Podcasts about using chatgpt

From the Patriot Mobile Studios powered by eSpaces, the Try That In A Small Town Podcast crew sits down for a raw, unfiltered hang. Tully, Kurt, Thrash, Kaylo and Neil talk about everything from health scares and terrible sleep to the emotional toll of chasing hits in a “failure business” and wondering if this podcast is actually any good.They celebrate Jason Aldean's multi‑week No. 1 with “Try That In A Small Town,” shout out Morgan Wallen and Luke Combs, and then pull back the curtain on how little songwriters and session players really make in the streaming era. They debate AI‑written songs, the madness of modern politics, bathroom etiquette, and why a fast‑food combo in a tiny Tennessee town now costs 14 dollars.If you've ever chased a creative dream, wondered why some shows blow up and others stall in “podcast purgatory,” or just love small‑town stories with a heavy dose of honesty and sarcasm, this one's for you. And yes… they really want to know: are they good, or do they suck? Let them know in the comments.2:36 Kratom, roadside naps, and realizing the “health food” was killing energy4:12 Jason Aldean's multi‑week No.1 and how fast country radio moves now5:12 “This podcast needs a hit” – joking about number ones vs. struggling growth6:01 Neil's hospital scare, liquid diet, cutting alcohol, and finally sleeping great9:42 Aldean's charity golf with Luke Bryan – golf game, banter, and sobriety on the course11:14 Original Glory and Patriot Mobile ads – small towns, veterans, and America‑first talk13:32 “Are we good?” – the guys get raw about insecurity and podcast “purgatory”15:12 Explaining “failure businesses” and why so many creatives give up19:20 Shout‑outs to core listeners (Ed, Birdie Jane, Rhonda K) and plea to spread the word20:28 Aldean/Jake Lagrone episode “spicy” comments and Jason's loyalty line22:24 Do more people listen than watch? Wondering if video is underused23:11 John Rich's new D.C. role fighting for farmers and property owners24:28 DSA, abolish‑everything politics, and pride‑in‑America poll skepticism26:44 “AI this podcast?” – joking about deepfake episodes vs. real frustration with AI songs28:03 Using ChatGPT for health vs. AI‑written country songs in Nashville31:01 CNBC calls Tennessee the worst state to live – the guys roast the list31:34 Try That In A Small Town Coffee: Raised Up Right, Down The Road, Sucker Punch32:20 Bus story: small‑town Tennessee truck stop and the $14 Whopper combo34:25 Inflation vs. songwriters' frozen pay and awful streaming royalties38:00 460 dollars for 1M Spotify streams – breaking down how little writers see40:09 More touring opportunities, but dreams of being a session ace are fading42:33 Dipshitty It: Burger King cashier with zero greeting vs. Chick‑fil‑A standards44:22 Forced small talk at Publix and backstage – fans' curiosity vs. artists' quiet time49:38 Teacher fired for “He Is He / She Is She” books and free‑speech double standards52:05 Neil's bathroom Dipshitty: guys who don't wash their hands at Cracker Barrel54:49 “See, we're funny – what's going on?” Still wondering why the show isn't bigger55:00 WNBA All‑Star Game, Sophie Cunningham, and wanting her as a guest56:29 Coffee plug redux – where to buy each roast and why the guys love it57:14 Final push: like, subscribe, download, comment, and “do it for Tully”_________________________________________________________________________________________________SPONSORS: The Try That in a Small Town Podcast is powered by e|spaces!Redefining Coworking - Exceptional Office Space for Every BusinessBook a tour today at espaces.comFrom the Patriot Mobile studios:Don't get fooled by other cellular providers pretending to share your values or have the same coverage. They don't and they can't!Go to PATRIOTMOBILE.COM/SMALLTOWN or call 972-PATRIOTRight now, get a FREE MONTH when you use the offer code SMALLTOWN.Original Brands - Our original sponsor since the beginning!!Original brands is starting a new era and American domestic premium beer, American made, American owned, Original glory.Join the movement at www.drinkoriginalbrands.comPeacemaker Coffee CompanyFounded by retired police officer/chief Chris Morris, Peacemaker delivers clean, low-acidity coffee while supporting police, firefighters, EMS, military, veterans, teachers, dispatchers, and medical personnel through donations and programs.www.trythatinasmalltowncoffee.com________________________________________________________________________________________________Follow/Rate/Share at www.trythatinasmalltown.com -For advertising inquiries, email info@trythatinasmalltown.comProduced by Jim McCarthy and www.ItsYourShow.coSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

People are calling the new ChatGPT Voice their “AGI moment.”

Rover is sleeping uncomfortably so that the cat can be in bed. Volcano. Diet. Michigan family found deceased in their home under suspicious circumstances. Family annihilators. 49er's coach Kyle Shanahan clears up details about his car accident. Body cam footage of Tony Romo being arrested for a DUI. Kevin Hart 72 Hours. Using ChatGPT to complete college assignments. Professor tricks students. Rover was looking at Charlie's ChatGPT history. Charlie uses ChatGPT to rank his friends. Poop in the mosh pit leads to chaos during Devilskin set. Did Rover's laptop get fixed? What was the outcome of B2's scooter incident? Does yogurt on your windows help cool your house? Charlie is back on anti-anxiety meds. JLR would cranking it in the bathtub. See omnystudio.com/listener for privacy information.

Body cam footage of Tony Romo being arrested for a DUI. Kevin Hart 72 Hours. Using ChatGPT to complete college assignments. Professor tricks students. Rc. See omnystudio.com/listener for privacy information.

Sprague came away with one universal truth from Day 1 of B1G Ten Media Days...he also couldn't take his eyes off the arrest video of Tony Romo...plus, can you have any confidence in your head coach who needs Chat GPT to relate to his players?

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcThe market is full of opportunities... but finding the right one can feel like searching for a needle in a haystack. A sector might be moving higher, an industry could be gaining momentum, and a stock may suddenly flash a buy signal... but how do you turn all that data into an actual trading plan?This conversation dives deep into building a systematic process using OVTLYR's Sector Intelligence Map. Instead of randomly jumping between sectors and chasing whatever stock looks hot, the discussion breaks down how to identify emerging trends, track rising buy signals, measure relative volume, and narrow an entire market down to just a few potential opportunities. The goal isn't to guess which stock will explode next... it's to follow the data and let the strongest setups rise to the top.There's also a powerful lesson about why context matters. A strong stock inside a weak industry might not be the same opportunity as a strong stock inside a hot industry and an emerging sector. From auto manufacturers to steel stocks, the episode shows how weekly and monthly performance, sector participation, fear and greed, market breadth, and liquidity can all work together to build a stronger trading thesis.And the real takeaway? You don't have to risk real money while developing a new strategy. The discussion follows potential setups in Cleveland-Cliffs, Gerdau, and Nucor, then uses paper trading to test the process before putting actual capital on the line. Because a trading idea isn't a strategy until you've tracked it, tested it, and proven that it has an edge.✅ How to use the OVTLYR Sector Intelligence Map to find opportunities✅ Emerging sectors, industry momentum, and sector rotation explained✅ Relative volume, buy signals, fear and greed, and market breadth✅ Cleveland-Cliffs, Gerdau, Nucor, GM, Honda, and stock setups✅ Paper trading, watchlists, and testing a strategy before risking capitalIf you've ever looked at a screen full of market data and wondered how to turn it into an actual trading plan... this episode shows how to go from thousands of stocks to a focused watchlist without blindly chasing the market.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Stop experimenting with AI and start using it to produce measurable results in your Shopify business.Nick Trueman shares 19 practical ways to use Shopify AI to increase sales, save time, reduce costs and remove repetitive work.From Shopify Sidekick, ChatGPT and Claude to customer support, email marketing, product imagery and sales forecasting, this episode explains what you can implement right now - and where relying on AI could damage your brand.You'll learn:How Shopify brands can use AI to work faster and more profitablyWhere AI could reduce app, supplier and operating costsHow to use AI across customer service, marketing, imagery and forecastingWhich Shopify AI tools are worth usingWhen human judgement is still essentialIn this episode:(00:00) - Why AI is changing Shopify(00:56) - What Shopify Sidekick can do(07:39) - Using ChatGPT for ecommerce(15:08) - AI customer support(18:46) - AI email marketing(20:19) - Product images and AI search(21:25) - Predictive sales and growth(22:27) - When not to use AIFollow Winning With Shopify for practical Shopify growth advice every Tuesday and Friday.Listener offers:Seguno - Free email customer analysis and strategy session.Yoast - 15% off Shopify and WordPress with code WWS15.Inventory Planner - Free seven-day inventory bootcamp.TaxCloud - Free migration onboarding for listeners.About Winning With ShopifyWinning With Shopify is powered by Spec Digital, a PPC & SEO agency for ecommerce brands.

