set up infra, enforce security, and catch bugs they'd otherwise miss. Claude's deep research is a powerful way to choose the right patterns and libraries before handing implementation back to Claude Code or Cursor. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CHRIS ON SOCIAL Youtube: https://www.youtube.com/@raroque X/Twitter: https://x.com/raroque Instagram: https://www.instagram.com/chris.raroque/

Join us as James and Frank delve into the fascinating world of AI-driven UI design with Gemini 3.0, exploring its creative capabilities and potential to revolutionize aesthetics. Discover the latest AI model advancements, including GPT-5.1 and Codex, and gain insights into real-time trace debugging and distributed programming. Plus, we tackle the evolving landscape of Integrated Development Environments, AI tool integrations in Visual Studio Code, and cutting-edge developments in robotics and virtual reality. This episode is a must-listen for anyone interested in the intersection of AI, design, and technology. Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us (https://itunes.apple.com/us/podcast/merge-conflict/id1133064277?mt=2&ls=1) ⭐⭐ Machine transcription available on http://mergeconflict.fm

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Dax Raad, co-founder of OpenCode, for a wide-ranging conversation about open-source development, command-line interfaces, the rise of coding agents, how LLMs change software workflows, the tension between centralization and decentralization in tech, and even what it's like to push the limits of the terminal itself. We talk about the future of interfaces, fast-feedback programming, model switching, and why open-source momentum—especially from China—is reshaping the landscape. You can find Dax on Twitter and check an example of what can be done using OpenCode in this tweet.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop and Dax Raad open with the origins of OpenCode, the value of open source, and the long-tail problem in coding agents. 05:00 They explore why command line interfaces keep winning, the universality of the terminal, and early adoption of agentic workflows. 10:00 Dax explains pushing the terminal with TUI frameworks, rich interactions, and constraints that improve UX. 15:00 They contrast CLI vs. chat UIs, discuss voice-driven reviews, and refining prompt-review workflows. 20:00 Dax lays out fast feedback loops, slow vs. fast models, and why autonomy isn't the goal. 25:00 Conversation turns to model switching, open-source competitiveness, and real developer behavior. 30:00 They examine inference economics, Chinese open-source labs, and emerging U.S. efforts. 35:00 Dax breaks down incumbents like Google and Microsoft and why scale advantages endure. 40:00 They debate centralization vs. decentralization, choice, and the email analogy. 45:00 Stewart reflects on building products; Dax argues for healthy creative destruction. 50:00 Hardware talk emerges—Raspberry Pi, robotics, and LLMs as learning accelerators. 55:00 Dax shares insights on terminal internals, text-as-canvas rendering, and the elegance of the medium.Key InsightsOpen source thrives where the long tail matters. Dax explains that OpenCode exists because coding agents must integrate with countless models, environments, and providers. That complexity naturally favors open source, since a small team can't cover every edge case—but a community can. This creates a collaborative ecosystem where users meaningfully shape the tool.The command line is winning because it's universal, not nostalgic. Many misunderstand the surge of CLI-based AI tools, assuming it's aesthetic or retro. Dax argues it's simply the easiest, most flexible, least opinionated surface that works everywhere—from enterprise laptops to personal dev setups—making adoption frictionless.Terminal interfaces can be richer than assumed. The team is pushing TUI frameworks far beyond scrolling text, introducing mouse support, dialogs, hover states, and structured interactivity. Despite constraints, the terminal becomes a powerful “text canvas,” capable of UI complexity normally reserved for GUIs.Fast feedback loops beat “autonomous” long-running agents. Dax rejects the trend of hour-long AI tasks, viewing it as optimizing around model slowness rather than user needs. He prefers rapid iteration with faster models, reviewing diffs continuously, and reserving slower models only when necessary.Open-source LLMs are improving quickly—and economics matter. Many open models now approach the quality of top proprietary systems while being far cheaper and faster to serve. Because inference is capital-intensive, competition pushes prices down, creating real incentives for developers and companies to reconsider model choices.Centralization isn't the enemy—lack of choice is. Dax frames the landscape like email: centralized providers dominate through convenience and scale, but the open protocols underneath protect users' ability to choose alternatives. The real danger is ecosystems where leaving becomes impossible.LLMs dramatically expand what individuals can learn and build. Both Stewart and Dax highlight that AI enables people to tackle domains previously too opaque or slow to learn—from terminal internals to hardware tinkering. This accelerates creativity and lowers barriers, shifting agency back to small teams and individuals.

Send us a textWhat happens when a steel dealer, a pandemic, and a 3D configurator collide? We bring on IdeaRoom co-founder and CEO, Dan Van Orden, to unpack how builders and dealers moved from paper quotes to mobile-first design that turns curiosity into committed buyers. Dan shares the scrappy origin story—from woodworking plans to full-blown configurators for sheds, carports, post-frame, and red iron—and why the real breakthrough wasn't just 3D visuals, but cleaner processes and smarter pricing logic that reduce errors.We talk through the moments that changed the game: remote screen-shares that closed sales in minutes, branded estimates that land in a customer's inbox before the call ends, and a mobile experience that finally feels natural on a phone. Dan explains Boost, IdeaRoom's streamlined UI that lifts lead conversion without disrupting sales teams, plus the growing set of self-serve tools that let dealers update base and component pricing fast. If steel costs or tariffs force changes, you adjust the rules, keep the guardrails, and keep selling.This conversation leans into the operational side too—onboarding that now takes weeks, not months; support that solves quick wins in minutes; and the power of webhooks and CRM integrations to pass clean specs through your pipeline. We share how TVs in the showroom, live co-design with customers, and clear option rules build trust and speed up approvals. The big takeaway: a customer-facing 3D configurator isn't a gadget; it's your most persuasive salesperson, available on every device, at every hour.If you care about digital sales, steel buildings, sheds, carports, or post-frame marketing, you'll walk away with practical moves to modernize how you sell—without losing the relationships that drive this industry. Subscribe, share this with a builder who still quotes by PDF, and tell us: what's the next bottleneck you want us to break down?For more information or to know more about the Shed Geek Podcast visit us at our website.Would you like to receive our weekly newsletter?  Sign up here.Follow us on Twitter, Instagram, Facebook, or YouTube at the handle @shedgeekpodcast.To be a guest on the Shed Geek Podcast visit our website and fill out the "Contact Us" form.To suggest show topics or ask questions you want answered email us at info@shedgeek.com.This episodes Sponsors:Studio Sponsor: J Money LLC

