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EZOps - Agentic-AI Deep Dive
43:12|Thiago Maior scaled from freelance developer to CEO of a 70-person infrastructure company with zero external funding. He lived the DevOps revolution. Now he's watching AI compress that same transformation into months.DevOps started in 2009. Thiago joined in 2014, five years late, and still built a thriving business. Companies that ignored DevOps for seven years caught up eventually. AI is different. It doesn't just change the technology; it changes the DNA of the organization. Hiring, pricing, project estimation, quality assurance, business models; everything shifts at once. Seven years of delay with AI could be fatal.In this episode, we explore:- Why project estimates are collapsing from 200 hours to 20 and what it means for every company selling engineering time- How organizations are adopting AI bottom-up through developers while leadership has no measurement framework- The layoff trap: companies cutting senior engineers, then discovering nobody can govern what AI produces- Why Thiago's team spent a full year taming AI's unpredictability through multi-agent architecture- The shift from vibe coding to engineering discipline as the last mile of AI transformationIf you're a CTO or technology leader navigating AI adoption, this conversation maps the terrain you're walking right now.🎙️ ABOUT THIAGO MAIERThiago is the CEO of EZ Ops, a US-based infrastructure and software development company he built from the ground up over 10 years. Starting as a freelance developer in Brazil, Thiago scaled to a team of nearly 70 engineers, entirely self-funded. His team now develops AI-powered agents for infrastructure and software delivery, and his experience across both the DevOps and AI revolutions gives him a rare dual perspective on what technology leaders face today.🎙️ ABOUT MICHELE BRISSONIMichele Brissoni brings 45+ years on the tatami (35+ years teaching, 6 black belts), 25+ years of TDD practice, and 25+ years developing the Software Craftsmanship Dojo® methodology. Through The Forge of Unicorns, he has conducted 130+ interviews and analyzed 52 unicorns and 100+ portfolios to understand what separates organizations that thrive with AI from those that stumble. Based in Slovakia, working globally, and co-creator with Alessandro Di Gioia of nwave.ai (🔗 https://nwave.ai), one of the most opinionated agentic-ai coding platforms, guested in the first episode of Dave Farley - AI Briefing as a groundbreaking in the enterprise software factory landscape.---🔗 LINKS & RESOURCES📊 Free AI Readiness Assessment: https://ai-readiness.dev/📛 nWave: https://nwave.ai/🎧 Listen:- Spotify: https://go.brix.consulting/Spotify- Apple Podcasts: https://go.brix.consulting/ApplePodcast---📱 Connect:- Michele on LinkedIn: https://www.linkedin.com/in/michelebrissoni/- Thiago on LinkedIn: https://www.linkedin.com/in/thiago-maior/- Substack: https://theforgeofunicorns.substack.com/- LinkedIn newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/---⏱️ TIMESTAMPS00:00 - Introduction00:39 - From freelancer in Brazil to CEO of a 70-person company04:39 - Why self-funded growth builds healthier organizations07:13 - The AI wake-up call: what changed in the last 12 months11:08 - When 200 hours becomes 20: the business model crisis17:28 - Are organizations ready? Bottom-up adoption vs top-down readiness22:08 - The layoff trap: firing the people who govern AI output28:00 - Vibe coding vs engineering discipline: the line between speed and risk34:04 - Taming AI's unpredictability: building Ace with multi-agent architecture39:49 - AI needs humans; but superhumans who know the craft41:44 - Deterministic execution and the future of spec-driven development46:46 - Final thoughts: why this is the most exciting moment in tech#AIReadiness #TechLeadership #CTO #DevOps #AITransformation #SoftwareCraftsmanship#nwave #nwave.ai #softwarefactory #agenticcoding #AIcoding #vibecoding #specdriven
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82. 🎙️EP82 - The Last Mile: Why AI Adoption Isn't Enough