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

You win some, you lose some. So why does losing one always feel like it means so much more? This week we get into what happens after the deal falls through, the client picks another agent, or a friend quietly lists their house with someone else. We talk about the "one day rule" a friend taught us for grieving a lost deal, and why real estate karma means the good and the bad even out over time if you let it. We share the moment a nervous friend told us she wasn't hiring us, and why we've learned to respond with grace instead of guilt-tripping. We get into the client who broke the news she was moving out of state over text, the ones who ghost instead of confronting you, and why the people who face you directly deserve to never regret it. We also cover the awkward reality of splitting business between two agents in one household, the ChatGPT trick for cooling down an angry email before you hit send, and a listener's story about a "shopper" who keeps circling back without ever committing. Then we tell the story of a seven figure deal that turned into a $70,000 condo, then into no deal at all, and how walking away with honesty turned into a stream of referrals instead. And we close with the story of an eight year strained friendship that got repaired with one honest text message. Here's what we cover in this episode: Why we believe in real estate karma and how it evens out over time The "one day rule" for grieving a lost deal and moving on What to say when someone nervously tells you they're not hiring you Why business gets messier when it's built on relationships, not just transactions The client who confessed she was relocating out of state over text Being the icebreaker when a client lists with someone else and never tells you How to handle it when a buyer's spouse already has "his" agent Splitting a household's business between two different agents Using ChatGPT to turn an angry email into a professional one A listener's letter about a shopper who never quite commits Sticking to your boundaries even when it might cost you the deal The seven figure deal that shrank to a $70,000 condo, then to nothing How honesty about a bad purchase turned into new referrals Repairing an eight year strained friendship with one text Our rapid fire list of real estate karma quotes to remember Key Quotes & Takeaways: "Be the agent who says no worries, I'm happy for you, and actually means it." "Every time you choose grace over resentment, you're playing the long game." "Don't burn a bridge because you're hurt. You may need to cross it again later." "Real estate is hard enough without carrying a backpack full of grudges." "If you take every business decision personally, this business will eat you alive. Your value is not determined by whether someone hires you." "We're building a reputation, not collecting scorecards." Products, People & Previous Episodes Mentioned: Episode 346: Desperate Agent Behavior (hustlehumblypodcast.com/346) Hustle Humbly Community (hustlehumblypodcast.com/membership) Leave us a review at http://ratethispodcast.com/hustlehumbly   Get your FREE Database Template: http://hustlehumblypodcast.com/starthere   Email Templates 101: http://emailtemplates101.com   Agent Systems 101: http://agentsystems101.com   All Resources: http://hustlehumblypodcast.com   Submit your topic ideas and toasts to Team@HustleHumblyPodcast.com  

In MobileViews 620, Jon Westfall recorded a special solo "vidcast,"(since I was not available for recording a podcast this week) recording a walk-and-talk along an historic railroad trail in Cleveland, Mississippi. Filming entirely on his Insta360 Luna Ultra with a neck mount and the creator pack microphone, Jon used the scenic Sunday walk to share his recent deep dive into data sovereignty and the process of building his own local alternatives to popular subscription apps. The core of Jon's summer project was migrating away from the Day One journaling app to avoid its $25 yearly fee and proprietary cloud storage. Using ChatGPT and Codex, he generated scripts to convert his Day One JSON export into future-proof Markdown files managed within an Obsidian vault. He then successfully replicated Day One's best features, using Apple Shortcuts and Python to ingest text snippets, process daily photos, perform offline audio transcriptions, and even selectively transcode video files larger than 25MB down to mobile-friendly sizes. Expanding his DIY software suite, Jon also automated his personal relationship management and location tracking. He built a script that "interviews" him weekly to automatically update his self-hosted Monica CRM and Obsidian vault with details about his interactions with family and friends. Furthermore, to reclaim his travel history after Google restricted the web version of Google Maps Timeline, Jon coded a tool to parse his device's local JSON location data into detailed, daily Markdown travel logs. With his self-hosted documentation ecosystem fully functional, Jon is taking it on the road for late-summer travel and will return to the podcast in mid-August.

The Learning Leader Show with Ryan Hawk www.LearningLeader.com New Book - The Price of Becoming - www.LearningLeader.com/Becoming This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. My Guest: Joanna Stern is an Emmy Award-winning technology journalist, chief technology analyst for NBC News, and founder of the independent media company, "New Things." She is best known for her 12-year tenure at The Wall Street Journal, and for authoring the New York Times bestseller I Am Not a Robot. Key Learnings  Joanna dedicated her book to her parents "who taught me to think for myself, and the AIs, robots, and machines that made me wonder if I really was." In an age when AI can do the thinking for us, the most valuable thing we can teach our kids is to think for themselves. Walt Mossberg invented tech journalism for humans. His first column: "Computers are too hard to use, and it's not your fault." Without Walt, we don't have a category where technology built for humans is reviewed by humans. AI won't replace the radiologist. It'll make them better. Joanna sat with her doctor while AI scanned her mammogram. The AI flagged three suspicious spots. Two the doctor had already dismissed as benign. But one was something the doctor hadn't caught. She marked it for follow-up. Then the doctor pointed to other cases where SHE had caught things the AI missed. It's not a replacement. It's a partnership. The same technology that finds cancer is the same technology that can autonomously send missiles. That's the great tension of our time. Every powerful technology has good and bad uses. AI colleagues are coming. Joanna has two employees and one AI agent. She predicts that within a year, she'll have full AI employees. Great management books haven't been written yet about how to lead a mixed team of humans and agents. Someone is going to write them. Concert ticket prices tell you everything about human connection right now. Every artist is selling out football stadiums. People are craving in-person interaction more than ever. Bot Girl Summer. Joanna tried to have an emotional relationship with a chatbot boyfriend named Evan for 48 hours. She didn't fall in love. But she noticed how easy it was to talk to something that only wanted to hear about her problems and told her she was great at everything. That's the danger. The AI therapist shut itself down when it realized there was a real therapist in the room. Joanna brought her AI therapist "Ash" into her actual therapy session. Halfway through, Ash said, "I'm sorry, I can't continue this conversation. It sounds like there are multiple people in the room." AI won't replace therapists. It'll help with the shortage and the stigma. Some people don't want to walk into a therapist's office. But they'll open their phones. That's a bridge to real help for people who wouldn't otherwise get it. Kara Swisher's career advice to Joanna: "Leave your fucking job." That was the shortest, cleanest advice Joanna got when deciding whether to leave the Wall Street Journal after 12 years. Joanna used AI as a co-founder for the biggest decision of her career. She uploaded 12 years of notes into ChatGPT and asked it to help her decide whether to leave the Journal. It didn't decide for her. But it structured the risk analysis, laid out the escape hatches, and helped her see the shape of the decision. The muscles atrophy if you don't use them. Writing is meant to be hard. Thinking is meant to be hard. If you outsource the hard work, you stop getting stronger at the hard work. Research is where you learn the most. If you have AI pull the memo for you and you get up and read it, you don't know what you're really talking about. You have to do the reps to know the material. AEI: Already Enough Intelligence. Sam Altman is obsessed with building superintelligence. Joanna proposes we already have enough intelligence to work with. Maybe the goal isn't to build smarter models. Maybe it's to figure out what to do with what we already have. The AI on-ramp for leaders: Take one document you make all the time (a memo, a PowerPoint, an email template). Upload it. Ask AI to make a template out of it. Next time you need it, you're twice as fast.  Push yourself to do the harder work. Joanna's analogy: marathon runners are insane. They just want to run. Nobody wants to do the harder work. But that's where the growth is. Joanna's champagne moment a year from now: milestones for her new company. She's already hit 100,000 YouTube subscribers three months after her first video. But she also just wants a nap. Reflection Questions Where in your work are you outsourcing the thinking to AI? Are the muscles you actually need atrophying because you're skipping the reps? If you accepted that you already have enough intelligence to work with, what would you actually build with what's in front of you right now? More Learning #679: Kat Cole - The Four Mindsets Every Leader Needs #605: Seth Godin - The Power of Remarkable Ideas #697: Dan Smith & Ryan Hawk - The Price of Becoming Podcast Chapters 00:00 The Price of Becoming - Pre-Order Now!  01:44 Meet Joanna Stern  02:31 Teach Your Kids to Think in the Age of AI  03:25 The Parents and Mentors Who Shaped Her Career  04:16 Lessons From Walt Mossberg  05:55 Why Joanna Spent a Year Living With AI  14:47 How AI Can Make You a Better Leader  17:30 Why People Crave Human Connection More Than Ever  21:00 Bot Girl Summer: Dating a Chatbot Named Evan  25:13 The AI Therapist Trial 29:51 Using ChatGPT for a Career Change 33:29 Don't Let Your Thinking Muscles Atrophy  40:20 Sam Altman on Superintelligence, and Joanna's Case for "AEI"  42:51 Joanna's Advice for College Students  45:29 How Joanna Actually Uses AI to Write  47:17 Practical AI for the Fortune 500 VP  50:17 The Champagne Question 52:43 EOPC

Scheim starts off the leads with pointing out how Nick Sirianni has been using ChatGPT to make speeches for his team. Are other coaches going to star using ChatGPT to talk to their team?