AWS Principal Solutions Architect Wallace Printz explains how agents are reshaping SaaS business models, pricing strategies, and technical architectures.Topics Include:Wallace Printz discusses agentic workloads transforming SaaS with largest AWS customersNew interaction models include generative UI, voice agents, and proactive workAgents extending SaaS products to interact with external systems and businessesVirtual teammates enabling cross-department collaboration and upskilling non-expert users effectivelyMonetization strategies evolving as predictable costs become variable with agentsThree patterns: dedicated agents, shared agents, and multi-tenant personalized agentsMulti-tenant agents enable hyper-personalized experiences using individual tenant context enrichmentAgent-centric business strategy requires real assessment beyond AI hype cycleAgent orchestration complexity grows with multiple specialized agents interacting togetherTenant isolation requires JWT tokens and AWS Bedrock Agent Core identityCost-per-tenant management needs LLM throttling, tiering, and unified control planeMulti-tenancy creates sticky personalized experiences; AWS white paper releasing soonParticipants:Wallace Printz - Principal Solution Architect, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ste že kdaj slišali, da je nekoga kdo »dal na čevelj«? Ste si ob tem predstavljali, da sedite ali stojite na velikanskem čevlju, ali pa da koga nosijo kot nagrado na šolskem copatu? Danes bomo ugotovili, kaj si o tem misli Filip.Besedila zgodbic o slovenskih frazemih mi je pomagal ustvariti UI. Frazemi so povzeti po spletnih virih: fran.si :Janez Keber: Slovar slovenskih frazemov. Lektorira Tatjana Kovačič, bere Nataša Holy.

Quel est le secret derrière un design qui captive et résonne avec les utilisateurs ? Dans cet épisode de Head Of Design, Paul Menant s'entretient avec Sophie Delrot, VP Global Design chez Locala, qui nous dévoile son parcours fascinant et inspirant dans le monde du design. Dès ses années de lycée, Sophie a découvert sa passion pour le design grâce à une professeure d'art plastique qui a éveillé en elle une curiosité insatiable. Son cheminement académique, qui l'a conduite à l'ESAT et à un BTS en design produit, a été le tremplin vers un univers où le digital et l'expérience utilisateur s'entremêlent.Dans cet épisode, Sophie nous fait découvrir l'importance cruciale de l'intelligence artificielle dans le design moderne. Elle partage son expérience chez Locala, une entreprise qui a su évoluer avec son temps, et nous explique comment elle a contribué à façonner cette transformation. À travers son rôle, elle met en lumière le pouvoir du storytelling dans la conception, soulignant que chaque designer doit impérativement comprendre les besoins profonds des utilisateurs pour créer des produits qui laissent une empreinte durable.Mais le design ne se limite pas à l'esthétique ; il s'agit aussi de gérer des équipes multiculturelles dans un environnement international. Sophie aborde les défis liés à cette diversité et les méthodes innovantes qu'elle utilise pour favoriser la collaboration au sein de son équipe. Comment créer une synergie entre des esprits créatifs venus de différents horizons ? Les réponses de Sophie sont à la fois éclairantes et motivantes.Enfin, elle nous offre une sélection de livres incontournables sur le design, des ressources précieuses pour quiconque souhaite approfondir ses connaissances dans ce domaine en constante évolution. Sophie nous rappelle également que l'émotion joue un rôle clé dans la création de produits qui touchent véritablement les utilisateurs. Dans un monde où l'innovation est reine, il est essentiel de ne jamais perdre de vue l'impact émotionnel que nos créations peuvent avoir.Rejoignez-nous pour cet épisode captivant de Head Of Design, où le design rencontre la technologie, la culture et l'émotion. Préparez-vous à être inspiré par le parcours de Sophie et à découvrir les clés d'un design réussi qui parle aux cœurs et aux esprits.Vous avez laissé votre manteau au vestiaire… Bienvenue dans le club !

I det här avsnittet grottar vi ner oss i testning: varför vi egentligen testar, hur AI-assisterad kodning förändrar vårt sätt att se på programmering och varför bra tester är en förutsättning för att våga refaktorera kod över tid.   Följ med Henrik Ebbeskog, Stefan Alexakis Rulli och Johan Nordberg på resan från TDD/BDD-ideal och 100% code coverage till ett mer pragmatiskt förhållningssätt där syftet - att lösa riktiga problem för användare - är viktigare än perfekta tester. Vi jämför enhetstester och integrationstester, bråkar lite om mocks, erkänner hur svår UI-testning faktiskt är och landar (såklart) i att “it depends” nästan alltid är det ärligaste svaret.

Samtidigt som kriget mellan Ukraina och Ryssland går in på sitt fjärde år och europeiska ledare pendlar fram och tillbaka till Washington, har EU och USA lyckats enas om ett nytt handelsavtal. Det råder ingen tvekan om att mycket händer - både inom och utanför EU.Historiskt har EU visat att unionen förmår hantera kriser: finanskrisen, migrationskrisen och Covid-19-pandemin. Men många menar att dessa utmaningar utspelade sig i en helt annan omvärld än dagens, där USA, Kina och Ryssland agerar efter nya spelregler. Det väcker frågan: Vad betyder detta för Europas framtid?I det här poddavsnittet diskuterar Göran von Sydow, direktör för Svenska institutet för Europapolitiska studier, och Björn Fägersten, seniorforskare vid UI och chef för analysföretaget Politea, hur EU egentligen mår och vilka centrala vägval unionen står inför. Samtalet leds av Pasi Huikuri, programansvarig för säkerhetspolitik vid Folk och Försvar.

