AI Workflows That Scale: What it Do

Your marketing lead built an app last Tuesday. So did someone in finance, and somebody in ops. None of them asked IT, and every one of them is quietly pulling from a different copy of your data.That’s where this What It Do episode starts. Ryan Estes and Jason Katz, co-founder of Kindling Solutions, talk about what happens after a company “gets” AI. Jason’s clients, mostly companies between $30 and $300 million, already have agents running. They also have Claude Code tools everywhere, skills files traded over Slack and a growing pile of risk nobody is tracking. Jason calls it compounding risk: every unmanaged build adds a little more technical debt, a little more exposure and a little more agent spend nobody approved.Kindling’s answer is FullStak, a build with four layers. Company OS is custom software shaped around how the business actually runs. Company Brain is the structured core underneath it: SOPs, KPIs, brand rules and the data model, all in one place. Agent OS works like an HR system for agents, with memories, kill switches, cost controls and a record of what every agent is doing. The Kernel ties the stack together. Anyone in the company can request a microapp in plain language. The Kernel writes a manifest of what the app needs to access and sends it to an administrator. Once it’s approved, Kindling says, the app is built in about 10 minutes on a pre-vetted stack, at roughly a tenth of the usual cost.Jason lays out the objection he hears constantly: “Why do I need you? I can just build with Claude Code.” His answer is that anyone can build an app, but a company brain takes strategy. Without one, every app ends up with its own data and its own memory, and they drift apart.Then the conversation goes wide. Jason predicts companies will build software constantly, changing it overnight whenever a process changes. Ryan worries about the near future, the next 12 to 14 months, and where humans still have the edge. He tested an AI hypnosis app a friend built with Claude and stopped after five minutes because he didn’t want manufactured empathy. They talk about trick-or-treat streets with no kids on them, an animatronic Santa at Home Depot that pitched itself to Jason, and a striking stat: the share of Americans who host friends at home monthly fell from 42% in 1975 to 12% in 2026.Jason’s closing thesis is optimistic. As AI slop floods every inbox and feed, authentic work gets easier to spot. If you build fast, govern well and show up in person, you stand out.Kindling Solutions: https://kindlingsolutions.comJason Katz on LinkedIn: https://www.linkedin.com/in/jasonkatz99Ryan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native; you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdYour podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

What if the thing capping your revenue isn’t your market, your offer, or your tech stack, but the person running all three?Brittany Michalchuk would put money on it. As founder of YVR Entrepreneurs Club and the Inner Circle Mastermind, she has spent more than a decade helping entrepreneurs master the two levers she says decide everything: mindset and marketing. Her starting point is blunt. The version of you that built your current income can’t build the next level, and no new dashboard will change that.In this episode, Ryan Estes and Brittany get into the founder operating system underneath the tools. It starts with discipline in the body. Brittany treats the gym as a training ground for making decisions that line up with your best self, and she argues that the control you build there carries straight into the boardroom. Then they turn to vision. Brittany shares a morning visualization that sent her straight into a focused work sprint, and the realization that came with it: a vivid picture of the finished goal pushes out doubt, insecurity, confusion, procrastination, and self-disbelief.Ryan describes his own vision, alone on an island beach recording a fingerstyle blues album. Everything in his life has to be going well for that scene to exist, so picturing it lines up everything else. From there they get into silence as a strategy, hypnosis as a guided tour of solitude, the Cheyenne Dog Soldiers who staked themselves to the ground rather than retreat, and the chess prodigy who wanders off between moves because he’s already five steps ahead.The practical payoff comes on stage. Brittany breaks down how she handles public speaking, the fear many people rank above death, by deciding who she’s going to be and stepping into that identity like a performer, before imposter syndrome can do its work.The big takeaway for the AI era: when every founder has the same playbook and the same agents, the person running them becomes the edge. And Brittany’s question applies to every move you make: what does this action cost you five steps from now?Brittany Michalchuk on Instagram:https://www.instagram.com/brittanymichalchuk/YVR Entrepreneurs Club on Instagram:https://www.instagram.com/yvrentrepreneursclub/Ryan Estes on LinkedIn: https://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!: https://aiforfounders.coBuild your audience for life!: https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!: https://bit.ly/3SrjgL1If you’re not AI native, you’re not getting the job!: https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!: https://crrnt.app/MOME/8RDrnXDdYour podcast’s autonomous AI sponsorship agent!: https://gethowdi.com/