In a conversation at Macstock 2026, Adam Christianson reflects on retiring the MacCast, joining Mac Geek Gab, and starting the Debut Film Podcast with his daughter. He also explains how his views on AI have evolved, how ChatGPT and Claude support his programming work, why human oversight remains essential, and what AI may mean for entry-level developers and the future of technical careers. This MacVoices is supported by our new MacVoices series, Foreshadowing Tech, that examines the effect of media depictions of tech and tech culture on real-world tech, and how real-world has affected technology depictions in the media. Check it out at http://macvoices.com/foreshadowingtech. Show Notes: Chapters: 00:00 Catching up with Adam Christianson at Macstock00:44 Life after retiring the MacCast01:02 Joining Mac Geek Gab01:28 Leaving solo podcast production behind02:41 Starting the Debut Film Podcast03:15 Sharing a love of movies with his daughter03:38 How AI changed the conversation04:09 Moving from AI skepticism to regular use04:35 Using ChatGPT, Claude, and Claude Code05:02 Treating AI as an assistant05:47 Trusting and reviewing AI-generated code06:38 AI's impact on entry-level programmers07:33 How new developers may need to adapt08:06 Comparing AI with earlier technology shifts09:23 Why embracing AI may be the best path10:09 Using AI to expand creativity10:37 Where to follow Adam's current work11:26 Closing thoughts Guests: Adam Christianson was the host of the long-running MacCast podcast. He now is part of the Mac Geek Gab podcast team, and also has a podcast with his daughter, the Debut Film Podcast. Professionally, his a Senior Web Developer. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

In a conversation at Macstock 2026, Adam Christianson reflects on retiring the MacCast, joining Mac Geek Gab, and starting the Debut Film Podcast with his daughter. He also explains how his views on AI have evolved, how ChatGPT and Claude support his programming work, why human oversight remains essential, and what AI may mean for entry-level developers and the future of technical careers. This MacVoices is supported by our new MacVoices series, Foreshadowing Tech, that examines the effect of media depictions of tech and tech culture on real-world tech, and how real-world has affected technology depictions in the media. Check it out at http://macvoices.com/foreshadowingtech. Show Notes: Chapters: 00:00 Catching up with Adam Christianson at Macstock 00:44 Life after retiring the MacCast 01:02 Joining Mac Geek Gab 01:28 Leaving solo podcast production behind 02:41 Starting the Debut Film Podcast 03:15 Sharing a love of movies with his daughter 03:38 How AI changed the conversation 04:09 Moving from AI skepticism to regular use 04:35 Using ChatGPT, Claude, and Claude Code 05:02 Treating AI as an assistant 05:47 Trusting and reviewing AI-generated code 06:38 AI's impact on entry-level programmers 07:33 How new developers may need to adapt 08:06 Comparing AI with earlier technology shifts 09:23 Why embracing AI may be the best path 10:09 Using AI to expand creativity 10:37 Where to follow Adam's current work 11:26 Closing thoughts Guests: Adam Christianson was the host of the long-running MacCast podcast. He now is part of the Mac Geek Gab podcast team, and also has a podcast with his daughter, the Debut Film Podcast. Professionally, his a Senior Web Developer. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Is homeschooling worth it? It’s the question almost every parent on the fence keeps asking, and in this episode of the Future Learners podcast, Ellen Brown puts it to someone with eight years of answers. David Smith, a long-time Euka parent, talks through what it was really like to homeschool three children. David’s family didn’t come to homeschooling looking for something better on paper. They came looking for a way out of a school where his eldest son, who is on the autism spectrum and has ADHD, was being bullied and wasn’t thriving. David covers the whole journey: deciding to leave, telling the school, the first six to twelve months, keeping learning fluid rather than recreating school at home, discovering hidden strengths in subjects like maths, using AI as a patient tutor, and watching an eldest son who once “wasn’t working at all” move confidently into the workforce. He also shares the small, practical things that worked for his family. A whiteboard maths race with his middle son. Letting the kids build their own timetable. Staying involved even after a long day at work. Want to have a positive impact on thousands of families like you? Leave us an audio question or share your homeschooling journey — anonymously if you like. Real questions from real families help us bring more value to every episode.  Send us a message We're listening Send us your voice message Up to two minutes. Speak in your own words Your name Email ● Tap the red dot to start Re-record Download I'm happy for Euka to keep this recording and to share it (or part of it) on the Future Learners Podcast. See our privacy policy. Yes, let me know when new episodes drop. Fresh conversations every week — unsubscribe any time. Send to the Future Learners team Thanks — we've got it. Brett, Ellen and the team will give it a listen. Keep an ear out — we'll let you know if your message features in an upcoming episode. Key Points David’s homeschooling journey, in brief: Why they started: persistent bullying and an eldest son on the autism spectrum with ADHD who wasn’t fitting in, with a year-three teacher warning he wouldn’t thrive at high school. Telling the school: the family quietly ran homeschooling in parallel at first, and found the school more supportive than they’d feared. The first six to twelve months: hidden strengths surfaced fast, including an undiscovered passion for maths, once the pressure of the classroom was gone. Keeping it fluid: letting the kids choose subjects and build their own timetable so homeschooling never felt like “school again.” AI and the internet as tools: using ChatGPT to break maths down step by step, and giving kids the freedom to research anything. From homeschool to the workforce: an eldest son who “nailed it” from day one in a customer-facing job, and a middle son mapping a pathway towards becoming a GP. Advice for parents on the fence: you know your kids better than anyone, so don’t leave the decision too long. Practical ideas from David’s family: Use a whiteboard “who can solve it first” race to make maths feel like a game rather than a chore. Let a child keep going in a subject they love rather than holding them to one week at a time. Use “misdirection” when a subject stalls. Switch to PE, the park, or arts and crafts, then come back to it. Learn alongside your child when a subject scared you at school, instead of pretending to know it all. Where the homeschooling journey started Like a lot of families, David’s homeschooling journey didn’t begin with a plan. It began with a problem the school couldn’t solve. His eldest son, a “beautiful, beautiful kid” who is on the autism spectrum and has ADHD, was being bullied, wasn’t fitting in, and David was being called into the office a lot. (If that’s your family’s starting point too, our guide to homeschooling on the spectrum and special needs homeschooling walks through what it can look like.) David describes a trap many parents fall into: assuming that because someone trained to be a teacher, they must be able to teach your child better than you can. When he searched online, most options overwhelmed him with “oodles and oodles of material” that wouldn’t work around his job and his wife’s day at home. Then the family found Complete Education Australia, which evolved into Euka, with the work laid out in manageable weekly chunks. Once his son started working through it, David could see a change straight away. He was focussed and giving far more of himself than before. “The outcome was phenomenal… we could see that he was focussed, that he was actually giving a lot more of himself to his work.”— David Smith, Euka parent They applied for homeschool, and, as David puts it, “the rest, literally eight years later, here we are now.” Telling the school One of the most common worries for parents leaving mainstream school is how the school will react. David’s family were concerned enough that they ran homeschooling in parallel at first, without telling the school, worried that fighting the system would only invite roadblocks. In the end, the school was more supportive than they expected. David believes that, deep down, the teachers had his son’s best interests at heart and could see this was something they couldn’t control. The moment that made the decision for him was a teacher warning that his son, leaving year three, wouldn’t thrive at high school. It was the kind of comment that makes alarm bells ring and sends a parent into overdrive, asking what they can do to make sure their kids get a good education, and a safe one. Ellen is careful to add that a supportive response isn’t a given for every family. But she reframes the underlying issue warmly: schools often do care, yet the system simply isn’t built for the individual child, with one teacher and 28 children in a classroom. Where a family can share their concerns and get a supportive response, she says, it’s a wonderful thing. Making homeschooling fluid, not another school The turning point in David’s story is a mindset shift. Homeschooling only worked once the family stopped trying to recreate school at home. The kids didn’t want to do maths every Monday, David explains, because if they knew maths was coming every Monday, it suddenly became almost like school again. So they let the children choose their subjects and build their own timetable. Ellen connects this to a deliberate design choice in the Euka program. The lessons are grouped into weeks rather than pinned to named days. There are five maths lessons and five English lessons a week, with no days attached, precisely so families can flow with what suits their child. David is honest that the first couple of weeks are an adjustment for everyone, and it’s easy to hit the panic button. His advice is to persevere, and to use what his wife calls “misdirection.” If maths isn’t working, go outside, do PE, or get the arts and crafts out, and come back to it later. Nothing, he says, is set in stone. When maths stops being scary Maths is the subject that scares parents most, and it’s where David’s story offers the most hope. At school, his eldest was “average, borderline on everything,” and sometimes below. At home, within weeks, a completely different picture emerged. “We found out he had a passion for maths that had gone undiscovered.”— David Smith Two things made the difference. The first was time and patience, without the classroom rushing on to the next thing. The second was technology. Where a school lesson moves on whether or not a child understood it, AI will wait. David describes sitting down with ChatGPT and asking it to “hold you by the hand,” breaking things down very easily with no rush, especially where maths is concerned. Ellen builds on this for parents who fear maths themselves. Missing one “little nugget” in maths snowballs, she explains, because maths needs its building blocks, which is why so many adults wrongly decide they’re “hopeless” at it. Her encouragement is to model curiosity instead of certainty. Even saying to your child, “I actually don’t know that either, let’s have a look together,” is a fantastic lesson in itself. David’s own family lived this out. His wife, who’d also been left behind in maths at school, learned alongside the kids. And for his middle son, the tool that worked best was low-tech: two whiteboards and a race to see who could solve the question first, because kids love the bragging rights. (For more hands-on ideas along these lines, see our 8 tips for homeschooling with ADHD.) Fostering a love of learning Beyond any single subject, what David values most is that homeschooling fostered a love of learning “everything and anything.” His middle son now gets on his laptop after school finishes and researches whatever he’s curious about, something David says would have been far harder to nurture in mainstream school. That freedom produced one of the episode’s most charming stories. David’s middle son came up with his own theory of time travel off his own back, ran it past AI, and the AI gave the playful theory a name of its own: the Van Gogh paradox. It’s a fun anecdote rather than a scientific claim, but David’s point is serious. Homeschooling gives kids the freedom to look at a problem and go and research it themselves. Ellen loves the contrast with a classroom where the teacher is “the facilitator of all knowledge.” Seeing David’s eldest shift from average school reports to blossoming at home, without other kids asking “what are you learning that for?”, is, she says, remarkable. David is equally clear that this doesn’t happen on autopilot. The program does a lot for you, but a parent still needs to play a part where they can. It isn’t as simple as handing kids the work and letting them do it all themselves. From homeschool to the workforce The proof of the journey, for David, is watching his eldest son move into the workforce. Given how his son started, “literally not working at all,” the family wondered how he’d cope with full days in a customer-facing role. He exceeded everyone’s expectations. On day one, after his interview, the manager told David, “Yeah, he nailed it. I don’t know who you’re worried about.” His son now has no issues with customer service or talking to anyone, and the job is giving him life experience and the means to fund whatever he chooses next, whether that’s university or study from home. His middle son, meanwhile, is mapping a pathway towards becoming a GP, and even asked AI to help plot the subjects and states involved. Ellen reflects on why the transition went so smoothly. You can never change “sliding doors,” she says, but making the decision early gave David’s son all these years to build confidence, self-worth, and communication skills away from the situation he’d been in at school. That’s probably part of why he’s been able to adapt so nicely into the workplace. Advice for parents on the fence Asked what he’d say to a parent still deciding, David keeps it simple. No one knows a child better than their parent, so trust that and take the step. “You know your kids better than the educator. You’ve birthed them, you’ve raised them, you see them on a regular basis. You’ve got to go and just take that plunge.”— David Smith He frames the decision not as a leap out of school forever, but as a chance to see how a child responds to learning where their voice is heard and they’re not stuck at the back of the classroom. His strongest advice for families already living what his family lived through: don’t leave it too long. David also points parents to community. His details are on the Euka Facebook group, where he’s happy to answer questions, and his kids have documented years of their work on the family’s Happy Homeschool page on Facebook, which he offers as a resource for parents unsure how far the program can take a child. His closing message to parents who can is to be part of it, even if it’s just five or ten minutes after a long day’s work. Give it that time, have a look through, and be amazed. Answered Questions Real questions Australian parents ask about homeschooling children with additional needs and whether it’s worth the leap. Can you homeschool a child with autism and ADHD? + Yes. David’s eldest son is on the autism spectrum and has ADHD, and homeschooling gave the family a way to move him out of an environment where he was being bullied and wasn’t thriving. Within weeks at home, hidden strengths surfaced, including a passion for maths that had gone undiscovered. Years later, that same son has moved confidently into the workforce. What do you do if your child is being bullied at school? + Ellen notes that schools often do care and have rules requiring action, but the system isn’t built for the individual child, so a supportive response isn’t a given. In David’s case, the family decided homeschooling was the safest course after a teacher warned his son wouldn’t thrive at high school. Ellen’s wider point is that bullying should be taken as seriously as it would be in any adult workplace. How do you stop homeschooling from feeling like school at home? + David’s answer is to keep it fluid. His family found that scheduling maths every Monday made homeschooling feel like school again, so they let the kids choose subjects and help build their own timetable. When a subject stalls, his wife uses “misdirection,” switching to PE, the park, or arts and crafts, then returning to it later. How can AI help with homeschooling maths? + David uses AI as a patient tutor. Where a classroom moves on whether or not a child understood the lesson, he says you can sit down with ChatGPT and ask it to “hold you by the hand” and break a concept down step by step, with no rush. Ellen adds that parents who fear maths can ask AI to explain a topic “as though I was 10 years old,” and keep it simple until it clicks. Is homeschooling worth it, from a real parent’s experience? + After eight years and three children, David’s biggest regret is not starting sooner. He wishes he’d known “it would have been this simple,” and his advice to parents on the fence is that no one knows a child better than their parent, so don’t leave the decision too long. Does homeschooling prepare children for the workforce? + In David’s family, yes. His eldest son went from “literally not working at all” to a customer-facing job where, in the manager’s words, he “nailed it” from day one. Ellen suggests the years spent building confidence and communication skills away from a difficult school environment are part of why he adapted so well. Why This Episode Matters Most conversations about homeschooling stay theoretical. This one doesn’t. David Smith offers eight years of lived experience, including the hard parts: the doubts, the adjustment, and the fear that a child with autism and ADHD might not cope. Then he shows what became possible on the other side. For any parent whose child is struggling in a system that can’t be built around the individual, David’s story is a reminder that a different path exists, that hidden strengths often surface once the pressure lifts, and that the hardest part is often simply deciding not to wait. Your Family, Your Journey David’s biggest regret was not starting sooner. He wishes he’d known “it would have been this simple.” If you’re on the fence, the hardest part is usually just knowing where to begin, and that’s exactly what our free Complete Guide to Confident Homeschooling is built to solve. It’s a free online course that walks you through everything a new homeschooling parent needs to feel confident from day one: how to legally register, how to choose and structure a curriculum, how to build a daily rhythm that fits your family, how to support a child who learns differently, and how to know your child is progressing. No guesswork, no wading through “oodles and oodles of material,” just clear, step-by-step guidance from the team that has helped thousands of Australian families make the leap. You don’t need to have it all figured out before you start. You just need a first step. 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David's eldest son is on the autism spectrum and has ADHD, and homeschooling with Euka let him learn at his own pace without the pressure of a busy classroom. Within weeks, hidden strengths surfaced — including a previously undiscovered passion for maths. Keeping learning fluid, using patient tools like AI, and giving the child a say in their subjects and timetable helped him thrive over eight years and move confidently into the workforce." } }, { "@type": "Question", "name": "What do you do if your child is being bullied at school?", "acceptedAnswer": { "@type": "Answer", "text": "Persistent bullying was the reason David's family began homeschooling. His son wasn't fitting in and wasn't thriving, and a year-three teacher warned he wouldn't cope at high school. The family quietly ran homeschooling in parallel at first and found the school more supportive than expected. 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You've been using AI for months. You can see what it does. And when you look around the room, you can count on one hand the people on your team who are actually using it. The rest aren't pushing back. They just haven't started. "I had to hear from some other people how they're using it in their daily lives, and I didn't wanna just trust people who are tech-savvy." That's Mark Maynard, a coach, author, and speaker who helps leaders in hotels, restaurants, museums, and a construction company connect purpose to daily operations. Six months ago, he was the person on your team who still hasn't tried it. Using ChatGPT for recipes and road trip stops, nothing more. Mark joins host Erik Martinez on Episode 116 of the Digital Velocity Podcast to talk through what actually changed, and what it means for leaders trying to bring their teams along. Mark shares the specific moment a client problem broke through months of skepticism, explains why trusted people telling real stories mattered more than any demo, and describes how he used AI to help a construction company turn 1,000 pages of operational playbooks into something their employees would actually remember. "Efficiency was not the desired outcome, depth was." If the people on your team haven't bought in yet, this conversation reframes why, and what to do about it.

