AI for Founders with Ryan Estes

aiforfounders.co

AI for Founders is where 47,000+ founders learn to build and scale with AI. Hosted by Ryan Estes, a Denver investor, creator, and founder, the show breaks down real strategies from top operators and AI visionaries. AI-ready data, zero-dependency workflows, founder-led distribution, and the tools driving revenue for today’s fastest-growing companies. If you’re a technical or non-technical founder who wants to work smarter, scale faster, and stay competitive, this podcast is your weekly unfair advantage.

  1. 6d ago

    Tokenomics Will Wreck Your Margins: The AI Model Routing Workflow That Cuts Spend 50%

    Tarun Raisoni built a data center company to roughly $400 million in trailing sales without taking a dollar of outside capital, sold it to a Fortune 500 for $217 million, then walked away from the boat and the fishing rod to start over. His answer for why is four words long: "exits are just a number." What he started instead is Gruve, and what he came on the show to argue is the most uncomfortable idea in enterprise AI right now. Here it is. In the cloud era, your data went somewhere else and stayed exactly what it was. A provider could store it, back it up, and hand it back to you unchanged, because storage does not understand. The AI era broke that. When you push high quality proprietary data into a frontier model, the data can be parameterized, and the intelligence inside it can escape. Tarun's question is not who owns the file. It is who owns the understanding. He calls it the intelligence boundary, and nobody has drawn it yet. Ryan pushed on the obvious nightmare version. You install Claude Code across your team, they ship ten times faster, you feed your financials and your roadmap into it, and then Anthropic launches Claude for Teachers into the exact market you were building for. Tarun did not flinch. He reached for Amazon Basics instead, which is the cleanest available precedent: watch what sells on your platform, build your own version, undercut the seller. Except now the platform is not a marketplace. It is the thing your team talks to all day. His prescription is not "go local and hide." It is a hybrid routing model, and he is blunt that where you draw the lines depends entirely on your business. Some workloads belong in a frontier model because the data gravity and the IP density are low. Some workloads you fine-tune inside your own ecosystem on a large open source model. And some workloads you do not let a frontier model see, not the data, not the metadata, not even the shape of the algorithm. Then the economics arrive, and this is where founders should sit up. Tarun's word is tokenomics, and his point is that the bill you are staring at right now is not a real bill. It is a heavily investor-subsidized bill. What you paid for ChatGPT or Claude two years ago versus one year ago versus today reflects a subsidy that is being slowly withdrawn. Ryan told the story of a founder friend who worked himself into a hospital bed in January because he was convinced the tools were about to be yanked. Tarun's answer was calmer and more useful: stop worrying about the rug pull and start measuring whether the spend is actually producing measurable productivity. Software engineering is measurable. Most other things in your company are not yet. The go-to-market story is genuinely unusual. Enterprises are notoriously brutal to sell into, so Gruve bought its way to a standing start, acquiring NetServ, Lumos Cloud, and SecurView to import talent, partnerships, and customers in one motion. Cisco is both a channel partner and an investor. Reception from the inherited accounts, in his telling, was not resistance but relief, because those customers were being offered outcomes instead of headcount and hours. Gruve: https://gruve.ai Tarun's Forbes Technology Council article, "The Next Enterprise Won't Just Use AI, It Will Own Its Intelligence": https://www.forbes.com/councils/forbestechcouncil/2026/07/15/the-next-enterprise-wont-just-use-ai-it-will-own-its-intelligence/ Iron Lady Foundation: https://ironladyfoundation.org Tarun on LinkedIn: https://www.linkedin.com/in/raisoni/ https://www.linkedin.com/in/estesryan/ #1 AI Founder Newsletter!https://aiforfounders.co Build your audience for life!https://inboxalchemy.co/ If 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/8RDrnXDd Use 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/

    Tokenomics Will Wreck Your Margins: The AI Model Routing Workflow That Cuts Spend 50%
  2. Jul 25

    Tokens Go to Zero, Energy Goes to Zero: What Do You Build When Intelligence Is Free?