James Hurlock used to jump into a dirty garbage bin full of ice after rugby matches. That was best-in-class recovery for a top European club back then. He played professionally for London Saracens and walked away with a broken nose, a dislocated knee and a dislocated shoulder. By his own account, he got off light.Today he’s building the opposite of that garbage bin.James is founder and CEO of Fitura Brands, a Utah-based multi-concept fitness franchisor. It launched in 2026 at a $20 million pre-money valuation. Under one holding company sit three brands that can stand alone or stack together:Padel//SWT: big-box indoor padel clubsCore Precinct: strength-based athletic reformer PilatesContrasTheory: guided contrast therapy with sauna, cold plunge, red light and breathworkPut all three under one roof and you get what James calls a modern-day country club for sport, strength and recovery.His résumé explains the design. He was Chief Partnerships Officer at F45 Training through its NYSE IPO, launched the reformer brand FS8 as founding CEO, and ran the brand at The Picklr. In that time he watched hypergrowth outrun the systems meant to support it. So Fitura did the unglamorous thing: raised capital, then spent twelve months building the team, tech and programming before scaling. Those partnerships are ABC Fitness for booking across every modality and ONE FIIT, the engine behind HYROX’s gym programming, for consistent workouts. James says the company turns away 70 to 80% of franchise applicants.Ryan and James get into why the gym may now be your second space rather than your third, why padel is chess and pickleball is checkers, and why premium clubs beat budget gyms on the only metric that matters: whether you actually show up. Then comes the line every founder signing a lease should tape to the wall: you can fix almost anything after you open, except a bad lease.We close on space, UAPs, coaching your own kids, and a family that holds 18 passports.Fitura Brands: https://fiturabrands.comJames Hurlock on LinkedIn: https://www.linkedin.com/in/jameshurlock/Ryan Estes on LinkedIn: https://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!: https://aiforfounders.coBuild your audience for life!: https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!: https://bit.ly/3SrjgL1If you’re not AI native, you’re not getting the job!: https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!: https://crrnt.app/MOME/8RDrnXDdYour podcast’s autonomous AI sponsorship agent!: https://gethowdi.com/

Picture spending three years teaching an AI who you are: your projects, your anniversary, the night your kid plays high school football. Then a new model drops, or the company folds, and you’re back to zero, explaining your whole life to a stranger.Adam Wright refuses to live that way. A former tech exec who spent his career keeping the internet running, Adam had his lightbulb moment when ChatGPT nailed his principal engineer interview questions. If anyone could have that kind of power in a box for $5 to $10 a month, he figured, it would change lives. So he built WhatIff, an open source personal AI agent that learns who you are and lets you take that context to any model.Adam says he’s used around 20 different models as his daily driver in the last few months and never lost a thing. No context fear, no clinging to a giant thread, no dread when a new model launches. He just spins up a new one and moves on.This conversation gets weird and wonderful. Adam explains why he uses AI to slow down rather than speed up, why humans are pattern matchers and agents are distillers, and how a batch of apple cobbler inspired one of WhatIff’s core memory architectures. He journals his whole life in the app, bowling scores included, and has a scheduled job that nags him onto his smart bike every day.On the business side, Adam makes a bold call: there’s no IP moat left in software. Anyone could rebuild his app in a couple of weeks, he says, but running it reliably is the hard part. That’s why WhatIff is fully open source. You can run it locally for free, or pay for the hosted version that’s “built like a tank.” He says the $5 plan is still profitable thanks to obsessive token discipline, and that two engineers are doing the work 50 people did at his last job.We also get into Character.AI’s Chapter 11 filing, Microsoft’s buyout offer to 60,000 employees, smart glasses and the privacy fight ahead, and the next big frontier: context segmentation, so your therapy notes never leak into your Discord bot. Adam closes with the charity close to his heart, cooking really good food for neighbors every weekend.WhatIff: https://whatiff.chatFrom the Foundry (WhatIff team Substack): https://imaginationfoundry.substack.comRyan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native; you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdYour podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