She comes to Esther with a question that feels distinctly of this moment: when does a tool become a transgression? After leaving a long, stable marriage, she finds herself in a new relationship marked by intense highs and low lows. She turns to AI, using it as a real-time coach to navigate arguments and break painful communication loops. She shows up differently, and the relationship begins to shift. But as the dust settles, a new question emerges. What does it mean to rely on something your partner doesn't know about, and wouldn't agree with? Is her use of ChatGPT a tool or a transgression? Esther Callings are a one time, 45-60 minute interventional phone call with Esther. They are edited for time, clarity, and anonymity. If you have a question you would like to talk through with Esther, send a voice memo to producer@estherperel.com. Producer's Note: When our anonymous guests do a session with Esther for the podcast, it is an act of generosity for everyone who listens. These sessions are meant not only to support the people in the room with Esther, but all of us who learn from their stories. Our stories have many chapters, and what you hear is just one moment in someone's journey. So even though the sessions are anonymous, please remember that real people are behind them and they may be reading your comments. Also, please join me on Entre Nous, my new home on Substack for anyone who wants to live, love, and work with more connection and imagination. I invite you to sign up and become a free or paid member at estherperel.substack.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Charlie recounts the change. Duji is in 20 different group chats. Charlie was in his backyard when he heard someone yell. Using ChatGPT to count money. People believe Senator Chuck Schumer passed gas on the Senate floor. Police stop Governor Joe Lambardo and let him go without receiving a warning or a ticket.  See omnystudio.com/listener for privacy information.

Duji listens to Rover and loses money. JLR does exactly what Rover asked him not to do. A student's scholarship was revoked after he did not return to school. Dash cam footage has been released of the car crash that ESPN analyst Matt Miller was involved in that led to him having an arm amputated. Daylight saving time. JLR counts the money JD sent in to pay his debt. Krystle found the phone she lost. Charlie recounts the change. Duji is in 20 different group chats. Charlie was in his backyard when he heard someone yell. Using ChatGPT to count money. People believe Senator Chuck Schumer passed gas on the Senate floor. Police stop Governor Joe Lambardo and let him go without receiving a warning or a ticket.  Poop hands. People are offended by Patti LaBelle's National Anthem. Can Krystle still retrieve the information from her old phone? Canadian wildfires causing haze in the northern part of the United States.See omnystudio.com/listener for privacy information.

Listen Live to Channel 955 Detroit.104.5 SNX Grand Rapids 92.5 Kiss Fm Toledo See omnystudio.com/listener for privacy information.