Nominate Vtubers for Awards! https://forms.gle/xZ5pHHoK6AoQzgc87 Buy Merch Here!  https://otamerch.shop/ Each week we aim to bring together the biggest events in Vtubing and talk about what's been going on. Stop by, hang out, and let's catch up with us! Join this discord : https://discord.gg/M7tVYWTSFR Follow here for updates: https://twitter.com/SuperChatsPod Shorts over here: https://www.tiktok.com/@superchatspod Playlist of music: https://www.youtube.com/playlist?list=PLp6uXoGNUwk9Tq0NWOwaCLGruX0XdVBfd 00:00:00 Intro 00:11:10 Densetsu.EXE 00:17:02 Mint Fantome 00:24:56 Phoebe 00:37:04 Victoria Roman 00:53:03 V4Mirai Aura Rain (Komo Dokueki) 00:59:53 Serina Maiko 01:01:32 Ao Wuwu 01:03:29 Paige Terner 01:10:26 Nerissa's Birthday Live 01:21:24 Flow Glow 3D Live 01:26:35 Raora's Hiatus 01:29:48 New Mori Album: Disasterpiece 01:31:49 Niko's Dad Played Guitar On Stage with Her 01:32:20 Jurard's New Project 01:33:46 Alias Anono will Return 01:35:45 Mozzu's Donothon 01:36:50 Utanovember is Coming to a Close 01:37:46 Matara's New Outfit 01:41:39 Heartsync Debuts 01:41:54 Siena Olena 01:46:07 Kumu Cotton 01:49:35 Miki Kokoa 01:52:18 Drawn to Dawn Concert Announced 01:53:22 Nene Amano's 3D Live! 01:55:22 Mori's New Song: Gold Unbalance 01:56:53 Risu's MIR//or 01:57:02 Phase Songs 01:57:20 Pico's Journey of Dreams 01:57:46 Ruby Runeheart's Love CHU! 01:58:08 Chikafuji Lisa's Everglow 01:58:40 Ironmouse, Rissa, and Liz covered Expedition 33 01:59:13 HoloJustice covered I Wanna Be Your Slave 02:00:09 Marine, Ui, Lunlun, and Ao covered Smiling Research Team theme 02:00:32 Lia's Gachimuchi Deep Dive 02:02:08 Jelly played Ball x Pit 02:03:16 Gigi's Been Attacked 02:05:38 Other Stuff Nick Watched 02:09:49 Community and Shilling 02:17:01 Birfdays

Live from Bangkok - 4 Mind-Blowing AI Use Cases from Our First MeetupWe're coming to you live from Bangkok after hosting our very first Create With AI meetup in Thailand - and it was absolutely incredible! The event sold out weeks in advance, and we got to see four amazing speakers showcase real-world AI applications they've built without traditional coding.In this episode, James joins from Bangkok while Kieran dials in from Norwich to break down everything that happened at the event and discuss the latest developments in AI and no-code tools.The 4 Bangkok Use Cases:1. Instagram AI Agent for E-commerce (Jake)An automated system built in Make that responds to Instagram comments with full product knowledge - inventory, pricing, store locations, all in brand voice. Game-changing for e-commerce customer service.2. Vacation Booking Platform (Stuart)A complete vacation booking system built with Claude Code that integrates with Airbnb's APIs. Stuart showed us how he's tapping into external platforms to create a full-featured booking dashboard.3. Medical Lab Dashboard (Natt)This one blew our minds. Natt came from a biochemistry background and replaced 170 separate Google Forms with one unified dashboard using Xano + Claude Code. She showed us why separating your backend (Xano) from frontend (AI-generated) might be the secret sauce for non-coders building production apps.4. Thailand's No-Code Movement (Opal)Opal runs a 10,000+ member Facebook group dedicated to no-code in Thailand, proving just how advanced and thriving the builder community is over there.What Else We Cover:The Xano + Claude Code strategy: Why building your data structure visually and letting AI handle the UI might be the winning approach for non-technical buildersAI Model Updates: Breaking down Gemini 3's Imagen breakthrough, Claude Opus 4.5's cost reduction, and why ChatGPT keeps confidently lying about datesDesign's Future: Insights from a 20-person design agency founder on whether AI will replace designers (spoiler: only the bad ones)Vibe Coding Reality Check: What experienced developers actually think about AI coding tools and where they still fall shortGoogle's Project IDX: First impressions of the new "Anti-Gravity" code editor from the ex-Windsurf teamCodex vs Claude Code vs Cursor: What we're actually using day-to-day and whyCommunity Spotlight: TechFoundHer's new "We Build" program aiming to get 150 women into building tech venturesUpcoming:Norwich meetup in DecemberMore UK events in the NorthFuture Asia meetups in planningBig announcement coming next week!Want to host your own Create With meetup? Check out our Ambassador Program at https://createwithhq.notion.site/2ab7b439d1fc8080bdcfe7dd1ea2ab69?pvs=105Follow the hosts:James Devonport: @jamesdevonport on XKieran Ball: @kieranball on XLearn more and find events near you:

Points of Interest0:01 – 01:27 – Introduction: Marcel welcomes returning guest Vito Peleg, CEO of Atarim, and frames the conversation around how agencies can streamline creative collaboration and leverage AI to improve delivery efficiency and profitability.01:28 – 03:27 – From Touring Musician to Collaboration Software Founder: Vito shares his backstory as a touring musician building websites from a van, then running a web agency, and how constant friction getting clients to give timely, clear feedback led to the first version of Atarim as a WordPress plugin.03:27 – 06:46 – The True Cost of Collaboration on Delivery Timelines: Marcel highlights how reducing delivery time by 50–70% transforms profit and cash flow, and Vito reframes the issue by showing that collaboration with clients and stakeholders routinely increases project timelines by 500–700%.06:46 – 10:06 – Why Text-Based Feedback Breaks Creative Work: Vito explains that human feedback is naturally three to five words and visual, but agencies force clients into long, text-heavy descriptions via email, docs, and tickets, creating procrastination, dead time, and constant misalignment.08:39 – 10:06 – Vague Feedback and Week-Long Clarification Cycles: Citing Atarim's data, Vito notes that 68% of creative comments written in text are too vague to action on first pass, leading to clarification cycles that typically add a full week to even simple tasks like updating a slide.10:12 – 15:07 – Building Momentum and “Two Days and a Weekend”: In response to Marcel's question about where agencies lose the most efficiency, Vito argues the biggest gap is at project start and introduces the “two days and a weekend” framing plus fast, simple deliverables (like a sitemap) to create momentum and urgency.15:15 – 17:28 – Getting Imperfect Work in Front of Clients Early: Marcel and Vito discuss reframing early deliverables explicitly as rough first passes so clients expect to react rather than receive perfection, reducing sunk-cost risk and speeding up alignment on direction.17:28 – 24:49 – How AI Is Compressing Build Time and Changing UI: Vito describes the evolution from hand-coded sites to drag-and-drop builders and now prompt-driven interfaces, arguing that AI will shrink creation time so dramatically that collaboration will become an even larger relative drag on projects.22:29 – 25:56 – The Future of Figma, Builders, and Dynamic Interfaces: Vito predicts that the traditional Figma-to-dev pipeline will erode as tools let teams go from prompt to production UI, while Marcel adds a Google perspective on a future where AI dynamically renders interfaces tailored to each user.30:37 – 37:42 – Agencies as Orchestrators of AI Agents, Not Just Humans: Vito outlines a future where agency owners orchestrate a team of AI agents instead of being the “talent,” potentially pricing work by tokens instead of dev hours, and using agents to automate follow-ups, support, and clarification cycles like Atarim's Claro.39:14 – 45:19 – Atarim's Agentic Creative Team Vision and Next Steps: Vito explains how Atarim is building a multi-human, multi-agent collaboration environment where specialized AI teammates (design, accessibility, performance, PM) work together in threads, and invites listeners to explore the early-access experience at Atarim.io.Show NotesConnect with Vito via LinkedInWebsite: Atarim.ioLove the PodcastLeave us a review here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

