The magentIQ Show Ep. 6 | Real AI Use Cases, a Six Figure Win, and What Doing AI Right Actually Looks Like

The magentIQ Show Ep. 14 | Why Are the Biggest AI Adopters Hiring More People?, a Return to the Fundamentals, and the AI Labs Quietly Becoming Consultants

Ian Barkin and David Brain sweat through matching heatwaves and land on what David calls a return to sanity: the fundamentals do not change just because there is a shiny new tool. You still have to know what you are doing, how, and why. Along the way, a genuinely puzzling finding that the heaviest AI adopters are growing their headcount, not shrinking it, the big AI labs quietly admitting their tools are neither fast nor easy, and why owning what makes your business different matters more than ever.  (0:31) Founders journal: matching heatwaves, and inflating pool floats mid call as an extreme sport (4:22) The need for speed illusion: why starting every marathon like a sprint means you never leave the line (6:30) Assessment versus accelerator: how the same work sold far better under a faster sounding name (10:41) This is not a commodity: why over 90 percent of pilots still stall, and what actually deserves the focus (12:05) AI is everywhere, the agentic organization is not: the glut of ungoverned initiatives and innovation debt (13:49) The AI labs are becoming consultants: why the toolmakers are admitting deep expertise and change management matter (19:55) Good news for services: why a cooling AI market could favour boutiques and specialists over the old offshore model (24:45) The paperless office that used more paper: the irony setting up the headline finding (26:24) Why are the biggest AI adopters hiring more people: a look at 21,000 firms, and the theories behind the growth (30:54) Shrinking populations and gradual change: why moderate, human paced transformation may be exactly what we need (32:36) The first agentic ransomware attack: why security and control only get more important from here (35:16) Owning what makes you different: sovereignty, and why feeding your edge into a shared model commoditizes you (41:53) The 20 page memo problem: AI slop, and getting another agent to condense what the first one bloated (43:40) People for the win: why an empathetic assistant beat an agent when it mattered most Listen now, and tell us whether AI is growing your team or streamlining it. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 [https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951] Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL [https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL] iHeartRadio: https://iheart.com/podcast/333292440 [https://iheart.com/podcast/333292440] Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com [info@bemagentiq.com].

The magentIQ Show Ep. 13 | One Year of magentIQ, How to Grow the Talent AI Cannot Replace, and Why People Still Make a Company

Fifteen years of building companies together, one year into magentIQ, and Ian Barkin and David Brain use the anniversary to talk about what has not changed: people are what make it work. They get into why a company of only agents would be a pretty joyless place, how you actually train someone into an expert when the expertise is weeks old, and why the winning move is still asking not just whether AI can do something, but whether it should. Warm, reflective, and full of hard won practical wisdom. (0:35) Founders journal: Nashville, live music, and the ongoing battle not to impulse buy cowboy boots (1:02) One year of magentIQ: the anniversary all hands, and why a company of only agents would be a sad one (11:59) Fifteen years back: the spreadsheet by the pool that started it all, and doing it again (12:40) Inside the managed service provider world: the teams keeping small business running and fielding the AI hype (16:55) Fable 5 is still down: why an outage is pushing people toward open source and portability (17:36) The single vendor worry: clients asking how to avoid getting locked into one tool (20:03) Can AI do this versus should AI do this: why the right tool sometimes predates AI entirely (20:41) When an integration problem is not an AI problem: structured, cheaper, more governable options (26:29) Proudly unsexy: why boring, dependable solutions quietly win (28:17) You cannot build a house in an hour: the speed obsession and the value of constraints (34:52) The new bottleneck: as code gets cheap to produce, human review and QA become the constraint (38:59) Growing the talent AI cannot replace: building your own curriculum when the expertise is brand new (44:37) Rethinking the forward deployed engineer: why process and re-engineering matter as much as code (47:24) The expert paradox: everyone wants years of experience in tools that launched last week Listen now, and tell us how your team is growing the people behind the technology. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 [https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951] Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL [https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL] iHeartRadio: https://iheart.com/podcast/333292440 [https://iheart.com/podcast/333292440] Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com [info@bemagentiq.com].

The magentIQ Show Ep. 12 | The Case for a Council of Agents, the Companies Rehiring the Experts They Replaced, and Why Human Judgment Still Wins