    Every animal on earth runs on four drives. Humans have a fifth. The question is whether AI feeds it or buries it under a pile of chat windows. That is the cold open Ryan Estes is bringing to a Denver AI panel next Wednesday, and it is why this week's What It Do with Jason Katz, co-founder of Kindling Solutions, is bigger than a build in public check in. Ryan walks through his whole panel hosting playbook live, and the metaphor is a DJ booth. Five panelists are five tracks. You mix them, you watch the room. You know when to loop somebody's best point and when to bring the fader down on a rambler. Jason's contribution: a bullhorn. One short honk to underline a great answer, three seconds to shut somebody up. Then Jason pushes back on the hook itself, the most useful sixty seconds in the episode. "Divine" is ambiguous, he says, and worse, it is divisive. Rewrite it as "does AI make us more or less human" and everyone in that room can answer it. Ryan takes the note on the spot. The heart of the episode is Jason's field report from two CEO meetings in one week, both at different places on the AI maturity curve. One has visionary leadership, sharp balance sheet instincts, and almost nothing underneath it operationally. The systems audit came back empty. The other has already built impressive end to end AI systems and has the opposite problem: a pile of tools with no shared brain, and a CEO asking how to fuse them into one operating system. Jason's read is that everyone lands in the same place. Every company will run on a custom operating system with AI inside it, and the spread between companies right now is the widest it will ever be. That spread is the entire market. Then Ryan drops the question he asks every guest: what AI automation would you be lost without? The answer is almost always the morning brief, the thing that reads your Slack, calls, calendar, and inbox and hands you five lines with your coffee. Jason's caveat matters. The brief is a beautiful entry point and also the ceiling for any company that has not fixed its operational leadership first. Without executive buy in, you are delivering a nicer looking version of the same chaos. From there: model routing, tokenomics, compliance, and the quiet fear that frontier labs will eat the tools built on top of them. Ryan uses Claude for Teachers as the case study. Jason's answer is not to defend the model layer. It is to own the layer nobody can copy. Code is democratized. Anyone can build a thing. The value is understanding the engine: workflows, business logic, and how they connect to strategy. That understanding is the moat. The best structural insight of the episode: an IT department is three buckets. Services, meaning hardware, permissions, users, servers. Data, meaning governance, security, and a model anyone can query. And applications, meaning custom software. In 2021, bucket three meant six months from "we need a thing" to a signed proposal, and up to five hundred thousand dollars for an iPhone app. That timeline collapsed to nearly zero. The reason IT owned it did not. As Jason puts it, three years ago your guy running Claude Code would never have been near building your company's software. He is building it now. Governance did not stop mattering because the build got fast. Kindling Solutions - https://kindlingsolutions.comJason Katz on LinkedIn - https://www.linkedin.com/in/jasonkatz99/ https://www.linkedin.com/in/estesryan/ #1 AI Founder Newsletter! -https://aiforfounders.co Build your audience for life! -https://inboxalchemy.co/ If 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/8RDrnXDd Use 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/

    Tokens Go to Zero, Energy Goes to Zero: What Do You Build When Intelligence Is Free?
  3. Jul 24

    $7,500 AI Team Replacing an Entire Growth Department

    Your Website Is About to Become a Line Item Matt Hassett spent seven years making byloftie.com beautiful. Now he is fairly sure that beauty is depreciating. Not because the design is bad. Because the customer is changing shape. Shopify says AI-driven traffic to its stores grew roughly 8x year over year in Q1 2026, with orders from AI search up nearly 13x. Loftie's post-purchase survey went from 1.5 percent AI attribution to 3 percent in six months. That is still small. That is also what small looks like right before it isn't. Here is the part that should scare every DTC founder. Ask an AI for a sleep product and you never land on a homepage. You get a list. Six items. Your brand is one word next to a category tag. Every hour of art direction and every bit of story that justified your premium folds into a row in a table. The row is the problem. Matt puts a number on it: Amazon costs Loftie roughly fifteen points of contribution margin versus direct. If agentic commerce quietly rebuilds Amazon inside every chatbot, that is not a distribution change. That is a repricing of your entire business. So he did something more interesting than panic. He pointed the same technology at his own books. Loftie had a rule buried in its email platform, written years ago by someone being responsible about GDPR, blocking welcome emails to the EU and UK. Sensible then. Loftie did not sell there. Then tariffs reshaped the business and international became roughly half of sales. Nobody updated the rule. Half of new customers were signing up for a welcome sequence they would never receive. No dashboard flagged it. It just sat there costing money until someone thought to look. Another brand poured spend into one narrow audience while Meta now rewards broad targeting. Another ran two creative families where one beat the other 2x, and funded the loser for months. Matt's advice was blunt: stop making those ads, you are losing money. None of it is clever. That is the point. These are not insights, they are inventory. Money already in the building that nobody had time to walk down and find. Which is how Deliberate got built backwards. Matt was not trying to start a software company. He was trying to keep five people employed through a tariff year without hiring a sixth he could not confidently pay. So he handed the rote work to agents, gave each one a name, a lane, and a personality, and let them argue. Zelda runs paid media. Maggie runs finance and pushes back when Zelda wants to spend. Louisa listens to customers. Seven more cover ops, Amazon, wholesale, people, and the site. Ten in all, $7,500 a month. The naming is not only a gimmick. Agent teams behave like human ones: they get better when perspectives differ. One optimist, one pessimist, one who always asks about the money. Make them identical and you have built an expensive echo. Underneath it is the thesis Ryan keeps circling: your taste is not data. You will build the beautiful ad and it will die, and a stick figure with a red X will convert like a slot machine. The businesses winning are not the ones with the best instincts. They are the ones willing to be corrected in public, by a machine, weekly. Both things. At the same time. That tension is the episode. https://byloftie.com/ https://deliberatestudio.com/ https://www.linkedin.com/in/matthew-hassett/ https://www.linkedin.com/in/estesryan/ #1 AI Founder Newsletter!https://aiforfounders.co Build your audience for life!https://inboxalchemy.co/ If 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/8RDrnXDd Use 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/