L'IA conversationnelle, l'arrivée des agents intelligents et leur intégration profonde dans Windows 11 transforment l'usage du PC, entre gain de productivité, sécurité renforcée et protection des données personnelles.Interview : Xavier Perret, Directeur Cloud Azure & IA, Microsoft FranceL'IA devient la nouvelle interface : qu'est-ce que cela change pour les utilisateurs ?L'IA transforme profondément la manière dont on interagit avec nos appareils. Comme le dit Satya Nadella, AI is the new UI. Concrètement, sous Windows 11, la barre de tâches devient un point d'entrée intelligent : plus besoin d'ouvrir l'application adéquate, je lui parle directement. Je peux lui demander de configurer mon PC, diagnostiquer un souci, lancer un agent de recherche ou créer un document. Et avec les nouveaux PC équipés de NPU, l'IA peut travailler en tâche de fond : je délègue une synthèse, une enquête documentaire, et pendant ce temps je fais autre chose. On entre dans un modèle beaucoup plus naturel et productif, pour les particuliers comme pour les entreprises.Pourquoi cette nouvelle génération d'agents IA est-elle plus pertinente ?Nous sommes arrivés à un stade de maturité où les agents ne se contentent plus de converser : ils agissent. Ce qui manquait auparavant, c'était l'ancrage dans le contexte. Aujourd'hui, grâce à des technologies comme Microsoft Fabric ou WorkIQ, on réconcilie données structurées et non structurées pour offrir une compréhension beaucoup plus fine. Les agents deviennent spécialisés et adaptés aux usages réels. Je me suis par exemple créé un agent dédié à la randonnée sur plusieurs jours : il calcule mes itinéraires, dénivelés, temps de marche… un vrai assistant expert. Cette pertinence change tout dans l'adoption.Comment garantir la sécurité, la confidentialité et éviter les dérives ?La confiance repose sur plusieurs piliers. D'abord, la sobriété des données : n'utiliser que ce qui est nécessaire. Ensuite, un cadre clair : les données des clients restent leurs données et restent en Europe, dans des infrastructures conformes comme Azure avec ses régions européennes. Mais l'enjeu majeur d'aujourd'hui, c'est l'observabilité : s'assurer que les agents font bien ce qu'on leur demande, pouvoir vérifier, auditer, détecter un jailbreak, ou une tentative malveillante. Nous intégrons désormais des gardes-fous natifs, y compris des IA qui surveillent les IA, au sein de plateformes comme Foundry. Et nous insistons sur un point : ne pas tomber dans la surconfiance. Un agent reste faillible ; il aide, mais il ne remplace pas le jugement humain, surtout dans les décisions à impact.Ces évolutions sont-elles déjà accessibles ?Pour beaucoup, oui. Certaines capacités de Windows 11 sont déjà disponibles, et les nouveaux PC avec NPU débloquent encore plus de scénarios. Les outils liés à Fabric ou à WorkIQ existent déjà dans les entreprises. Nous ne parlons pas d'une technologie futuriste à 5 ans : c'est un mouvement en cours, que chacun peut commencer à explorer dès maintenant à travers Copilot et les nouveaux agents IA.-----------♥️ Soutien : https://mondenumerique.info/don

On this episode I sit down with indie app builder and designer Chris Raroque to break down how solo developers can make apps that truly stand out in a world of “vibe-coded” clones. Chris walks through concrete examples from his own products, Ellie (planning), Luna (budgeting), and Amy (calorie tracking), showing how small details in animations, interactions, and haptics dramatically change how an app feels. We dig into mascots and illustrations, iconography and typography, widgets and Apple Watch apps, and the design resources Chris studies to sharpen his eye. The episode is a practical blueprint for turning AI-assisted prototypes into polished, premium-feeling apps that users remember and keep coming back to. Timestamps 00:00 – Intro 03:54 – Animation and Interactions 20:50 – Illustrations and Mascots 33:57 – Iconography and Typography 37:28 – Widgets 43:04 – Design Inspiration Resources Key Points In a world where anyone can ship an AI-generated app in 24 hours, polish and interaction design are the real differentiators. Thoughtful animations, micro-interactions, and haptics can be the difference between a tweet that flops and one that goes viral. Mascots and custom illustrations give apps a recognizable personality and can transform empty states and onboarding into memorable moments. Consistent iconography and basic typography choices have outsized impact on perceived quality, yet are often overlooked by “vibe-coded” apps. Home screen, lock screen, and watch widgets act as retention engines by giving apps constant real estate in users' daily flows. Continuously studying well-designed apps and curated UI libraries sharpens design taste and makes it easier to brief AI tools effectively. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CHRIS ON SOCIAL Youtube: https://www.youtube.com/@raroque  X/Twitter: https://x.com/raroque  Instagram: https://www.instagram.com/chris.raroque/

This week on Marketing O'Clock: Google rolls out AI-assisted brand query filters in Search Console, launches Nano Banana Pro for Gemini 3 image generation in Google Ads, and confirms that “Brand Inclusions” in Shopping was a UI bug. Also, Gemini 3 now powers AI Mode, and search volatility continues.Visit us at - https://marketingoclock.com/Try Cookiebot - http://marketingoclock.com/cookiebot

Allie Ofisher is a UX designer and consultant with deep roots in systems thinking, visual design, and user research. She's worked with countless teams to help them understand what they're building, why they're building it, and how to bring clarity to complex products using OOUX. As the lead steward of the Representation Round at OOUX, Allie brings her sharp visual eye and her obsession with relationships, context, and user mental models to everything she touches.In this episode of the UX Level Up Podcast, Sophia and Allie dig into Relationship Representation—how to avoid isolated objects, why contextual navigation matters more than top-down menus, and how Nested Object Matrixes (NOM) unlock innovation, break down silos, and transform collaboration with product owners and developers. They explore how disconnected UI patterns often point to deeper organizational issues, how research questions reveal real user needs, and how OOUX gives teams a shared language for designing systems that actually think the way users think.LINKS:Check out Allie's websiteConnect with Allie on LinkedIn Catch up on episodes of OOUX We did it Again The Self-Paced OOUX Masterclass 3.0 is coming soon! Join the waitlist now for a black Friday surprise!Continue the conversation on the OOUX Forum!