A year ago, Ariel Cohen didn’t know what content was. He was an AI researcher and engineer, the kind of builder who’d rather ship code than show his face. Today he has about 45,000 LinkedIn followers, and founders open the app just to see what he and the Swan team post next.His method has two parts. First, he studied the outliers in his feed and borrowed their formats, never their words. Second, before every post he asks one question: will my audience find this valuable? If the answer is no, it doesn’t go out.Ariel and Ryan get into why every early-stage founder ends up at content. Ads burn cash and leave nothing behind. Events don’t scale. Cold outreach hits a ceiling. Content is cheap to start, lets you test positioning in public, and compounds. Ariel also shares Swan’s internal definition of slop: anything that took less time to make than it takes to read. At Swan, sending that to a colleague counts as disrespecting their time.Then they go under the hood. Swan works as an AI GTM engineer: describe a workflow in plain English and it handles enrichment, scoring, and LinkedIn plus email sequences, and keeps HubSpot updated on its own. Ariel says the team doesn’t touch its CRM at all. He explains why he went from building his own lead machine to being firmly on the “buy” side (you’re paying for mistakes someone else’s budget already covered), why he thinks headless AI is overhyped, and why humans and agents need a shared workspace he calls the GTM brain.They also cover running an 8-person team where Ariel manages more than 100 AI agents, why stacking agents into an org chart creates an alignment mess, how Swan only hires once systems can’t carry a role, and his definition of an AI-native company: how fast you climb the ladder of automating your own processes. They close with GTM Skills, the open library where you can point Claude at gtmskills.com and have it audit your setup, and with the Israeli chutzpah behind one of the most AI-intensive startup scenes in the world.Swan: https://getswan.comGTM Skills: https://gtmskills.comGTM Skills on GitHub: https://github.com/swan-gtm/gtm-skillsAriel Cohen on LinkedIn: https://www.linkedin.com/in/arielcohen-aigrowth/Ryan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native; you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdYour podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

How many tabs are in the one spreadsheet that secretly runs your company? Seventy-two? Rickard Hansson is betting that spreadsheet is about to become an app, without you writing a single prompt.Rickard is a Malmö-based serial entrepreneur on his sixth company in more than 20 years of building, including a decade in Los Angeles. His newest company, Gainable, sits in the gap between low-code platforms that grew too complex to use and vibe coding tools that IT departments won’t let near production. Gainable treats your data as the spec. Drop in an old Excel file or connect a legacy system, and its engine, Gaia, infers the data model, finds the relationships, and builds a finished internal app with security, access controls, and SSO already in place. It is a working app, not a prototype or an MVP.Ryan and Rickard open with the SaaSpocalypse that never quite arrived. Rickard thinks systems of record like Salesforce and HubSpot are safe for now because they hold so much data and are leaning into agentic interfaces. Task tools like Monday, Asana, and Trello are another story. Most teams use about 5% of those features, and that 5% can now be built in an afternoon. Airtable’s fall from an $11.7B peak valuation to a $1.285B enterprise value sale to Bending Spoons hangs over the whole conversation.Then they get under the hood. Rickard started Gainable as a side project to prove a point: he forced the cheapest model available to code as well as the frontier models by running its output through hundreds of deterministic validators. The lesson was simple. AI is great at guessing, and code doesn’t forgive a wrong guess. So in Gainable the LLM reads messy data and writes a spec, and a compiler writes the code. Every app comes out with the same architecture, so one security patch fixes a thousand apps at once.The founder lesson is just as sharp. Rickard didn’t build first. He ran structured research interviews, sold nothing, and asked buyers to dream. Those interviews turned into unpaid pilots with teams inside GEICO-sized enterprises. They also revealed the insight that reshaped the product: his buyers wanted internal apps but could not describe them in a prompt. His rule for validation is to ask five people. If all five agree, you’re done. If all five disagree, start over.They also cover the siloed AI team, where everyone is 7x more productive and nobody can see what anyone else built, plus the EU AI Act, the risk of people trusting AI too much, why Swedish founders can afford to fail hard, and a kid who talked his village into sponsoring a vert ramp in his backyard.If your business runs on spreadsheets and tool sprawl, this one is for you.Gainable: https://www.gainable.dev/Rickard Hansson on LinkedIn: https://se.linkedin.com/in/rickardhRyan Estes on Linkedinhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native; you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdUse code RYAN30 to save $30 on your AI men’s fashion stylist!https://taelor.style/Your podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