Ian Barkin and David Brain get into what happens when you trust a single AI model too much, and what to do instead. A client's agent confidently got a healthcare policy answer wrong, which sets up David's most practical idea yet: a council of agents, several different models cross checking each other so no one blind spot slips through. From there, the quiet trend of organizations rehiring the very experts they let go, and why human judgment keeps proving itself the differentiator. Positive, practical, and a little bit cheeky. (1:13) What's in this episode: AI employees, the council of agents, symbiotes, and a second grade confession (2:25) Founders journal: Nashville, live music, and the managed service providers fielding "where did you host that vibe coded thing?" (5:38) Fable 5 is back: a model released, pulled, and now re-approved, and what that says about depending on any single model (7:55) Tiered access to frontier models: who gets the most capable tools first, and what it means for smaller players (12:01) AI sovereignty and the kill switch: why where a model is governed is now part of your strategy (22:48) AI employees and the accountability gap: how agents are quietly disrupting who owns the work (24:10) Confident and wrong: a major report built on dozens of fabricated sources, and the guy in the pub problem (25:20) Ian's second grade dictionary confession, and why made up facts are so convincing (29:52) The story that started it: a single agent hallucinates on a healthcare policy question (30:35) The council of agents: borrowing from crowdsourcing to have multiple models check each other for accuracy (32:40) Why the council has to be multi vendor, and how it also protects you from a single model outage (37:48) The great rehiring: carmakers, banks, and consultancies bringing back the experts they replaced when AI fell short (41:21) The mediocrity trap: why hiring "good enough plus AI" costs you the experts you will need in five to ten years (45:45) From robots to agents to symbiotes: the new label for an old truth, humans and AI working better together Listen now, and tell us where a second opinion would have saved the day. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 [https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951] Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL [https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL] iHeartRadio: https://iheart.com/podcast/333292440 [https://iheart.com/podcast/333292440] Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com [info@bemagentiq.com].

The magentIQ Show Ep. 11 | Why Great Ideas Matter More Than Token Maxing, and the Risk of Betting Your Business on One AI Model

Ian Barkin and David Brain are back, and getting comfortable. This one ranges from World Cup soccer to the real bottleneck in AI, which turns out not to be tokens or building, but knowing what to build. They dig into why great ideas beat raw consumption, why last year's models are quietly the smart buy, and what a sudden model shutdown teaches every operator about not putting all their eggs in one basket. Plus a genuinely new idea about keeping the business running when the model goes dark, involving, of all things, senior centers. (1:06) Founders journal: World Cup soccer, manufactured hydration breaks, and Europeans touring America (8:39) Apple's WWDC, the AI Siri that is still not here, and the chip shortage driving up prices (11:10) Token maxing and return on token: why using more compute just means more to wade through (15:00) Why great ideas matter more than token maxing: the real constraint is imagination, not the ability to build (18:00) The psychology of innovation: how to choose a few ideas and retire the rest without losing your best people (22:15) Why older models are the smart buy: getting it right with last year's Gemini as prices keep dropping (24:51) Commoditization, margins, and where AI pricing is heading (30:00) Fable 5 gets shut off in 72 hours: a frontier model here one moment, gone the next (37:17) The geopolitics of AI: models built on humanity's collective knowledge, and the push toward open source and local (41:12) The ratchet effect and agentic business continuity: what happens when the model your operation runs on goes dark (44:32) The senior center solution: the analog escrow of people who still remember the old way (47:52) Staying model agnostic: why you prototype in the latest and greatest but build so you can switch (50:46) The build update: the imagination platform, the holodeck, and why your co-pilot is now a sheep Listen now, and tell us where your own imagination gap is biggest. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 [https://podcasts.apple.com/us/podcast/th%EE%80%80e-magentiq-show/id1896570951] Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL [https://open.spotify.com/show/033f2oKxnF%EE%80%80r5fmcpdSHjSL] iHeartRadio: https://iheart.com/podcast/333292440 [https://iheart.com/podcast/333292440] Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com [info@bemagentiq.com].

The magentIQ Show Ep. 10 | The Biggest AI Model Is Rarely the Right One, AI Budgets Are Not Adding Up, and Speed Is Not a Strategy

Ian Barkin and David Brain go behind the scenes on the agentic platform they have been building, and dig into why the biggest model is rarely the right one, why this year's AI savings are quietly funding next year's budget, and why going faster will not fix a process that was never designed for AI in the first place. A practical, pattern matching conversation from two people who have lived through this cycle before. (0:00) Why there is nothing safe and low hanging in AI transformation, and how big, bold, brash expectations slow you down (0:55) Founders journal: black t-shirts, decision fatigue, GLP-1s, and the great tailor shortage (10:54) The Bain study: AI is not delivering the expected impact, and next year's budget is built on savings that never showed up (16:08) The underpants gnomes problem: use AI, question mark, value is not a plan (21:30) Capturing the thinking, not just the steps: David on building an agentic platform rooted in process re-engineering (28:28) The 10x myth: why companies keep trying to 10x a broken process instead of redesigning it (30:49) Why the forward deployed engineer puts too much on one set of shoulders (38:45) Orchestrating the right model: vendor lock-in, and why you don't need a McLaren to drive down the street (40:31) Small and custom language models: lower cost, lower energy, and good enough for most real work (43:49) Chinese and open source models, the nine month gap, and the regulation that may be coming (48:54) Recursive, self improving models and why a human master architect still has to stay in the loop (53:07) The hype versus reality gap, told through the Siri that won't tell you if it's going to rain Listen now, and send us your questions. We work through this stuff too. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 [https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951] Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL [https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL] iHeartRadio: https://iheart.com/podcast/333292440 [https://iheart.com/podcast/333292440] Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com [info@bemagentiq.com].