13:04||Season 3, Ep. 82AI Readiness Gap: Why 70-90% AI adoption with 30-50% readiness is costing billions. The Last Mile framework for CTOs to complete AI coding tool investments.The data is clear: companies are pouring millions into GitHub Copilot, Cursor, Claude Code, Windsurf. Adoption rates hit 70-90%. But organizational readiness sits at 30-50%. That 40-point gap is where ROI disappears and technical debt compounds at machine speed.GitClear 2024 reveals the damage:- 39.9% drop in refactored code- 17.1% YoY increase in code duplication- Enterprise app lifespan collapsingThe human cost:- 77% developers disengaged- 40% experiencing burnout- Sick leave rising across the industryThis isn't CTO failure. This is the AI readiness gap—a structural challenge at hypergrowth speed that no single leader can solve alone.After 3 years and 130+ interviews with people who built 52 unicorns, I'm making a strategic shift. Pressing pause on the weekly format to focus completely on the last mile: helping organizations close their AI readiness gap.In this episode:- Why AI adoption without readiness creates technical debt at machine speed- The "Last Mile" framework for completing AI investments- The 2026 vision: real companies facing real challenges + elite crafters from the trenches- How the free AI Readiness Assessment reveals your gaps- The win-win-win model: you close the gap, become the case study, the industry learnsThis is not an ending. This is an evolution.---🎙️ ABOUT MICHELE (MIKE) BRISSONIHost of The Forge of Unicorns and founder of the Software Craftsmanship Dojo®. 35+ years on the tatami, 25+ years practicing TDD, 20+ years building behavioral engineering methodologies for elite software teams. F1-inspired precision. Zero tolerance for mediocrity.130+ interviews. 52 unicorns analyzed. One pattern: AI adoption without organizational readiness creates chaos. The mission now: help CTOs complete their AI investments through systematic behavioral engineering.---🔗 LINKS & RESOURCES🎯 FREE AI Readiness Assessment (30 min):👉 https://brix.consulting/free-ai-readiness-assessment/🥋 Software Craftsmanship Dojo®:👉 https://swcraftsmanshipdojo.com/🎧 Listen on your platform:- Spotify: https://go.brix.consulting/Spotify- Apple Podcasts: https://go.brix.consulting/ApplePodcast- Acast: https://shows.acast.com/the-forge-of-unicorns📝 Deep Dive Article and newsletter:- Substack: https://theforgeofunicorns.substack.com/- LinkedIn: https://go.brix.consulting/ForgeOfUnicorns
81. 🎙️ EP81 - The AI Readiness Gap
41:36||Season 3, Ep. 8197% of enterprise developers use AI coding tools. Trust crashed from 40% to 29% in one year. METR found experienced developers 19% slower while believing they were 20% faster. The 39-point perception gap exposes why your AI investment isn't delivering—and the 4-dimension framework that fixes it. 🎙️ EP81 - The AI Readiness Assessment | The Last Mile to 4X Results with AI Coding ToolsYou made the right investment. GitHub Copilot, Cursor, Claude Code—the tools work. But without readiness across 4 dimensions, AI amplifies dysfunction instead of excellence. This episode reveals the diagnostic framework and the pathway to turn your investment into exponential results.---In this episode, Michele (Mike) Brissoni exposes the AI-readiness gap costing CTOs millions: the delta between how fast organizations adopt AI and how prepared teams are to supervise it, validate it, and integrate it. He introduces the AI Readiness Assessment framework measuring organizational capacity across four critical dimensions, reveals why spec-driven development unlocks AI for experienced developers, and demonstrates how behavioral engineering—not more tools—closes the last AI-mile.