    $7,500 AI Team Replacing an Entire Growth Department
  4. Jul 22

    Your AI Agents Are Burning You Out: The Sustainable AI Workflows Founders Actually Need

    Fourteen terminal instances. Fifty-two tabs across three browsers. Six customers, a dozen half-finished workflows, and a Friday morning where your brain simply refuses to boot. That's not leverage. That's a slow-motion crash dressed up as productivity. This week, Ryan sits down with Ilan Man, founder and CEO of Paradox Machines, an AI-enabled data services company helping mid-market and private equity-backed businesses finally get real value from their data without the enterprise price tag. Ilan spent nearly 20 years in data before founding anything: statistician, actuary, data scientist back when it was "the sexiest job in America," data engineer, data leader, and consultant at an exited firm. Four months ago he put on the founder hat for the first time, backed by Infinity Constellation, the AI-native holding company founded by CEO Brennan Pothetes and Chairman Francis Pedraza that just raised a $24M Series A. And here's the paradox his company is named for: AI and data are everywhere and nowhere at once. Every conference, every feed, every board meeting is drowning in AI talk. Meanwhile, actual executives will tell you they don't trust their own reports, their pilots died on the vine, and they're on their third AI strategy deck. Ilan built Paradox Machines to close that gap for the companies that can't afford a Palantir, a Snowflake stack, and a full data team, especially portfolio companies that need to be exit-ready in three to five years. But the deeper conversation is about the thing nobody puts in their LinkedIn victory lap: sustainability. Ilan is running a small senior team, reportedly serving half a dozen customers just months in, and he's blunt about the cost. Always-on agent swarms are mostly a novelty. Velocity without a moving product roadmap is theater. And your customers, without exception, want you, not your bot. Zero percent of them have ever asked for the agent to run the meeting. Ryan opens up about his own fix: killing calls on Mondays, Wednesdays, and Fridays, stacking deep work, and trading short-term speed for the ability to close the laptop at 6 PM with enough energy left to cook dinner and put on a record. Ilan counters with quarterly self-audits, treating your own workflow like a system you run analytics on. If you're excited about AI but exhausted by the hustle culture version of it, this episode is your permission slip to build something durable instead. https://www.paradoxmachines.com Ilan Man on LinkedIn: https://www.linkedin.com/in/ilanman https://www.linkedin.com/in/estesryan/ #1 AI Founder Newsletter!https://aiforfounders.co Build your audience for life!https://inboxalchemy.co/ If 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/8RDrnXDd Use 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 AI Agents Are Burning You Out: The Sustainable AI Workflows Founders Actually Need
  5. Jul 20