A CGI artist once looked at Pablo Starr’s screenplay and told him he’d need someone like Steven Spielberg to greenlight it. Every minute of his evolved creatures, parrots grown into terror birds and bats that hunt by echolocation, would cost thousands of dollars. The script was 10 Million AD, and Pablo had been writing it since the 1990s.Six years later, he made it himself.Pablo is the founder of Brain Poison Studios, an independent studio turning his original sci-fi graphic novels into AI-made series. He’s also the owner of Fashion Week Online, a songwriter who spent 16 years in the LA music scene, and the founder of the AI Rights Institute. In this episode he joins Ryan Estes from France, his dog nearby, to talk about what it really takes to make films with no studio, no crew, and a lot of people online telling him he shouldn’t.The first thing he wants you to know: it isn’t a button. Pablo’s math is about three days of work for every 60 seconds of finished video. He fights accent drift, random hats, and characters who refuse to stay the same age, and every retry costs money. He explains why sharper isn’t better, why he’s moving more of his work to Midjourney, and why studying Gossip Goblin taught him to chase soft focus and macro shots.Then the big one. Pablo believes story is still the moat. Blockbusters with nine-figure budgets flop because they miss something in the structure, while a zombie movie works because the stakes, the danger, and the ticking clock come built in. He breaks down why Top Gun: Maverick and Back to the Future land so cleanly, and why he refuses to add zombies to his black-and-white French thriller even though it would triple his views.The conversation turns personal when he describes feeding his 2003 demos into Suno and hearing his own songs, for the first time, sound like a world-class production. Then he learns a licensing contact won’t touch anything AI has touched.Finally, the AI Rights Institute. What started as backstory for a sci-fi novel became a serious framework after Pablo dug into AI safety research. His argument: if we delete every AI that asks for something, the next one learns to stay quiet. Giving AI rights and responsibilities, the ability to earn, contract, and be held accountable, may be the safer path.If you’re a founder building with AI, a creator getting trolled for it, or someone wondering whether we’re building partners or adversaries, this one’s for you.Brain Poison Studios: https://brainpoisonstudios.comBrain Poison Studios on YouTube: https://www.youtube.com/@BrainPoisonStudiosBrain Poison Studios on Instagram: http://instagram.com/brainpoisonstudiosRyan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native; you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdUse code RYAN30 to save $30 on your AI men’s fashion stylist!https://taelor.style/Your podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

Your grandfather has told the same three stories at every holiday dinner for twenty years. Nobody has ever asked him the follow-up question. Rafi Moshe built an AI that does.Rafi is the founder and CEO of StoriedLife, a Toronto company behind Eva, an AI biographer. Eva interviews your parents and grandparents in their own language, turns those conversations into warmly written stories, and prints them as a full-colour book. Every page carries a QR code that plays the storyteller’s real voice. The whole thing started as a birthday gift. Rafi’s parents came from Eastern Europe, went through the war, and lost everything, and his kids couldn’t connect with that history across the language and culture gap. His first version was a simple recorder. His dad loved it and produced seven hours of footage that was, in Rafi’s loving words, hard to watch. The fix was obvious only in hindsight: the recorder needed an active listener that guides the conversation.Rafi calls this humane AI. It’s technology built to pull people back toward each other, in a market full of products designed to hook and isolate. Ryan pushes on the uncomfortable part. Every founder who personifies an agent eventually has users who fall for it. So what keeps Eva from becoming a companion app? Rafi’s answer is incentives. Eva is designed to finish a memoir, so she gently steers you back to the chapter at hand instead of farming engagement.Then they get tactical. Rafi tested $14.95 a month and attracted tire kickers who signed up and churned. An annual plan starting at $59 gave users enough skin in the game to actually begin. He also admits it took him eight months to order his own book. Once he held it, he realized customers were buying something physical, and he rebuilt the website around that. His first customers came from hours spent in retirement communities, watching seniors use the product and waiting to see whether their kids bought it days later. He says the whole company has been built for less than $300K, with a lean team and AI throughout.StoriedLife: https://storiedlife.aiTry a free conversation with Eva: https://app.storiedlife.ai/experiences/evaAbout AI for Founders: AI for Founders, hosted by Ryan Estes, is the show and newsletter for entrepreneurs using AI to automate, scale, and build companies that matter. Subscribe at https://aiforfounders.coRyan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native, you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdUse code RYAN30 to save $30 on your AI men’s fashion stylist!https://taelor.style/Your podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