💡 KEY INSIGHTS:- 97% of enterprise developers have used AI coding tools- Trust in AI accuracy dropped from 40% to 29% in just one year- 39-point perception gap: teams 19% slower while believing 20% faster- Experienced developers find traditional AI coding tools distracting without proper workflows- Spec-driven development expands AI's reach from 30% to full development lifecycle- AI readiness gap = delta between adoption speed and organizational capacity- The bottleneck is behavior, not infrastructure- Four dimensions determine AI success: focus, technical practices, product health, customer feedback- Miss one dimension and you stall, miss two and you suffer, miss four and you fail- Companies with strong fundamentals see 4X better AI results than those without- Elite XP teams correct mistakes in one week; canonical enterprises take a quarter- AI becomes an expensive accelerator for your failure without readiness🗣️ KEY QUOTES:"They were 19% slower while believing they were 20% faster.""AI amplifies what you have in the company.""Driving a Ferrari Enzo at 200 mph with 45% brakes—that's your AI adoption gap.""If developers don't have the cognitive capacity to supervise AI, you're dead on arrival.""Spec-driven development turns AI into a real co-pilot.""Miss one dimension and you stall. Miss two and you suffer. Miss four and you fail.""Stop embracing AI blindly. Start being aware."---🎯 READY TO CLOSE THE GAP?Get your FREE AI-Readiness Assessment for your software team.One number showing where you stand across 4 dimensions. Zero cost.👉 https://brix.consulting/free-ai-readiness-assessment/
80. 🎙️ EP80 - The AI Coding Illusion: Why Speed Without Fundamentals Is a Death Spiral
55:26||Season 3, Ep. 80In this episode, Michele (Mike) Brissoni explores the challenges and realities of software development in the age of AI. He discusses the historical context of coding productivity, the impact of Agile and DevOps methodologies, and the effects of remote work on developer efficiency. Brissoni emphasizes the importance of fundamentals over tools, highlighting the silent killers of productivity such as multitasking and environmental noise. He uses the automotive industry as a case study to illustrate the consequences of neglecting software fundamentals and calls for a reevaluation of how organizations approach AI adoption and developer training.💡 KEY INSIGHTS:- AI is revolutionizing software development but poses significant challenges- Developers spend minimal time actually coding, often less than 10%- Agile methodology, while promoting collaboration, can hinder productivity- Remote work has both benefits and drawbacks for developer focus- AI tools can exacerbate existing issues in coding practices- Mind wandering and multitasking significantly reduce developer productivity- Automotive industry exemplifies dangers of prioritizing speed over fundamentals- Strong organizational fundamentals lead to 4x better performance with AI- Companies must assess AI readiness and developer fundamentals- A shift from tools to foundational practices is essential for success🗣️ KEY QUOTES:"Coding is NOT the bottleneck. Indeed devs spend 10 to max 39% of their time actually coding!""We have destroyed them even before start coding.""We need AI free days to prevent skill atrophy.""Companies with strong fundamentals achieve almost four times the performance of companies without them when adopting AI."---🎯 READY TO FACE THE TRUTH?Get your FREE AI-Readiness Quick Scan for software teams.Clear data on where your team stands. Zero cost.👉 https://brix.consulting/free-ai-readiness-assessment/⚠️ Only 3 spots remaining for Q4 2025---📝 DEEP DIVE ARTICLE:Full written analysis drops Thursday on Substack & LinkedInSubscribe: https://theforgeofunicorns.substack.com/---ABOUT THE FORGE OF UNICORNS:Weekly insights for C-level executives, PE/VC leaders, and board members on building elite software organizations. 80+ episodes analyzing what really works in the AI era—backed by data from 130 people who built 52 unicorns.Host: Michele (Mike) Brissoni Background: F1-inspired behavioral engineering for software teams. 15+ years building the Software Craftsmanship Dojo. Engineer by training (robotics, telecom, software). Zero tolerance for mediocrity.Mission: Elevate software development to F1-level mastery through systematic behavioral engineering.🔔 Subscribe for weekly episodes 📧 Join the newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/
79. 🎙️ EP79 - How to build the 1% Elite Developers!