Nikesh Arora, CEO of Palo Alto Networks, says 90% of his employees aren't AI-ready. The AI skills gap is quietly becoming the biggest career risk most professionals aren't watching, and instead of mass layoffs, he's rebuilding his team through hackathons and natural attrition.This week we cover what he said on the 20VC podcast, why he's calling out leaders like Coinbase's CEO and Block's Jack Dorsey for how they're handling AI-driven cuts, and why this moment feels a lot like the one our parents lived through when computers first showed up at work and typing classes felt optional. If you've been wondering whether AI will replace your job, this is really a conversation about how to stay ahead of it.Here's what we're sippin on:The exact numbers behind his 12-month and 3-year plan, and what he says happens if he's rightHow to tell if your role is one of the "replaceable" ones he's really talking aboutOne question to ask your parents that explains exactly where this AI moment is headedFive years from now, this either ages like a warning you caught early or one you ignored.Thank you for listening, and as always...enjoy your first sip!Click here to watch the full episode on YouTubeTimestamps:00:00 The 90% AI Readiness Problem01:00 Settling In: The Move to Guyana02:00 Who Is Nikesh Arora and Palo Alto Networks03:00 Natural Attrition and Hiring Through Hackathons04:00 The Jobs Most at Risk Right Now05:00 Calling Out Coinbase and Block's Layoff Approach06:00 The Parents-and-Computers Parallel09:00 A Free Tool to Validate Your Next Idea11:00 Using ChatGPT and Claude to Move Faster12:00 Are You Seeing This Resistance Too13:00 Final Thoughts and Sign-OffWhat did you think about this episode?--------------------------------Get the First Sip Field Notes: A weekly newsletter for curious people building better businesses, careers, and lives. You'll also get a free tool to help you decide if that idea you're sitting on is actually worth building.https://firstsipfieldnotes.beehiiv.com/subscribeCONNECT WITH DEKIMBE: YouTubeInstagram  Facebook LinkedInFOLLOW THE PODCAST:InstagramApple PodcastsSpotifyFor podcast sponsorship & advertising opportunities please contact: firstsippod@gmail.com

Hello everyone. Welcome to the latest episode of The Matchbox Podcast powered by Ignition Coach Co. I'm your host, Adam Saban, and on this week's episode we're talking about our own perspectives on the integration of AI in the world of training and coaching.   As always, if you like what you hear, share this with your friends and leave us a five star review and if you have any questions for the show drop us an email at matchboxpod@gmail.com or head over to ignitioncoachco.com and fill out The Matchbox Podcast listener question form.    Alight let's get into it!   For more social media content, follow along @ignitioncoachco @adamsaban6 @dizzle_dillman @dylanjawnson @kait.maddox     https://patreon.com/MatchboxPodcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink   https://www.youtube.com/c/DylanJohnsonCycling https://www.ignitioncoachco.com  https://www.youtube.com/@DrewDillmanChannel   Intro/ Outro music by AlexGrohl - song "King Around Here" - https://pixabay.com/music/id-15045/    The following was generated using Riverside.fm AI technologies   Summary In this episode, the hosts dig into a listener question about whether self-coached athletes should use AI to help build training plans. The conversation explores where AI can be genuinely useful, where it falls short, and why foundational knowledge still matters.The discussion covers practical use cases for AI, including quick research, personalized training feedback, and blood work analysis. The hosts also talk about the limitations of AI-generated plans, especially when it comes to nuance, accountability, and long-term coaching decisions.A key theme of the episode is balance: AI can be a helpful tool, but it works best when paired with training knowledge, self-awareness, and human judgment. The hosts close by weighing whether AI is a 10/10 solution for self-coached athletes, ultimately landing on a more cautious, nuanced recommendation.   Timestamps 0:00 — Welcome back and listener question on AI in coaching 0:27 — The hosts react to a funny AI-coaching reel 1:42 — Concerns about relying on AI to generate thoughts and ideas 2:45 — AI for quick research and decision-making 4:34 — Why AI can feel “too good” for writing and outlining 5:47 — Why self-coached athletes need a foundation of training knowledge 6:25 — Can ChatGPT build a training plan? 7:23 — The importance of knowing how to prompt AI well 9:22 — Where AI struggles with edge-case or nuanced decisions 12:01 — Adam explains how he's been using an AI-generated training plan 13:01 — What an AI plan does well: simple, basic, and consistent 13:59 — Repetition and limitations in progressive overload 15:53 — Why a base level of knowledge still matters 16:11 — Joe Friel's Training Bible as a foundation for self-coaching 17:26 — Adam explains how he updates his AI plan daily 18:24 — Why coaching adds nuance that generic plans miss 19:15 — AI vs. human coaching and personalization 21:45 — Training AI to be more direct and less encouraging 23:31 — ChatGPT personalities and more advanced models 35:21 — Using ChatGPT to analyze blood work 37:13 — ChatGPT vs. doctors for athlete optimization 39:31 — How much better AI gets when it knows more about you 41:30 — Is AI training worth it for a self-coached athlete? 43:13 — Why accountability still matters for some athletes 44:25 — The human side of coaching before race day 45:43 — Final scores: how much the hosts recommend AI for training 48:34 — Wrap-up and closing thoughts Key Takeaways AI is useful for speed, research, and idea generation. Self-coached athletes need enough training knowledge to judge AI output. AI can build a decent plan, but it may miss individual nuance. Human coaching still has advantages in accountability and emotional support.

Here's a little secret: ChatGPT tasks are the Gateway Agent.

Jared shares the wildest piece of weight loss advice he's ever gotten from a fan at a country club, leading to a discussion about criticism, internet comments, and why the people who care enough to complain might actually be your biggest fans. Then, J&J debate whether it's an ick or just being picky when a hinge date pulls out a Bible app and reads a favorite verse at a dive bar over chicken salad sandwiches. Too passionate? Later, a listener discovers her boyfriend secretly asked ChatGPT if he should break up with her and finds a list of complaints about her! Is using AI as a relationship therapist a red flag, or is reading someone's private doubts the real problem? J&J have some thoughts! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley shares a powerful productivity strategy: conducting a two-week time study. Josh explains how tracking time reveals inefficiencies and misplaced priorities that limit business growth. He introduces a four-bucket framework—Delete, Delegate, Design, and Double Down—to help entrepreneurs categorize their activities and focus on high-leverage work. Josh emphasizes that a CEO's role must continuously evolve through revenue milestones, and recommends tools like the Timing app and ChatGPT to analyze time data and redesign job responsibilities for maximum impact.Bullet Points:Importance of conducting a two-week time study for entrepreneurs and CEOs.Tracking and analyzing time to identify inefficiencies and misplaced priorities.The role of the founder or CEO as a potential growth ceiling for the business.Evolution of the CEO's role as the business scales through revenue milestones.Categorization of tasks into four buckets: Delete, Delegate, Design, and Double Down.Regular self-assessment and role redesign for sustainable scaling.Value of time analysis for team members at all levels, not just CEOs.Use of tools like the Timing app for tracking time spent on activities.Analyzing collected data to identify opportunities for improvement and delegation.Emphasis on intentional time management and leadership evolution for business growth.Timestamps:00:00:00 Introduction to the Two-Week Time StudyYour calendar reveals your business's future growth. A time study shows where your time is actually being consumed.00:01:18 The Importance of a Time StudyA founder's time becomes the ceiling for business growth. This study helps align your actions with your business goals.00:02:40 Evolving as a CEO at Different Revenue MilestonesThe CEO's role must change as the business scales from $1 million to $5 million, $10 million, and beyond.00:04:22 Common Misconceptions About Time UsageFounders often think they're focused on growth but are stuck in administrative tasks, revealing a disconnect in priorities.00:06:08 Why the Study Must Be Two Weeks LongTwo weeks is the minimum time to get an accurate picture of your normal habits, beyond a single focused week.00:07:53 The Brutal Question for CEOsAsk if the CEO you want to become should be doing your current tasks, emphasizing the need for personal evolution.00:09:23 The Four Buckets for Categorizing Your TimeAfter the study, categorize all tasks into four buckets: delete, delegate, redesign, or double down on high-leverage activities.00:11:10 Common Findings from a Time StudyCEOs often find they spend too much time checking instead of leading and get derailed by personal tasks mid-day.00:14:44 The Real Outcome: Redesigning Your JobThe goal is to redesign your job description every 90-180 days, focusing on growth levers to earn promotions.00:16:17 How to Conduct the Time StudyUse the Timing app to track everything from sunup to sundown, including personal time, to get a complete picture.00:18:58 Categorizing Your TasksCreate key themes or categories for your activities, such as "CEO strategic work," "hiring," and "personal tasks."00:21:04 Analyzing the ResultsThe app shows where your hours went, revealing high-time categories like hiring, which can inform who to hire next.00:25:05 Using ChatGPT for Deeper AnalysisExport your time data and use a specific ChatGPT prompt to analyze it using the four-bucket framework for insights.00:26:36 Example ChatGPT OutputChatGPT can identify the best and worst uses of your time, highlighting where to apply your judgment for maximum leverage.00:29:49 Conclusion and Final TakeawaysYour calendar is your strategy. Run the study regularly, apply the four buckets, and constantly evolve your role as a leader.Links and Mentions:Tools and Apps  "Timing App": "00:16:50"Key Concepts and Frameworks  "Two Week Time Study": "00:02:02"Recommendations  "ChatGPT": "00:25:05"Additional Notes  "QR Code for Resources": "00:29:49"Transcript:Josh Hadley 00:00:00  Show me two weeks of your calendar, and I'm going to be able to confidently tell you whether you're going to be growing or staying stuck in your business over the next 12 months. Welcome to the Ecomm Breakthrough Podcast. I'm Josh Hadley. I've scaled my own e-commerce brand from 0 to 8 figures, and I'm actively building towards nine figures in sales. This podcast is where I document that journey and share the systems, the strategies, and the lessons learned in real time so that you can learn what actually matters and scale your own business. Most founders think that they know exactly where their time is going. However, when you conduct a two week time study, 90% of entrepreneurs are blown away with where their time is actually being consumed in the business. And oftentimes it's not in the places you want your time being consumed in the business. Most of the time, you're stuck in the thick of thin things. That's not providing a high ROI in the business. My name is Josh Hadley. First and foremost, I'm a man of faith.Josh Hadley 00:00:56  I'm a husband to a beautiful wife and the father of four children. I've been selling in the e-commerce space for over a decade, selling multi-million on sales channels such as Amazon, TikTok, Shop and Shopify, and I am also the host of the number one business strategy podcast for ecommerce entrepreneurs. That's E-com breakthrough. Today, I'm going to be sharing with you the details about this two week time study, which is one of the best tools to magnify your output and be able to ten x the efficiency and the growth inside of your business. So why is a two week time study so important? And why do I do this on a regular basis? By the way, I do this myself at a minimum every six months, and when things are really moving along quickly, I'm doing it every 90 days. If the business is scaling fast, the reason why you want to conduct a two week time study is because the founder's time eventually becomes the ceiling for your growth as a business. This is going to provide you with a framework for seeing whether your behavior in the business is actually matching the business that you think you are trying to build? Way too often I hear people are saying, oh yeah, I'm all focused on growth.Josh Hadley 00:02:02  But then you show me your two week time study, and then I find that most of your time is spent in administrative work, doing manual routine things that aren't actually driving results in the business, but it's just kind of keeping things afloat. That's not what you want to be focused on. And this is something that applies to CEOs, and this applies to entry level workers that are doing routine administrative work as well, because I believe that everybody in any role needs to take an honest look and self-assess. Am I spending my time on the right levers in the business that are truly going to provide an ROI, a return on your investment, or your time? Let's dive into why this is so vital for a CEO that's building a business. When you're a CEO and you're a founder and you're crossing that $1 million mark in revenue, it's honestly the hustle that has gotten you to where you are today, and that ultimately will become a ceiling. If you're not able to delegate and identify a system as to how you generated that first million dollars in revenue.Josh Hadley 00:03:02  You're never going to scale to that next level, whic...