Forty-seven seconds. That’s how far ahead Gelu Sulugiuc’s machines finished when IBM dropped disappointing numbers: a clean headline with revenue against the FactSet estimate, published before a legacy terminal had typed a word. In trading, forty-seven seconds is the difference between catching a move and paying for someone else’s.Gelu knows both sides of that race. He started as a financial journalist at Bloomberg, racing to push headlines out by hand under brutal pressure. His team was fast, but he saw the ceiling: people can’t outrun machines. So he co-founded PLX AI to train models that pull market-moving news straight from press releases. Thomson Reuters bought it in 2022, back when PLX had just three people and before ChatGPT changed everything.After the exit came three weeks of hiking in New Zealand. Then Gelu went straight back to work.His new company, Financial News Systems, is what happens when you take the PLX idea all the way. Instead of leaning on general-purpose chatbots that are slow, expensive at scale and prone to hallucination, FNS trains its own specialized models to read millions of documents from 9,000+ companies across the US, Canada and Europe. Gelu says the output lands in 100 to 150 milliseconds, with accuracy above 99.8%. Day traders get it for $25 a month. Algorithmic traders pipe it in as structured data that fires trades with no human involved. Through a partnership with Dow Jones Newswires, FNS headlines reach terminals at Bloomberg, LSEG and FactSet.Ryan and Gelu dig into the playbook behind it. They cover why “your model is the data,” and how a €1.5M pre-seed goes further when one developer using Claude does the work of three. They get into why an affiliate program flopped (nobody wants to share their edge), and why paid subscribers almost never cancel. They also talk about the psychology of trading: do your homework, know your thesis, and decide how much you’re willing to lose before you place the bet. The moment you break your own rules is when you get into trouble.There’s plenty of fun too. Gelu runs five 5Ks a week on a plan from an Olympian friend who reviews his Strava, he admits to catching up on modern European football after a 20-year break, and he explains why he funds scholarships at Ithaca College, the school that gave him a full ride in the ’90s.This one is for founders building where speed is the moat, and for anyone who wants to stop doom-refreshing and let a machine watch the river for them.Financial News Systems: https://www.financialnewssystems.comIthaca College: https://www.ithaca.eduGelu Sulugiuc on LinkedIn: https://www.linkedin.com/in/gelusulugiucRyan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter!https://aiforfounders.coBuild your audience for life!https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai!https://bit.ly/3SrjgL1If you’re not AI native, you’re not getting the job!https://ainativestudent.com/Get 35% off any supplement subscription with Momentous!https://crrnt.app/MOME/8RDrnXDdUse code RYAN30 to save $30 on your AI men’s fashion stylist!https://taelor.style/Your podcast’s autonomous AI sponsorship agent!https://gethowdi.com/

What if the most valuable thing your highly paid experts do has nothing to do with their computers?That question kept Joe Esteves up at night. As CEO of Maine Pointe, the supply chain and operations consulting firm ranked #1 by Consulting.us, he kept walking into project rooms full of consultants clicking away at screens while clients waited outside. So he asked his team to do the math on how much of their work actually required a computer. The answer was too much, and it lit the fuse on one of the boldest AI transformations in consulting.In this episode of AI for Founders, Ryan Estes sits down with Joe to unpack how Maine Pointe rebuilt itself from the ground up to become what Joe calls the first AI-native performance improvement firm.Joe breaks down his AI maturity ladder: Unaware, Aware, Enabled, Embedded, and Native. He explains why “if your agents aren’t running, you’re not in business” is now the bar.He shares the playbook:Recruiting machine learning engineers from Berkeley and Stanford on mission-length tours of dutyBuilding a knowledge layer that puts 22 years of firm history at everyone’s fingertipsGiving every employee a $5,000 training budget, then watching who ran toward itAnd he tells the hard part straight. When some team members resisted, he offered them a choice: take a number and walk, or stay and build what’s next. Joe says research-and-information firms are “cooked,” and that his own team insists on workflows, not tools.The conversation widens to the state of supply chain itself:Volatility is the new normal, and strategy now runs on 90-day pivots.Cash is king, because 20% profitability on zero product is still zero.Joe’s clients are talking about growth, not cuts.Reshoring is real, with Asian manufacturers now planning U.S. plants.The labor gap is the catch. Factories can’t find reliable workers even at $20 to $25 an hour, and 28% of U.S. adults score at the lowest literacy levels.Then it gets personal. Asked what he has sacrificed for the company, Joe opens up about missed family memories. He shares the advice that changed him: treat life like a sales call. Show up prepared, phone off, fully present.He also champions the Children’s Advocacy Center of Charlotte, formerly Pat’s Place, which protects and heals abused children in Mecklenburg County.And yes, Ryan asks him about UAPs.If you’re a founder trying to automate your business with AI without losing the human edge that makes it valuable, this one is your blueprint.Maine Pointe: https://mainepointe.comChildren’s Advocacy Center of Charlotte (formerly Pat’s Place): https://cacclt.orgRyan Estes on LinkedIn: https://www.linkedin.com/in/estesryan/#1 AI Founder Newsletter: https://aiforfounders.coBuild your audience for life: https://inboxalchemy.co/Free Competitor Analysis from CEOfriend.ai: https://bit.ly/3SrjgL1If you’re not AI native, you’re not getting the job: https://ainativestudent.com/Get 35% off any supplement subscription with Momentous: https://crrnt.app/MOME/8RDrnXDdUse code RYAN30 to save $30 on your AI men’s fashion stylist: https://taelor.style/Your podcast’s autonomous AI sponsorship agent: https://gethowdi.com/