01:07:46||Season 3, Ep. 79Your $10M AI investment produces garbage code because you hired mediocre, trained badly, and blamed developers when production burned. Not their fault. Yours. This episode explores how leadership and organizational behavior shape software engineering teams—and why understanding the dynamics between teamwork, coding discipline, and behavioral transformation determines whether your software development succeeds or fails.I reveal the Software Craftsmanship Dojo, the behavioral transformation system that turns broken teams into 1% Elite performers—using the same neuroscience that transforms terrified kids into confident martial artists.🥋 THE 6 PARALLELS:→ Repetition creates instinct (not compliance)→ Fundamentals before frameworks (or 3 AM calls never stop)→ Sparring = pair programming (safe failure builds mastery)→ Belt system = KBI progression (measurable transformation)→ Sensei = cultural rewiring (mirror neurons & role model)→ Respect → Ownership (discipline builds elite mindset)💡 KEY INSIGHTS:- Why Key Behavioral Indicators predict team failure before production burns- The hostile environment paradox: build the 1% without executive buy-in- How grassroots transformation works when leadership won't act- Why AWS certifications and Agile workshops fail (training ≠ transformation)- The neuroscience of identity shift through deliberate practice🎯 WHO THIS IS FOR:- CTOs tired of being told it's a "people problem"- Engineering leaders drowning in production incidents- VPs watching AI investments produce zero ROI- Anyone building software teams in hostile environments---🎯 READY TO FACE THE TRUTH?Get your FREE AI-Readiness Quick Scan for software teams.Clear data on where your team stands. Zero cost.👉 https://brix.consulting/free-ai-readiness-assessment/⚠️ Only 3 spots remaining for Q4 2025---📝 DEEP DIVE ARTICLE:Full written analysis drops Thursday on Substack & LinkedInSubscribe: https://theforgeofunicorns.substack.com/---ABOUT THE FORGE OF UNICORNS:Weekly insights for C-level executives, PE/VC leaders, and board members on building elite software organizations. 77+ episodes analyzing what really works in the AI era—backed by data from 130 people who built 52 unicorns.Host: Michele (Mike) Brissoni Background: F1-inspired behavioral engineering for software teams. 15+ years building the Software Craftsmanship Dojo. Engineer by training (robotics, telecom, software). Zero tolerance for mediocrity.Mission: Elevate software development to F1-level mastery through systematic behavioral engineering.🔔 Subscribe for weekly episodes 📧 Join the newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/
78. 🎙️ EP78 - The 1% Problem | Why AI Can't Save Your Company
51:57||Season 3, Ep. 78Three years after ChatGPT's release, $2.5 trillion wasted in 2024 alone. Forecast for 2027? $4 trillion. Meanwhile, 38% burnout rate, 77% disengaged workforce, and 90% failure rate on digital transformations.After 77 episodes analyzing 130 people who built 52 unicorns, one pattern emerged: The bottleneck isn't AI, Agile, or capital. It's the 1% problem—the extreme scarcity of people capable of executing at elite level.This episode is different. No guest. Just me and one year of brutal research findings. The patterns nobody wants to hear. The truth about why AI amplifies dysfunction instead of solving it.---🎯 WHO SHOULD LISTEN:CEOs wrestling with failed digital transformationsCTOs scaling teams but losing qualityVCs/PEs analyzing portfolio performanceBoard members demanding ROI from AI investmentsEngineering leaders tired of mediocrityIf you've invested millions in AI tools and seen minimal results, this explains why.---📊 WHAT YOU'LL LEARN:- Why 52 unicorns all pointed to the same bottleneck (and it's not technology)- The 1% paradox: How talent scarcity lowered hiring standards to catastrophic levels- Why IT/software lacks the professional standards that make medicine and engineering reliable- How AI acts as a mirror—amplifying excellence OR weaponizing dysfunction at scale- The three-layer filtering system that separates elite performers from the 99%- Why digital transformation fatigue is structural, not temporary- How generative culture beats process-heavy bureaucracy every single time- The real cost of accepting mediocrity: $2.5T wasted and climbing---🔥 KEY INSIGHTS:"AI doesn't fail because of technology. It fails because of who uses it.""You can't buy the 1%. You have to build them.""Small elite teams always beat large bloated organizations.""77% of employees are disengaged.""38% burnout rate is alarming." ---🫵 READY TO FACE THE TRUTH?Get your FREE AI-Readiness Quick Scan for software teams.Clear data on where your team stands. Zero cost.