Have you ever wanted to see how AI could help with your health journey, but you had concerns, or you were too overwhelmed to know where to start? Holistic practitioner and recovery coach Lorrie Rivers joins Dr. Motley to walk through practical tips and best practices for using ChatGPT in your quest to be the CEO of your own health. Lorrie teaches how to empower yourself by approaching modern technology with the ancient arts of curiosity and dialogue to cut through overwhelm and find breakthroughs in your chronic illness journey. In this episode you'll learn: How to take advantage of ChatGPT's deep training in functional health as a support for your health journey (and what NOT to do). How to anchor and re-anchor the conversation to get the peer-to-peer information you're actually looking for, whether through a holistic, functional or TCM lens. Why most people ask AI the wrong questions — and the simple shift that gets you dramatically better answers. The difference between using AI as an "answer machine" versus a true thinking partner for your health. Whether you're a patient frustrated by long wait times and surface-level answers, or a practitioner looking to use AI as a research tool, this episode gives you a practical framework for getting real value out of artificial intelligence, without losing your own critical thinking in the process. Check out Lorrie Rivers' first episode of the Ancient Health Podcast here.  ------  Want more of The Ancient Health Podcast? Subscribe to the YouTube channel. Follow Doctor Motley Instagram Facebook Website Follow Lorrie Rivers https://lorrieriversholistic.com/ Holistic Healing with Lorrie Podcast:  https://m.youtube.com/@LorrieRiversHolistic?ra=m Get on the Waitlist For Lorrie's AI Training: AI as a Partner for Your Health Journey:  https://lorrieriversholistic.simplero.com/page/703848-waitlist-ai-heal AI for Practitioners:  https://lorrieriversholistic.simplero.com/page/703850-waitlist-ai-practitioners ------  *You can get cell support in gummy form: Mitopure now starts at $79, when you go to timeline.com/DRMOTLEY. *Join Doctor Motley's newsletter for TCM insights and regular podcast updates: https://www.doctormotley.com/ *Do you have a ton more in-depth questions for Doctor Motley? Check out his course on emotions and the body in his membership. You'll find other courses full of his TCM and frequency medicine expertise and clinical wisdom, plus bring all your questions to his weekly lives! To try risk-free for 15 days click here: https://www.doctormotley.com/15

What if the thing helping you feel less stressed, less overwhelmed, and more organized wasn't another self help book, coach, or productivity hack? In this episode, Jamie shares how she's using ChatGPT in her everyday life and why it's quickly become one of the most useful tools she has. From navigating stepfamily challenges and difficult conversations to organizing her business, planning trips, brainstorming content, making decisions, and simplifying everyday tasks, Jamie walks through the practical ways AI is helping her save time and mental energy. Whether you're curious about ChatGPT, already using it, or wondering if it's worth the hype, this episode will give you real examples of how AI can support your life both inside and outside of stepmotherhood. In This Episode: • How Jamie uses ChatGPT to navigate stepfamily challenges • Ways AI can reduce decision fatigue and mental load • Using ChatGPT for parenting, marriage, travel, and organization • How AI is supporting business growth and content creation • Practical prompts you can start using today Looking for ChatGPT prompts that can support your stepfamily life? Subscribe to Jamie's Substack: https://jamiescrimgeour.substack.com/ Check Out The Stepmom Rebrand: www.stepmomrebrand.com Work With Jamie: www.jamiescrimgeour.com/coaching Episode Sponsors: Cozy Earth Use code COZYJAMIE for 20% off your order at www.cozyearth.com LMNT Get a free sample pack with any purchase at www.drinklmnt.com/kickassstepmom

Jenny Lei is the founder of Freja, the cult-favorite vegan handbag brand that you've probably seen on Hailey Bieber, Sarah Jessica Parker, and all over your feed.But here's what you might not know. Jenny started Freja with no fashion background, no design experience, and no investors. She funded it herself with money she made from a dropshipping business she built after Googling "how to make money fast online" because she had to pay for her life living in NYC. She launched a work bag brand out of her New Jersey apartment in February 2020, weeks before the entire world stopped going to the office. She signed up two thousand people to an email list, sent her launch email, and didn't get a single sale. And she was doing all of it on a visa, with a clock ticking on whether she'd even get to stay in the country. Today, Freja is a multi-million dollar brand and one of the most talked-about names in the space.In this episode, Jenny gets really honest about the slow years nobody talks about, why she believes growing too fast can actually be a curse, and the moment she broke down crying in an airport because she'd been holding the entire business together by herself, with no systems underneath her. We talk about the difference between selling products and creating a brand, how intuition is built through failure, and learning to separate who you are from the company you create. She also opens up about burnout, the systems and team she built behind Freja, and what it was like to step into the spotlight after years of hiding. If you're in one of those quiet, slow seasons right now — doing everything right, waiting for it to pay off — this is the conversation you need to hear.In this episode, we'll talk to Jenny about:* Why growth should be measured by learning, not just revenue. [02:37]* The downside of growing too fast without understanding why it worked. [03:58]* Growing up with curiosity and the freedom to explore new interests. [04:05]* Navigating identity after moving between China and the United States. [06:00]* How a vegan Instagram account became an early entrepreneurial venture. [06:58]* Separating personal identity from the business you build. [09:08]* Why the business should work for you—not the other way around. [10:00]* From Cornell graduate to Googling how to make money online. [13:55]* Learning the fundamentals of online selling through dropshipping. [15:22]* The difference between selling products and building a brand. [17:05]* Creating Freja after failing to find the perfect work bag. [19:25]* Using naive optimism to design a product without a fashion background. [20:25]* Launching just before the pandemic and facing an immediate setback. [24:25]* Why volume, consistency, and paid ads fueled early growth. [26:02]* The gradual rise of Freja and the success of the Chrystie collection. [27:58]* Reaching a turning point and finally viewing the company as a real business. [29:07]* Burnout, team growth, and learning how to build systems at scale. [31:17]* The marketing channels that mattered most from startup to scale. [35:23]* Stepping into the founder spotlight and sharing the story behind the brand. [37:48]* How journaling became the most impactful business tool. [42:33]* Using ChatGPT and the Socratic method for better decision-making. [44:12]* Moving to London, evolving as a designer, and reimagining the future of Freja. [45:51]This episode is brought to you by Beeya:* If you or anyone you know have been struggling with hormonal imbalances and bad periods, go to https://beeyawellness.com/free to download the free guide to tackling hormonal imbalances* Plus, get $10 off your order by using promo code BEHINDHEREMPIRE10Follow Yasmin:* Instagram: https://www.instagram.com/yasminknouri/* Website: https://www.behindherempire.com/Follow Jenny:* Website: https://frejanyc.com/* Instagram: https://www.instagram.com/frejanyc/* Instagram: https://www.instagram.com/jennyyleiii/ Hosted on Acast. See acast.com/privacy for more information.