Speaker: Professor Lilian Edwards, Emeritus Professor of Law, Innovation & Society, Newcastle Law School Biography: Lilian Edwards is a leading academic in the field of Internet law. She has taught information technology law, e-commerce law, privacy law and Internet law at undergraduate and postgraduate level since 1996 and been involved with law and artificial intelligence (AI) since 1985. She is now Emerita Professor at Newcastle and Honorary Professor at CREAte, University of Glasgow, which she helped co-found. She is the editor and major author of Law, Policy and the Internet, one of the leading textbooks in the field of Internet law (Hart, 2018, new edition forthcoming with Urquhart and Goanta, 2026). She won the Future of Privacy Forum award in 2019 for best paper ("Slave to the Algorithm" with Michael Veale) and the award for best non-technical paper at FAccT in 2020, on automated hiring. In 2004 she won the Barbara Wellberry Memorial Prize in 2004 for work on online privacy where she invented the notion of data trusts, a concept which ten years later has been proposed in EU legislation. She is a former fellow of the Alan Turing Institute on Law and AI, and the Institute for the Future of Work. Edwards has consulted for inter alia the EU Commission, the OECD, and WIPO.Abstract: The right to an explanation is having another moment. Well after the heyday of 2016-2018 when scholars tussled over whether the GDPR ( in either art 22 or arts 13-15) conferred a right to explanation, the CJEU case of Dun and Bradstreet has finally confirmed its existence, and the Platform Work Directive has wholesale revamped art 22 in its Algorithmic Management chapter. Most recently the EU AI Act added its own Frankenstein-like right to an explanation (art 86) of AI systems .None of these provisions however pin down what the essence of the explanation should be, given many notions can be invoked here ; a faithful description of source code or training data; an account that enables challenge or contestation; a “plausible” description that may be appealing in a behaviouralist sense but might be actually misleading when operationalised eg to generate a medical course of treatment. Agarwal et al argue that the tendency of UI designers, and regulators and judges alike to lean towards the plausibility end, may be unsuited to large language models which represent far more of a black box in size and optimisation than conventional machine learning, and which are trained to present encouraging but not always accurate accounts of their workings. Yet this is also the direction of travel taken by CJEU Dun & Bradstreet , above. This paper argues that explanations of large model outputs may present novel challenges needing thoughtful legal mandates.For more information (and to download slides) see: https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars

פרק מספר 505 של רברס עם פלטפורמה - באמפרס מספר 89, שהוקלט ב-13 בנובמבר 2025, רגע אחרי כנס רברסים 2025 [יש וידאו!]: רן, דותן ואלון (והופעת אורח של שלומי נוח!) באולפן הוירטואלי עם סדרה של קצרצרים מרחבי האינטרנט: הבלוגים, ה-GitHub-ים, ה-Claude-ים וה-GPT-ים החדשים מהתקופה האחרונה.

On today's episode I stress-test Gemini 3.0 in Google AI Studio to see how good it really is as a designer, not just a code generator. Across the episode, I ask Gemini to redesign my personal website in a Windows XP–inspired style, build a restaurant analytics SaaS dashboard, and create a workout mobile app inspired by the “Brain Rot” app. Along the way, I experiment with prompts, visual annotations, and reference images to see how well Gemini takes feedback. By the end, he's rating each build. Timestamps 00:00 – Intro 00:54 – Personal Website 15:48 – SaaS 21:52 – Mobile App 26:35 – AntiGravity 27:17 – Final rating and takeaways Key Points Gemini 3.0 can now generate full, styled web and mobile UIs (not just “purple Tailwind vibe-coded” layouts) when given strong prompts and references. greg-take-02 A Windows XP–themed personal site, built from a screenshot and a short prompt, impresses Greg enough that he considers redoing his actual homepage. greg-take-02 Visual annotation inside Google AI Studio (drawing on the canvas and commenting) is a powerful way to refine icons, backgrounds, and layout without “speaking designer.” greg-take-02 A restaurant analytics SaaS dashboard (“Chef OS”) shows how combining Dribbble shots + Teenage Engineering hardware as references pushes Gemini toward more tactile, “real button” UI. greg-take-02 The “Gains” workout app, modeled on the Brain Rot app, demonstrates that AI can remix an existing product pattern into a new behavior-change app with streaks, goals, and a reactive mascot. greg-take-02 Greg's big takeaway: good ideas + taste + references + Gemini 3.0 let non-designers ship highly differentiated experiences, raising their odds of standing out. greg-take-02 The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