    AI Agents Just Unlocked $7 Trillion in Invoices Nobody Could Finance

    Trust is the most expensive thing in business, and nobody bills you for it until it is gone. Four nine-figure receivables frauds hit the industry in a single year, and every one of them traces back to the same quiet failure: a lender who built a relationship, got comfortable, and stopped checking. Anthony Eden watched that pattern from inside one of the world's most secretive private equity shops, and he decided the fix was not more clerks making phone calls. It was agents making thousands of them. Anthony is the founder of Iridium (iridiumcredit.com), a company that automates the entire lifecycle of invoice finance for lenders: verification, fraud detection, collections, and cash reconciliation. In most of the world, borrowing against invoices is the default way businesses get short-term cash. In Latin America and parts of Europe it runs around 15% of GDP by Anthony's telling, with Belgium as high as 22%. In the US it is roughly 2%, because without government e-invoicing registries, verifying that an invoice is real means emails, phone calls, and logging into accounts payable portals by hand, at a cost Anthony puts at about $22 per invoice. Iridium replaces that grind with email agents, voice agents, and browser agents, so lenders can profitably finance invoices they used to turn away, and the 58% of SMBs who Anthony says get denied the credit they seek finally get a shot. The origin story is just as good as the product. Anthony started as an intern at Cerberus Capital Management, came back to build credit underwriting automation alongside PhD scientists who wrote his college textbooks, watched it print millions for European banks, and realized someone was going to compress financial services into a hyper-efficient market. He decided that someone would be him. He joined an accelerator a month late, teamed up with co-founder Preesha Gehlot, an ex-Bloomberg and Microsoft machine learning engineer who published two AI papers before graduating from Imperial College London, and closed their first customer in a two-week sales cycle. Today the four-person, fully Claude Code pilled team is packing for New York with a contracted book of revenue and a pipeline Anthony describes as massive. What does Iridium do? Iridium (iridiumcredit.com) automates invoice verification, fraud detection, collections, and cash reconciliation for invoice finance lenders using email, voice, and browser AI agents. How does invoice factoring make money? A lender advances roughly 80 to 95% of an invoice, collects the full amount when it is paid, returns the remainder minus a 1 to 3% fee, which annualizes to a 10 to 15% APR product per Anthony Eden. Why is invoice finance small in the US? The US lacks government e-invoicing registries, so verifying invoices is manual and costs lenders about $22 per invoice, per Anthony Eden, pricing out small invoices entirely. How do AI agents detect invoice fraud? Document forensics, IP and location checks on emails, domain checks, portal verification via browser agents, and network-level detection of double-pledged invoices. Who founded Iridium? Anthony Eden and Preesha Gehlot, both Imperial College London alumni, after Anthony built credit underwriting automation inside private equity. https://www.iridiumcredit.com/ https://www.linkedin.com/in/anthony-eden/ https://www.linkedin.com/in/estesryan/ #1 AI Founder Newsletter!https://aiforfounders.co Build your audience for life!https://inboxalchemy.co/ If 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/8RDrnXDd Use 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/

    AI Agents Just Unlocked $7 Trillion in Invoices Nobody Could Finance
  6. Jul 17

    How This AI Hospitality Agent Is Transforming Guest Communication Across 60 Hotels

    It is midnight in a mountain town. You have been driving for nine hours, your kids are asleep in the back, and the hotel lobby is empty except for a bell on the counter and a sign that says "ring for service." Nobody comes. Now imagine instead a human-sized hologram greets you by name, checks you in, and books your fishing guide for the morning. That is not science fiction. That is already running in dozens of hotels across Europe. Ryan sits down with Filip Linek, founder of FLAE Robotics and creator of BE-A, the holographic AI receptionist built by a hotelier who could not hire humans fast enough. Filip's story is the founder arc in miniature: he built packaging distributor OSKAR PLAST from 1997, sold it to global giant Bunzl in 2014, tried retirement, lasted three months on the golf course, then bought two hotels in the Czech Republic and discovered the industry's dirty secret. Hospitality is drowning. Hoteliers tell him the same thing every month: we hire anyone who shows up to the interview, if they show up at all. So he built the receptionist he could not find. BE-A is not a chatbot bolted onto a website. She handles the full guest journey across email, WhatsApp, phone, and soon a human-sized holobox at the front desk, with a physical humanoid targeted for the end of 2027. She matches OTA prices within set limits, escalates to humans on demand, recognizes groups of guests and tracks each person, and gives hotels something they have never had: a full transcript of every guest conversation. Filip says the company is live in roughly 60 hotels, sitting at about $400K ARR, converting one in three demos, and preparing a Series A to enter the US market through, of all places, Denver. The deeper thread of this conversation is a contrarian bet: that guests will start to prefer AI as the first touch, because speed, accuracy, and availability beat a tired human at midnight. Filip is refreshingly honest about the limits too. He is a self-described skeptic on general-purpose humanoids, walking robots, and robot housekeepers. The front desk, he argues, is the one perfect use case: all communication, no locomotion. https://flaerobotics.ai https://be-a.ai https://www.linkedin.com/in/filip-linek-a70292318/ https://www.linkedin.com/in/estesryan/⁠⁠ _ #1 AI Founder Newsletter! - ⁠https://aiforfounders.co⁠⁠ Build your audience for life! - https://inboxalchemy.co/ If 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/8RDrnXDd⁠ Use 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/

    How This AI Hospitality Agent Is Transforming Guest Communication Across 60 Hotels
  7. Jul 17