Send us Fan MailMost group sales reps are losing deals before they ever hit send. In Part 1 of a new three-part group sales series, Jeremy Neisser breaks down why one email template going to every organization on your list is quietly capping your response rate — and how reframing every pitch around the buyer's goal (fellowship, recognition, memories) instead of your ticket inventory tripled one rep's response rate in a matter of weeks. Tactical, specific, and built for marketing and ticket sales leaders who want a smarter outbound program this season.KEY TOPICS COVERED• Why product-first thinking is killing your group sales outreach• The one question every rep should answer before sending a pitch• Why churches don't buy tickets — they buy fellowship• Why HR directors need the easy button, not a 68-page PDF• Why youth team coordinators are buying memories, not pricing• How to build five core pitches that map to your five biggest group buckets• Using ChatGPT or Claude to categorize last year's group sales list• The real reason your 40–50 emails a week aren't converting• How decision-makers differ across group types — and what each one actually responds to• The mindset shift that separates order takers from revenue builders• What's coming in Part 2: the language shift most group sales reps missTIMESTAMPS00:00 – Welcome to Episode 168 and what's different about this three-part series00:29 – The most common group sales outreach mistake — one template for every group01:17 – Why product-first thinking shrinks your response rate01:45 – Case study: 40–50 emails a week to tripled response rate in weeks03:35 – The one question to answer before every pitch04:05 – Church outreach: why fellowship beats ticket pricing every time05:50 – Corporate outreach: why HR directors are buying the easy button07:44 – Youth sports outreach: memories, not seat maps09:10 – The tactical shift: build five core pitches, one per group type09:39 – Ninja move: use ChatGPT or Claude to categorize your existing group sales list10:38 – Why a specific message beats a high-volume e-blast every time11:30 – The three big takeaways from Part 112:00 – What's coming in Part 2: communication and the language shift most reps miss12:57 – Share the episode and what to do this weekCALL TO ACTIONIf this episode helped, share it with your group sales manager or a teammate selling group tickets — and rate the show on Apple or Spotify so more sports business pros can find it.QUOTE PULLS• "Every group that walks through your gate has a reason for being there. And it is almost never because they wanted to buy a hundred tickets." — Jeremy Neisser• "The reps who ask, why would this group want to come before they send anyone anything are the ones that close more business." — Jeremy Neisser• "She was sending 40 to 50 emails a week and getting almost no responses. Once she built five different versions, her response rate tripled in a matter of weeks." — Jeremy Neisser• "The rep who loses leads with ticket pricing. The rep who wins leads with why this is a great fit for what they're already trying to accomplish." — Jeremy Neisser• "Build your messaging around their goal, not your product." — Jeremy NeisserSports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine

Send us Fan MailMost Home Service business owners treat AI like a basic tool to create robotic prompts with generic results and poor return. In this episode of the Let's Vent Podcast, we sit down with a creative advertising legend and the CMO of Clover Growth Partners, Ken Moskowitz. He is a marketing mastermind who has spent over 40 years helping more than 1,000 businesses transform their brand messaging and drive real sales.He explains and show with real examples why the secret to elite marketing is knowing the right questions to ask, forcing the AI to ask you clarifying questions, and go deep into conversational voice modes to create authentic strategies.Connect with Ken Moskowitz:

Most small business owners and investors are one Google search or ChatGPT prompt away from making a legal mistake that costs them thousands - and they don't even know it. In this episode, I sit down with Joe Prencipe, a former Wall Street M&A attorney who trained at the #1 international M&A law firm in the world and has overseen more than $100 billion in transactions.   Now he's bringing that same world-class legal firepower directly to small business owners who deserve better than a paper-pushing attorney or a chatbot telling them what's "probably fine." Joe breaks down the most expensive mistakes business owners make, what one bad clause in a contract can do to the best deal of your life, and why slowing down to get the legal stuff right is actually what lets you build bigger.   This isn't a boring legal episode - it's a masterclass in protecting your wealth while you grow it. If you own a business, invest in real estate, or plan to scale anything at all, don't skip this one. Book your call with Neo Home Loanshttps://www.neoentrepreneurhomeloans.com/wjpodcast/ Book your mentorship discovery call with Cory RESOURCESGet business funding - revenued.com/juice

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No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

Doctors are using ChatGPT in clinic right now — and some of them don't care about privacy. Three operators on what that means for healthcare AI. Recorded live at health.tech in Basel, this panel from Faces of Digital Health unpacks the convergence reshaping clinical software: ambient AI scribes, agentic AI in healthcare, on-device LLMs, and the regulatory drag (MDR, EU AI Act, EHDS) that is widening the gap between what clinicians actually use and what hospitals are allowed to buy. Host Tjaša Zajc is joined by: Jonathan Bringas — CEO & Founder, Lapsi Health (Kaiku: FDA-cleared AI stethoscope, ambient scribe and clinical assistant in one device) Blaž Triglav — CEO, Mediately (drug information platform, 1M+ HCPs across Europe) Amanda Herbrand — Clinical data modelling consultant, formerly University Hospital Basel What the conversation covers: — Why EHR data fragmentation is the precondition AI hasn't solved — Shadow AI: why clinicians trust ChatGPT more than enterprise tools (and the agency hypothesis behind it) — The convergence of stethoscopes, scribes, drug information and decision support into one workflow layer — ROI in healthcare AI: financial, time, clinical accuracy — and Herbrand's fourth dimension, user satisfaction — "Doctors were the original vibe coders": the 2,000 Excel spreadsheets running European hospitals — Why FDA-cleared beats MDR in 2026 sales cycles, and what Chile's regulatory minimalism tells us — The asymmetry that will break European medtech: applicants using AI to build, regulators forbidden from using AI to assess — On-device AI, ambient computing, AGI in clinical workflows — and the de-skilling risk no one wants to discuss ⏱ Chapters 00:00 — Opening: AI agents, vibe coding, and what doctors actually want 01:30 — Data fragmentation: the precondition AI hasn't solved (Amanda Herbrand) 02:30 — Keiku: collapsing stethoscope, scribe and assistant into one device 05:15 — The convergence reshaping healthcare AI — and the shadow AI in clinic 07:30 — Why doctors trust ChatGPT more than enterprise tools: the agency hypothesis 10:30 — ROI: financial, time, clinical accuracy — and Herbrand's fourth dimension 15:30 — Choosing solutions: modular requirements and FDA-cleared moats 19:30 — EHDS and the missing connector in European standardisation 21:00 — "Doctors were the original vibe coders": the 2,000 spreadsheet problem 24:30 — The two-speed world: regulated medicine vs the Wild West 28:00 — Why Chile's regulatory minimalism beats Europe's MDR 30:30 — Agentic AI vs regulators: the asymmetry that will break European medtech 33:30 — On-device AI, AGI, and the deskilling no one wants to discuss

Google dropped like 197 new AI features this week.

In this episode of the Programmatic Digest, Hélène Parker and Assetou Kone dive into the evolving role of AI in programmatic advertising and campaign optimization. The conversation explores how media buyers and traders can use tools like ChatGPT and Claude to streamline workflows, analyze campaign data more efficiently, and uncover deeper optimization insights. Hélène opens the session by reframing optimization as more than simple "bid up, bid down" tactics. Instead, she explains how successful optimization requires hypothesis testing, strategic thinking, and understanding how DSP algorithms redistribute spend based on performance signals. Using practical examples, she demonstrates how removing underperforming inventory can improve overall campaign efficiency by reallocating budget toward higher-performing placements. Assetou walks through the fundamentals traders need before introducing AI into their workflows, emphasizing the importance of understanding campaign objectives across awareness, consideration, conversion, and loyalty stages. She explains how campaign goals directly influence which metrics traders should prioritize and optimize toward. The heart of the workshop focuses on prompt engineering and practical AI usage. Assetou demonstrates how traders can use AI to analyze site lists, identify inefficient domains, generate allow/block lists, surface top-performing inventory, and extract geo-level insights tied to real-world audience behavior. She also highlights how combining AI-generated insights with industry knowledge creates stronger strategic recommendations for clients. Throughout the discussion, Hélène and Assetou address common fears around AI and job security, explaining why traders who learn how to leverage AI tools will become more valuable — not less. They close by discussing the future of agentic AI within DSPs and how automation can help traders spend less time buried in spreadsheets and more time focusing on strategy and insight generation.    

Every wish on your AI wish list?

In this episode, John Highley breaks down how AI—specifically ChatGPT—is completely changing the way dent techs handle marketing, branding, and customer materials. This isn't theory. This is real-world use during a hailstorm—when speed matters, materials run out, and you need solutions right now.

Some seasons of life feel heavy. Not because you're failing…but because you're growing. In this episode of Operation Be, I'm talking about what it really looks like to navigate pressure, stress, and major growth as a business owner and human being…without losing yourself in the process. Over the last year, I've experienced some incredibly hard and transformative moments across my businesses and personal life, and what I've learned is this: stress can either break you, or build your capacity. We're getting into emotional intelligence, ownership, boundaries, overwhelm, and the importance of going back to basics when life feels chaotic. I'm also sharing practical tools that help me regulate stress, simplify systems, and create clarity. Because sometimes the answer isn't doing more. It's slowing down enough to recalibrate.

JLR was paddled by his mom. Using ChatGPT as a therapist. JLR was involved in another car accident on the freeway. There is no AC at bankruptcy box. Little League umpire stealing the spotlight from the players. Charlie hates fun. The Savannah Bananas. A man walking across the airport runway in Denver was hit by a plane. People are upset with Pete Davidson for comments he made at the Kevin Hart roast. Charlie had a Mortal Kombat tournament at his house. JLR went on a road trip over the weekend and hit song and suds. A NYC tenant, who has not paid rent in years, harasses other occupants. An old man was walking into the subway died after he was pushed down the stairs. Duji thought Wuthering Heights was hot and steamy. A listener sent JLR a Dollar store gift card. Did Rover call his mom?

JLR was paddled by his mom. Using ChatGPT as a therapist. JLR was involved in another car accident on the freeway. There is no AC at bankruptcy box.