We weigh the promise and peril of the AI agent economy, pressing into how overprovisioned non-human identities, shadow AI, and SaaS integrations expand risk while go-to-market teams push for speed. A CMO and a CFO align on governance-first pilots, PLG trials, buyer groups, and the adoption metrics that sustain value beyond the sale.• AI adoption surge matched by adversary AI• Overprovisioned agents and shadow AI in SaaS• Governance thresholds before budget scale• PLG trials, sandbox, and POV sequencing• Visualization to reach the aha moment• Buying groups, ICP, and economic buyer alignment• Post‑sales usage, QBRs, NRR and churn signals• Zero trust limits and non-human identities• Breach disclosures as industry standards• Co-sourcing MSSP with in-house oversightSecurity isn't slowing AI down; it's the unlock that makes enterprise AI valuable. We dive into the AI agent economy with a CMO and a CFO who meet in the messy middle. The result is a practical blueprint for moving from hype to governed production without killing momentum.We start by mapping where controls fail: once users pass SSO and MFA, agents often operate beyond traditional identity and network guardrails. That's how prompts pull sensitive deal data across Salesforce and Gmail, and how third‑party API links expand the attack surface. From there, we lay out an adoption sequence that balances trust and speed. Think frictionless free trials and sandboxes that reach an immediate “aha” visualization of shadow AI and permissions, then progress to a scoped POV inside the customer's environment with clear policies and measurable outcomes. Along the way, we detail the buying group: economic buyers who sign and practitioners who live in the UI, plus the finance lens that sets pilot capital, milestones, and time-to-value expectations.We also challenge sacred cows. Zero trust is essential, but attackers increasingly log in with valid credentials and pivot through integrations, so verification must include non-human identities and agent-to-agent controls. Breach disclosures, far from being a greater threat than breaches, are foundational to ecosystem trust and faster remediation. And while MSSPs add critical scale, co-sourcing—retaining strategic oversight and compliance ownership—keeps accountability inside. If you care about ICP, PLG motions, PQLs, NRR, or simply reducing AI risk while driving growth, this conversation turns buzzwords into a playbook you can run.Vamshi Sriperumbudur: https://www.linkedin.com/in/vamsriVamshi Sriperumbudur was recently the CMO for Prisma SASE at Palo Alto Networks, where he led a complete marketing transformation, driving an impact of $1.3 billion in ARR in 2025 (up 35%) and establishing it as the platform leader.  Chithra Rajagopalan - https://www.linkedin.com/in/chithra-rajagopalan-mba/Chithra Rajagopalan is the Head of Finance at Obsidian Security and former Head of Finance at Glue, and she is recognized as a leader in scaling businesses. Chithra is also an Investor and Advisory Board member for Campfire, serving as the President and Treasurer of Blossom Projects.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

Send us a text25-50% of women suffer from some form of Urinary Incontinence but fail to report their symptoms to their health care team. UI is highly treatable without surgery in many cases and is not a normal part of aging.nafc.orgsimonfoundcation.orgSupport the showSeniorSupportStrategies.com when you need guidance navigating senior care or how to create your own Aging in Place strategy.

Sherif Mansour, Head of AI at Atlassian, discusses bridging AI agents with massive-scale enterprise software deployment, drawing insights from Atlassian's millions of non-technical users. He shares his framework for avoiding "AI Slop" using Taste, Knowledge, and Workflow, and explains Atlassian's "Teamwork Graph" for complex enterprise queries beyond RAG. The conversation also explores the evolving relationship between AI and UI, and the shift from humans as workers to architects of AI-driven processes. This episode offers practical wisdom for both AI engineers and business leaders navigating the future of AI-enabled organizations. Sponsors: Framer: Framer is the all-in-one tool to design, iterate, and publish stunning websites with powerful AI features. Start creating for free and use code COGNITIVE to get one free month of Framer Pro at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (03:56) Atlassian's AI Vision (08:27) Trust, Authenticity, and Slop (14:10) Taste, Knowledge, and Workflow (Part 1) (17:33) Sponsors: Framer | Tasklet (20:14) Taste, Knowledge, and Workflow (Part 2) (Part 1) (29:51) Sponsor: Shopify (31:47) Taste, Knowledge, and Workflow (Part 2) (Part 2) (31:48) Technicals: RAG vs. Graphs (40:48) Forgetting, Cost, and Optimization (52:28) The Model Commoditization Debate (55:12) The Future of AI Interfaces (01:02:44) How AI Changes SaaS (01:09:43) Debating the One-Person Unicorn (01:16:17) Becoming a Workflow Architect (01:21:39) The Browser for Work (01:33:23) How Leaders Drive Adoption (01:39:26) Conclusion: Just Go Tinker (01:40:08) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It's an exciting conversation you won't want to miss.Highlights from this week's conversation include:Welcoming Paul Back and Industry Changes (1:03)AI Model Progress and Superhuman Domains (2:01)AI as an Employee: Context and Capabilities (4:04)Model Selection and User Experience (7:37)AI as a McKinsey Consultant: Decision-Making (10:18)Structured vs. Unstructured Data Platforms (12:55)MCP Servers and the Future of BI Interfaces (16:00)Value of UI and Multimodal BI Experiences (18:38)Pitfalls of DIY Data Pipelines and Governance (22:14)Text-to-SQL, Semantic Layers, and Trust (28:10)Democratizing Semantic Models and Personalization (33:22)Inefficiency in Analytics and Analyst Workflows (35:07)Reasoning and Intelligence in Monitoring (37:20)Roadmap: Proactive AI by 2026 (39:53)Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Get a private, on-screen walkthrough of Google's new Gemini 3.0 with Logan Kilpatrick. We vibe-code full apps, games, and product UIs in real time. You'll see how to go from raw idea to working product in a single prompt, then iterate visually with design, features, and AI workflows. They turn an IdeaBrowser concept into a live talent-matching platform, screenshot-clone the IdeaBrowser UI, wire up a “generate tomorrow's idea” feature grounded in Google Search, and even add co-founder matching on top. If you're building with AI or still on the fence, this episode shows what's now possible with Gemini 3.0 Pro in AI Studio. Timestamps 00:00 – Intro 01:00 – What Gemini 3 is and where it lives (Gemini app, AI Studio, API) 03:03 – Vibe Coding 3D games 09:27 – Vibe Coding an idea from IdeaBrowser 25:02 – Screenshot-cloning the IdeaBrowser UI and regenerating it in Gemini Key Points Gemini 3.0 Pro in AI Studio lets you “vibe code” full apps—UI, logic, and AI features—from natural-language prompts, then iteratively refine them. Games and complex simulations are a stress-test and showcase for the model's capabilities, not just toys. You can paste an entire business idea (like IdeaBrowser's generational talent-matching concept) into AI Studio and get a working, multi-screen product with AI-powered workflows. Gemini 3.0 Pro is free to use inside AI Studio up to generous limits, and the API is priced at $2 per million input tokens and $12 per million output tokens under 200K input tokens. Screenshot-driven UI cloning plus “add five more features” prompts are powerful loops for product and UX ideation. You can layer social features like co-founder matching directly on top of idea-discovery products with only a few additional prompts. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK  Youtube: https://www.youtube.com/@LoganKilpatrickYT  LinkedIn: https://www.linkedin.com/in/logankilpatrick/