👉 https://brix.consulting/free-ai-readiness-assessment/⚠️ Only 3 spots remaining for Q4 2025---📝 DEEP DIVE ARTICLE:Full written analysis drops Thursday on Substack & LinkedInSubscribe: https://theforgeofunicorns.substack.com/---ABOUT THE FORGE OF UNICORNS:Weekly insights for C-level executives, PE/VC leaders, and board members on building elite software organizations. 77+ episodes analyzing what really works in the AI era—backed by data from 130 people who built 52 unicorns.Host: Michele (Mike) Brissoni Background: F1-inspired behavioral engineering for software teams. 15+ years building the Software Craftsmanship Dojo. Engineer by training (robotics, telecom, software). Zero tolerance for mediocrity.Mission: Elevate software development to F1-level mastery through systematic behavioral engineering.🔔 Subscribe for weekly episodes 📧 Join the newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/
77. 🎙️EP77 - The $34 Billion SECRET VCs Don't Want You To Know
58:00||Season 3, Ep. 77Licensing beats equity 10x. Fabio Lettieri (Founder, Artivium | Partner, TLN) reveals how €2M turns into €100M in 24 months through royalty-based partnerships instead of ownership dilution, why Europe's 10x better engineers stay underfunded, and the $34B empire that makes nothing.----🎙️ Episode Highlights:After 27 episodes with 130+ guests who backed 52 unicorns, one pattern emerged: the capital allocation system is fundamentally backwards. Europe has world-class engineering talent but systematically starves it with slow, risk-averse investment. Meanwhile, accelerators spread €20K across 50 startups (nothing happens), and VCs burn €10-20M on equity models when €1-2M licensing achieves the same outcome.Fabio's contrarian model:- 20-50x ROI multiples in under 3 years- €9K patent protection worldwide for 2.5 years- ABG case study: $34B annual sales without manufacturing one product- 24-month discipline: market or die💡 Key Insights:"That million euro becomes nothing when you give €20,000 to everybody. It will be more productive to give $1 million to one company." European talent is 10x better than US engineers, but the capital structure prevents scale. The alternative exists—most investors just pretend it doesn't.👤 Guest: Fabio LettieriFounder, Artivium Inc. | Founding Partner, TLN - The Licensing Network25 years IP licensing experience | $500M+ in royalty deals | Former Licensing Director, Iconix Brand Group----📖 Deep Dive Article:Why licensing beats equity 10x, the ABG model that makes $34B without products, and why Europe's investment mindset is the real bottleneck—not talent, not tech.🪧 Subscribe to the Forge on Substack to stay up to date: 🔗 https://theforgeofunicorns.substack.com/---🔧 FREE AI-Readiness Assessment (5 spots, Q4 2025):Clear data. Actionable insights. Zero cost.👉 Contact: https://brix.consulting/free-ai-readiness-assessment/----⏱️ Timestamps:00:00 TL;TR01:00 Introduction to IP and Licensing Business Models05:46 The Role of Accelerators and Incubators12:39 Challenges in Software Development and Marketing19:00 The Power of Licensing in Business27:06 Innovative Approaches to Product Development31:50 The Ego of Founders and Company Success32:37 Future Potential Over Past Achievements34:52 Investing in Projects: A Personal Approach36:09 The Unique Venture Studio Model38:29 Licensing vs. Traditional Venture Capital40:21 The Misunderstood AI Market41:25 Social Tensions in AI Adoption43:22 The Speed of Idea to Prototype with AI45:06 The Importance of Personal Connections48:23 Cultural and Investment Mindset Differences50:25 The Power of Licensing and Branding#VentureCapital #Licensing #Startups #Europe #CapitalEfficiency #TechLeadership #Innovation #Patents #IPLicensing