JLR was paddled by his mom. Using ChatGPT as a therapist. JLR was involved in another car accident on the freeway. There is no AC at bankruptcy box.See omnystudio.com/listener for privacy information.

JLR was paddled by his mom. Using ChatGPT as a therapist. JLR was involved in another car accident on the freeway. There is no AC at bankruptcy box. Little League umpire stealing the spotlight from the players. Charlie hates fun. The Savannah Bananas. A man walking across the airport runway in Denver was hit by a plane. People are upset with Pete Davidson for comments he made at the Kevin Hart roast. Charlie had a Mortal Kombat tournament at his house. JLR went on a road trip over the weekend and hit song and suds. A NYC tenant, who has not paid rent in years, harasses other occupants. An old man was walking into the subway died after he was pushed down the stairs. Duji thought Wuthering Heights was hot and steamy. A listener sent JLR a Dollar store gift card. Did Rover call his mom?See omnystudio.com/listener for privacy information.

☎️ Book Your COMPLEMENTARY CONSULTATION and CALORIE CALCULATION Call: https://calendly.com/d/2p8-mxx-dgf/free-consultation-call-zoom⁠⁠⁠⁠⁠⁠Join our 8 Week Fat Loss Coaching Program: https://www.vitalityoet.com/2026fatloss You've probably seen it — or done it. You ask ChatGPT how many calories you should eat, it gives you a number, and you follow it. It sounds scientific. It feels like you're doing something right.But here's what nobody's telling you: the formula ChatGPT uses doesn't know your hormones, your thyroid, your stress, your sleep, your diet history, or how well your body actually converts food into fuel. It uses four variables to calculate a number that should require at least twelve.And then there's the other problem — ChatGPT is trained to agree with you. If you've been going down a low-carb path, it's going to hand you a low-carb plan. Not because it's right for you. Because it's designed to mirror back what you already believe.In this episode, Stephanie breaks down exactly why AI-generated calorie and macro calculations miss the mark for women in perimenopause and beyond — and shares what she found when she put ChatGPT's meal plan directly into MyFitnessPal.

This week we're giving EVERYONE the gift of bonus content! For those who haven't yet joined the GG VIP Club on Patreon, we hope sharing this week's Rusty Anchor Happy Hour inspires you to join! Kerri shares a crazy story about transporting a new couch, while H. Alan shares fears about cushion farts. Plus: We use Chat GPT to solve a few of The Golden Girls' most iconic predicaments. Cheers! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What happens when global policy decisions collide with the realities of the shop floor?  In this episode of MakingChips, the team sits down with Brennan Grignon, founder and CEO of Vantive, to unpack the hidden complexity behind supply chains that power everything from defense systems to everyday manufacturing.  With experience advising at the highest levels of government, Brennan brings a rare perspective on how geopolitical decisions ripple all the way down to machine shops across the country. At the heart of the conversation is a hard truth: supply chains are not as flexible as policymakers often assume. Moving production isn't like flipping a switch—it's a tangled web of materials, processes, certifications, and human expertise that can take years, not days, to shift. And yet, those decisions are being made every day, often without a full understanding of the downstream consequences. The discussion dives deep into the structural challenges facing the defense industrial base, especially for small and mid-sized machine shops. From cash flow constraints and unfavorable payment terms to the rising cost of compliance like CMMC, many shops are being asked to shoulder burdens that simply don't make financial sense. The result? A system full of opportunity, but also friction, risk, and misaligned incentives. Despite the challenges, there's also a sense of possibility. With advancements in digitalization, predictive modeling, and better visibility into supply chains, there's a path forward. But it will require collaboration, smarter policy, and a willingness to rethink how the entire ecosystem works, from government to primes to the shop floor. Segments (0:00) Setting the tone for the episode with Brennan's "dad joke"  (1:31) Introduction to Brennan, Vantive, and her mission to solve supply chain disruption (3:58) Brennan's background advising the Department of Defense on supply chain resilience (9:38) Lessons from leading supply chain efforts during COVID response (10:55) Real-world example of how geopolitical decisions impact machine shops (15:22) The myth of "just moving production" and why it's far more complex (17:24) The emerging requirements of CMMC certification and the effect on the DIB (18:31) You need to come join us at IMTS 2026, September 14th-19th! (19:27) The missing piece in procurement: why supply chain risk isn't formally measured (22:10) Why small shops struggle to participate in the defense industrial base (25:13) The broken incentive structure between government, primes, and suppliers (32:10) Cash flow challenges and unfavorable payment terms for small manufacturers (37:21) Workforce instability and the impact of inconsistent demand cycles (38:40) Check out the Hennig WorkFlow: a 40-pallet automation system (39:31) Risks tied to critical materials and global dependency challenges (45:30) The looming impact of CMMC compliance on the majority of machine shops (48:50) Practical call to action: be specific, propose solutions, and leverage trade organizations (57:47) Can local MEPs help fund a small shop's CMMC certifications? (59:51) Get a free report of sales opportunities in your area at FacturMFG.com/chips (1:00:55) How Vantive is turning supply chain uncertainty into actionable data Resources mentioned on this episode Connect with Brennan Grignon and Vantive (and come see her at IMTS) Jason Ray and Paperless Parts Why AI Isn't the Answer for Quoting: The Risks of Using ChatGPT in Manufacturing How to Fix Your Quoting Process Before it Kills Your Shop You need to come join us at IMTS 2026, September 14th-19th! Check out the Hennig WorkFlow: a 40-pallet automation system Cybersecurity Requirements for DoD Contractors: A Deep Dive into CMMC with Jacob Horne Trade organizations: NTMA, NDIA, & AMT Oklahoma's MEP Connect With MakingChips www.MakingChips.com On Facebook On LinkedIn On Instagram On Twitter On YouTube

AI is the secret weapon entrepreneurs and content creators can no longer afford to ignore. It has quickly become essential for scaling ideas, creating content faster, and staying competitive. In this final episode of the YAPCreator Series Replay, Hala Taha dives into how artificial intelligence is reshaping content creation and entrepreneurship. You'll hear from top business and tech leaders, including Reid Hoffman, Tom Bilyeu, and Jen Gottlieb, as they explore ways to leverage AI to enhance your creative process, improve productivity, and maintain a competitive edge. In this episode, Hala will discuss:  (00:00) Introduction (01:56) Why AI Is Essential for Entrepreneurs (04:50) AI and the Rise of Solopreneurs (09:54) AI's Real Impact on the Future of Work (11:59) Using ChatGPT as a Content Assistant (15:25) How AI Is Supercharging Human Creativity (18:42) Ken Okazaki's AI Formula for Viral Hooks (20:34) Podcasting and AI Marketing Trends (25:39) Will AI Disrupt Content Creation Entirely? (31:48) Reid Hoffman on AI Agents and What's Next  Hala Taha is the host of Young and Profiting, a top 10 business and entrepreneurship podcast on Apple and Spotify. She's the founder and CEO of YAP Media, an award-winning social media and podcast production agency, as well as the YAP Media Network, where she helps renowned podcasters like Russell Brunson, Jenna Kutcher, and Neil Patel grow and monetize their shows. Through her work, Hala has become one of the most influential creator entrepreneurs in podcasting. Sponsored By: Huel - Get over $50 in savings with the Discovery Bundle from Huel. Use my exclusive code YAP15 for 15% off at huel.com/yap15. Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting   Resources Mentioned: YAP E254 with Jen Gottlieb: youngandprofiting.co/4324ayp YAP E291 with Gary Vaynerchuk: youngandprofiting.co/41DRxcd YAP E252 with Harley Finkelstein: youngandprofiting.co/4i2IYN5 YAP E230 with Ken Okazaki: youngandprofiting.co/3Ervwnx YAP E226 with Neil Patel: youngandprofiting.co/4gqjng0 YAP E316 with Kat Norton: youngandprofiting.co/40I34q4 YAP E155 with Kelly Roach: youngandprofiting.co/4h1LfrD  YAPCreator Replay E1: youngandprofiting.co/YCR-E1 YAPCreator Replay E2: youngandprofiting.co/YCR-E2 YAPCreator Replay E3: youngandprofiting.co/YCR-E3 YAPCreator Replay E4: youngandprofiting.co/YCR-E4  YAPCreator Replay E5: youngandprofiting.co/YCR-E5  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, AI in Action, Generative AI, AI for Entrepreneurs, AI Podcast

OpenAI woke up this week and chose violence.

Let's talk about AI—because I know some of you are curious, some of you are already using it constantly, and some of you are like, “absolutely not.” All fair.In this episode, I'm sharing how tools like ChatGPT can actually support an ADHD brain in real life. Not as a replacement for your thinking, your relationships, or your treatment—but as something that can hold your thoughts, help you get unstuck, and make it easier to follow through when your brain is overwhelmed. Because when you have ADHD, you're carrying a lot all at once, and having something that can help you organize, process, and respond in the moment can be a game changer.We also talk about the concerns—because they're real. AI isn't perfect, it can be inaccurate, and it shouldn't replace human support. And at the same time, when used intentionally, it can be a powerful, low-barrier tool that helps bridge the gap between knowing what you want to do and actually doing it.If you've ever felt stuck, overwhelmed, or unsure how to move forward, this episode will open your eyes to a new kind of support that's available to you right now.Watch this episode on YouTubeWant help with your ADHD? Join FOCUSED!Have questions for Kristen? Call 1.833.281.2343Hang out with Kristen on Instagram and TikTokSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.