Episode SummaryIn this conversation, Robby sits down with software engineer and author Chris Zetter to explore what building a relational database from scratch can teach us about maintainability, architectural thinking, and team culture. Chris shares why documentation often matters more than perfectly shaped code, why pairing accelerates learning and quality, and why “boring technology” is sometimes the most responsible choice. Together they examine how teams get stuck in local maxima, how junior engineers build confidence, and how coding agents perform when asked to implement a database.Episode Highlights[00:01:00] What Makes Software MaintainableChris explains that well-maintained software is defined by how effectively it helps teams deliver value and respond to change. In some domains—like payroll systems—the maintainability burden shifts toward documentation rather than code organization.[00:03:50] Documentation vs. Code CommentsHe describes visual docs, system diagrams, and commit–ticket links as more durable sources of truth than inline comments, which tend to rot and discourage refactoring.[00:05:15] Rethinking Technical DebtChris argues that teams overuse the metaphor. He prefers naming the specific reason something is slow or brittle—like outdated libraries or rushed decisions—because that builds trust and clarity with product partners.[00:07:45] Where Core Debt Really LivesEarlier in his career he obsessed over long files; now he focuses on structural issues. Architecture, boundaries, and naming affect changeability far more than messy internals.[00:08:15] Pairing as the Default ToolChris loves pairing for its speed, clarity, and shared context. Remote pairing has removed obstacles like mismatched keyboard setups or cramped office seating. Tools like Tuple and Pop keep it smooth.[00:10:20] The Mob Tool and Fast Driver SwitchingHe explains how the Mob CLI tool makes switching drivers nearly instant, which keeps energy high and lets everyone work in their own editor environment, reducing friction and fatigue.[00:13:45] Pairing with Junior EngineersPairing helps newer developers avoid painful pull-request rework and builds confidence. But teams must balance pairing with opportunities for engineers to build autonomy.[00:20:50] Getting Feedback SoonerChris emphasizes speed of feedback: showing progress early to stakeholders prevents wasted days—and sometimes weeks—of heading in the wrong direction.[00:21:10] Boring Technology as a FeatureAfter being burned by abandoned frameworks, Chris champions predictable, well-supported tools for the big layers: language, framework, database. Novelty is great—but only in places where rollback is cheap.[00:23:20] Balancing Professional Development with Organizational NeedsDevelopers want experience with new technology; organizations want stability. Chris describes how leaders can channel curiosity safely and productively.[00:27:20] Build a Database ServerChris's book, Build a Database Server, is a practical, language-agnostic guide to building a relational database from scratch. It uses a test suite as a feedback loop so developers can experiment, refactor, and learn architectural trade-offs along the way.[00:31:45] What Writing the Book Taught HimCreating a database deepened his appreciation for Postgres maintainers. He highlights the number of moving parts—storage engine, type system, query planner, wire protocol—and how academic papers often skip hands-on guidance.[00:33:00] Experimenting with Coding AgentsChris tested coding agents by giving them the book's test suite. They passed many tests but produced brittle, incoherent architecture. Without a feedback loop for quality, the agents aimed only to satisfy test conditions—not build maintainable systems.[00:36:55] Escaping a Local Maxima Through a Design SprintChris shares a story of a team stuck maintaining a system that no longer fit business needs. A design sprint gave them space to reimagine the system, clarify naming, validate concepts, and identify which pieces were worth reusing.[00:40:40] Rewrite vs. RefactorHe leans toward refactor for large systems but supports small, isolated rewrites when boundaries are clear.[00:41:40] Building Trust in Legacy CodeWhen inheriting an old codebase, Chris advises starting with a small bug fix or UI tweak to understand deployment pipelines, test coverage, and failure modes before tackling bigger improvements.[00:43:20] Recommended ReadingChris recommends _Turn the Ship Around! for its lessons on empowering teams to act with intent instead of waiting for permission.Resources MentionedBuild a Database ServerChris Zetter's blogThe Mob Programming CLI ToolTuplePopTurn the Ship Around!Thanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

In this episode of the HTML All The Things Podcast, Mike walks through the new web development tech that's been landing on his radar. From next-gen formatters and bundlers to emerging UI frameworks and terminal-UI toolkits, Mike breaks down what each tool is, why it matters, and where its limitations are today. In this episode Matt and Mike cover: BiomeJS - all-in-one formatter/linter with strong Prettier compatibility Ripple - an experimental TypeScript-first UI framework TanStack Start - a router-first full-stack framework for React/Solid Hono.js - tiny, blazing-fast multi-runtime web framework Rolldown - Rust-powered bundler with major Vite build speed gains Effect - type-safe effects/concurrency runtime for TypeScript OpenTUI - build rich terminal UIs using React/Solid renderers If you want a curated look at early-stage tools shaping how we might build for the web in 2025, Mike's got you covered. Show Notes: https://www.htmlallthethings.com/podcast/new-web-development-tech-thats-on-my-radar Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

What if AI could make your work more creative instead of more crowded? We sit down with Scott Werner to unpack a practical path for Ruby developers who want the leverage of AI without sacrificing taste, clarity, or joy. From agentic coding with Claude Code to context-rich tools like Tidewave, we walk through how better inputs—logs, DOM access, database state—turn generic suggestions into usable plans that reduce cognitive load and speed up real problem solving.Scott shares the origin story of Artificial Ruby, a New York meetup that started as a casual happy hour and became a monthly mini conference. That community energy matters: many devs began their careers remotely and missed the spark of live conversations. By focusing on play and curiosity, the group channels the early Ruby vibe—ship small experiments, trade sharp feedback, and rediscover the fun of making software together. That ethos powers Scott's projects: Monkey's Paw, a prompt-based web framework that leans into expressive generation, and Latent Library, a hallucinatory book explorer that asks what new interfaces AI enables.We also tackle the “slop generator” problem and how to curb it. Different models have different tendencies, so route tasks where they fit: broad ideation to one, surgical changes to another. Constrain edits, ask for reasoning before code, and hand the model real context so it can propose focused steps. The same philosophy informs testing with computer-use models: if an agent can't find your logout or complete checkout by looking at the UI, maybe your users struggle too. Rather than replacing developers, these tools elevate the craft—pushing commodity work downward while widening the canvas for design, problem framing, and tasteful implementation.Want more? Check out ArtificialRuby.ai for upcoming events and videos, explore LatentLibrary.xyz, and find Scott's essays and tutorials at WorksOnMyMachine.ai. If this conversation helps you rethink your workflow, follow, share with a teammate, and leave a review so more builders can join the experiment.Send us some love. HoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleAutoscaling that actually works. Take control of your cloud hosting.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