    The $50 Million Exit Trap Nobody Warns Founders About

    The happiest day of your founder life might be the emptiest. The wire hits, the champagne pops, and 90 days later the divorce papers get filed, the workouts stop, and you are staring at an earn-out agreement wondering why you hate the company that just bought yours. The official launch announcement:https://www.prnewswire.com/news-releases/rich--sassy-wealth-strategies-launches-qiretreat-a-china-expedition-for-leaders-and-changemakers-302817416.html The invitation page:https://richandsassy.com/china Cece Leung has watched it happen for more than 20 years. Born and raised in Hong Kong, she landed in Canada at 16 with one suitcase, taught piano and tutored math to get by, and clawed her way through the Big Four and Wall Street into a corner office, multiple CFO titles, and a string of IPOs. She spent nine months in dusty Chinese storage rooms hand-auditing paper contracts before AI could do it in seconds. She hit every number, then woke up rich and empty. So she burned the playbook. In January 2026 she launched Rich & Sassy Wealth Strategies, a New York advisory firm that pairs institutional-grade IPO and exit strategy with something almost no banker will touch: philosophical counseling. Alongside advisor Dr. David Kaye and her brother Kevin Leung, who leads the firm's invitation-only QiRetreat expeditions in Guangdong, China, Cece helps founders answer the question that no term sheet covers: who are you when the hustle finally stops? In this conversation, Ryan and Cece get into why deals take 18 to 36 brutal months and leave everyone too burned out to plan what comes next, why smart founders sign terrible earn-outs, why the shortest post-exit break Ryan has ever heard of was three days and the longest was nine months, and why Cece thinks movement, nature, and a Sunday morning coffee overlooking Manhattan beat any dashboard. https://richandsassy.com/ https://www.linkedin.com/in/cscfo/ ⁠⁠https://www.linkedin.com/in/estesryan/⁠⁠ _ #1 AI Founder Newsletter! - ⁠https://aiforfounders.co⁠⁠ Build your audience for life! - https://inboxalchemy.co/ If 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/8RDrnXDd⁠ Use 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/

    The $50 Million Exit Trap Nobody Warns Founders About
  8. Jul 15

    He Predicted the Lithium Boom in 2016. Everyone Called Him Crazy.

    When China cut off rare earth exports, the American car industry came within two weeks of shutting down. Two weeks. That is not a hypothetical, that is the world we live in now, and Jeremy Wrathall saw it coming a decade ago. In 2016, Jeremy was a mining engineer and investment banker walking to work in London when a friend's comment about lithium in Cornish mine water sent him down a rabbit hole that would change his life. Everyone thought he was insane. Lithium? In Cornwall? The county famous for pasties and Poldark? But Jeremy knew two things most people didn't: the energy transition was going to need staggering amounts of critical minerals, and the West had voluntarily handed its supply chains to China because digging in the dirt wasn't glamorous enough for Wall Street. Ten years later, Cornish Lithium employs 100 people, has raised institutional capital from the National Wealth Fund, TechMet, and EMG, and holds the patents on one of the only lithium extraction technologies on Earth that China does not own and cannot switch off. The company is reviving a brownfield china clay pit at Trelavour, mining land that has been worked for 275 years, going deeper into rock nobody else bothered to look at. Cornwall itself has been mining for 4,000 years. The Bronze Age started there. Now the AI age might too. This conversation covers the two-week near-collapse of the US auto industry, why President Trump is invoking the Defense Production Act for minerals, how a $200 drone made the $2 million tank obsolete, why Jeremy handed the CEO seat to oil and gas veteran Jamie Airnes while keeping his hands on the wheel as Executive Chairman, and the outdoor clothing store failure that taught him to stick to his knitting. Plus: why he thinks Elon gets his billion robots, and why every single one of them needs what comes out of the ground in Cornwall. https://cornishlithium.com/ https://www.linkedin.com/in/jeremy-wrathall-ba7891b/ ⁠⁠https://www.linkedin.com/in/estesryan/⁠⁠ _ #1 AI Founder Newsletter! - ⁠https://aiforfounders.co⁠⁠ Build your audience for life! - https://inboxalchemy.co/ If 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/8RDrnXDd⁠ Use 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/

    He Predicted the Lithium Boom in 2016. Everyone Called Him Crazy.
5
out of 5
49 Ratings

About

AI for Founders is where 47,000+ founders learn to build and scale with AI. Hosted by Ryan Estes, a Denver investor, creator, and founder, the show breaks down real strategies from top operators and AI visionaries. AI-ready data, zero-dependency workflows, founder-led distribution, and the tools driving revenue for today’s fastest-growing companies. If you’re a technical or non-technical founder who wants to work smarter, scale faster, and stay competitive, this podcast is your weekly unfair advantage.

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