Show DescriptionWhat do Balatro streamers do when the game is over, Random in CSS is so hot right now, Dave has a better idea for charts and graphs that would change the world, Quiet UI follow up, Dave tries vibe coding a tennis app and doesn't completely John McEnroe his laptop, Chris wonders about better cursor UI on the web, and debating affordances vs conventions. Listen on WebsiteWatch on YouTubeLinks Jynxzi - Twitch BALL x PIT on Steam Could Open Graph Just Be a CSS Media Type? | Scott Jehl, Web Designer/Developer https://webawesome.com Podcast Awesome Quiet UI A Beautiful Site Eleventy is a simpler static site generator Don't use custom CSS mouse cursors – Eric Bailey Home | Rach Smith's digital garden The Two Button Problem – Frontend Masters Blog SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

In this episode, PowerShell Podcast host Andrew Pla chats with Dan Cunningham, Strategic Innovation Leader for PowerShell App Deployment Toolkit (PSADT), about the history, architecture, and evolution of the open-source framework used for enterprise software deployment. Dan explains how PSADT simplifies installs, improves logging, enhances user experience with UI dialogs, and provides consistency across environments. He also discusses the latest release, v4.1, which removes the need for Microsoft's ServiceUI, boosting both security and usability for Intune and SCCM deployments.   Key Takeaways: Smarter software deployments – PSADT provides a structured, battle-tested framework for automating installs, repairs, and removals, saving IT teams time while improving consistency and reliability. Security and stability first – The 4.1 release replaces the risky ServiceUI dependency, strengthening system security and making UI deployments safer and easier. Open source with enterprise value – With over a decade of community use, PSADT continues to evolve through collaboration, defensive coding, and lessons learned from real-world enterprise use. Guest Bio: Dan Cunningham is the Co-Founder and Strategic Innovation Leader behind the PowerShell App Deployment Toolkit (PSADT) at Patch My PC. A long-time open-source contributor and frequent conference speaker, Dan has held leadership roles at several orgs, helping Fortune 500 companies secure and manage complex IT environments. His 15-year tenure at PwC in Ireland and Canada laid the groundwork for PSADT's creation — where it was first put to the test.   Resource Links: PowerShell App Deployment Toolkit (PSADT) – https://psappdeploytoolkit.com Dan Cunningham on LinkedIn – https://www.linkedin.com/in/sintaxasn/ Dan on BlueSky – https://x.com/sintaxasn Connect with Andrew - https://andrewpla.tech/links PDQ Discord – https://discord.gg/PDQ PowerShell Wednesdays – https://www.youtube.com/watch?v=2-d16gi3VEc 2026 State of SysAdmin Form - https://conjointly.online/study/627204/sdzoxv8vtq41rshsbtly The PowerShell Podcast on YouTube: https://youtu.be/y3zWcb8ulVw

In this episode of Technology Reseller News, Doug Green interviews Lyle Pratt, Founder & CEO of Vida.io, following the company's announcement of a $4 million Series A funding round—a major milestone marking rapid growth, platform maturity, and expanding traction across MSPs, SaaS vendors, and business software providers. Pratt explains that Vida.io is an AI Agent Operating System for business, designed to help companies deploy, manage, monitor, and scale AI agents that perform real work across voice, SMS, email, and web chat. While many products offer a chatbot or voice agent, Vida.io delivers the full operational backbone required for real-world use: observability, SOC 2/HIPAA compliance, billing-as-a-service, UI components, and detailed interaction scoring. Since the last podcast, Vida.io has grown dramatically, surpassing 100 million AI agent interactions and onboarding a rapidly expanding network of partners. Initially focused on MSPs, the platform is now widely adopted by SaaS companies that embed AI agent capabilities directly into their vertical applications—roofing, moving, and other SMB-focused sectors—bringing instant scale to Vida.io's distribution. A key breakthrough discussed in the interview is Vida.io's ability to deliver low-latency, high-intelligence voice agents that reliably meet real-world customer experience expectations. “If latency is off even slightly, users get frustrated. We had to solve that,” Pratt notes. The result: AI agents that in many cases outperform humans, including one customer reporting 40% more meetings booked compared to human-based calling teams. Vida.io's partner program remains the company's primary growth engine. MSPs are now using AI agents to capture revenue from call flows they previously handed off to outsourced call centers—often redirecting hundreds of thousands of monthly minutes back into their own billing. The platform also supports direct SIP registration, enabling AI agents to function as standard PBX extensions across NetSapiens, Broadsoft, Metaswitch, and other systems widely deployed by MSPs. Pratt emphasizes that the AI revolution is fundamentally redefining UCaaS and business communications: “When the price of intelligence approaches zero, the entire enterprise software ecosystem transforms.” Even if LLM progress froze today, he argues, the impact on communications and business automation would still be historic. As the industry approaches 2026, Pratt sees a major new revenue frontier for MSPs—one that doesn't require deep AI expertise but does require timely action. Vida.io provides the tools to make AI agent deployment fast, repeatable, and profitable. To learn more or join the partner program, visit https://vida.io/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data

Yoni Tserruya, co‑founder and CEO of Lusha, positions itself as a sales‑intelligence platform that uses AI to eliminate the administrative burden on sellers, delivering real‑time, signal‑based lead recommendations much like a personalized music playlist. The platform continuously learns both user and customer behavior, generating accurate, on‑demand prospect suggestions so salespeople can focus solely on human interaction and trust‑building. Over time, the simplicity has shifted from a clean UI to a seamless back‑end experience where users simply ask for insights and receive them instantly. Beyond product, Yoni emphasizes a transparent, low‑politics culture built on open access to metrics, monthly “Ask Me Anything” sessions, and direct, authentic communication between leadership and staff. Website: www.lusha.com LinkedIn: yonitserruya Check out our CEO Hack Buzz Newsletter–our premium newsletter with hacks and nuggets to level up your organization. Sign up HERE.    I AM CEO Handbook Volume 3 is HERE and it's FREE. Get your copy here: http://cbnation.co/iamceo3. Get the 100+ things that you can learn from 1600 business podcasts we recorded. Hear Gresh's story, learn the 16 business pillars from the podcast, find out about CBNation Architects and why you might be one and so much more. Did we mention it was FREE? Download it today!

We dive into your configs, the genius moves, the glorious blunders, and everything in between.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

There's like a bajillion AI agents.