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On the show
From 18 epsHosts
Recent guests
Recent episodes
Stop Outsourcing Risk. (Why open systems break)
Jun 19, 2026
Unknown duration
The Anthropic Reality Check: Claude Fable 5
Jun 14, 2026
Unknown duration
Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective
Jun 9, 2026
49m 43s
The AI Data Center Lie
Jun 6, 2026
35m 30s
The UFO Disclosure: What Everyone Gets Wrong
May 30, 2026
1h 15m 26s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/19/26 | ![]() Stop Outsourcing Risk. (Why open systems break) | Every builder feels the friction. We are transitioning out of a highly predictable system into a technical landscape dominated by hyper-specialized bottlenecks, bloated bureaucracies, and compounding architectural debt. Legacy frameworks are breaking down because current leadership models are fundamentally incompatible with reality, leaving pragmatic engineers trapped in a cycle of algorithmic noise and unverified promises. This episode strips away the hype-beast tech tropes to focus on the raw mechanics of modern execution. We map the historical trajectory of open frameworks—from their decentralized military origins to the current open hardware ecosystem—and reveal why extreme professional sub-contracting has broken complex systems. As software transitions into a commoditized race to the bottom driven by heavily subsidized AI platforms, the true competitive edge belongs to generalists who control their stack vertically. We break down the practical realities of managing your own local-first pipelines, combining customized software with durable, 3D-printed hardware components, and navigating defensive industry standards that operate primarily as gatekeeping institutions. Take back control of your operations. Unplug from the algorithmic feed, drop the screen fatigue, and align your everyday workflow with concrete, independent execution. Chapters: (00:00) Moving the live stream to Thursdays. (00:50) Navigating existential dread and industry burnout. (03:33) The reality of generational leadership shifts. (09:45) Shifting from predictable to intentional planning. (12:05) The extreme overselling of AI capabilities. (17:10) How algorithmic feeds amplify collective anxiety. (21:00) Practical strategies for unplugging from screens. (24:05) Forcing leaders to deliver execution timelines. (26:20) Aging establishments running modern digital infrastructure. (35:10) Historical origins of the open-source movement. (44:00) How outsourcing risk breaks complex systems. (47:35) Returning to a generalist workflow model. (50:05) Marrying custom hardware with local software. (54:10) Outdated regulatory standards throttling modern builders. (58:35) Distinguishing actual progress from arbitrary change. Watch on YouTube: https://www.youtube.com/live/ycmO_QntWM0?si=0tVErvELKesB2hvk Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate | — | ||||||
| 6/14/26 | ![]() The Anthropic Reality Check: Claude Fable 5 | The corporate marketing machine claims Anthropic's new Claude Mythos 5 and Claude Fable 5 architectures change everything. Builders know better. In this episode, we strip away the high-energy tech fluff to pressure-test Claude Fable 5 against actual, complex development workflows, bypassing synthetic benchmarks to examine the raw execution mechanics. Andrew walks through a brutal 20-hour case study using a massive automated agent swarm to refactor a proprietary coding platform interface—burning over 10 million tokens in the process. We break down exactly where Fable outperforms older tiers (specifically graph-based engineering tasks, architectural layout logic, and deep, multi-page technical planning frameworks) and identify exactly where it flatlines into expensive redundancy. We also unpack the highly restrictive safety guardrails currently kneecapping the ecosystem, examining the friction that occurs when a premium model silently offloads your security audits to older foundation tiers without explicit warning. Finally, we map out practical token-budgeting strategies to shield your workflow from compounding API debt, contrasting Anthropic's terminal-centric approach against Google's emerging tool suite. (00:00) We're baaaaaack (00:41) Naming chaos of Anthropic's new models. (01:57) Maximizing value through heavy token usage. (02:22) Breaking down Mythos versus Fable architecture. (03:02) Real-world failures of AI image generators. (07:56) Fable shines in complex conceptual mapping. (10:48) The power of deep planning documents. (15:07) Rebuilding an interface using agent swarms. (25:32) Strategic token budgeting for technical workflows. (31:38) Anthropic vs Google: Interface design philosophies. (40:03) Frustrations with overly aggressive safety guardrails. Watch on YouTube: https://www.youtube.com/live/nK3KfodwiVk?si=X7nNhUMi1k38Mlm8 Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate | — | ||||||
| 6/9/26 | ![]() Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective✨ | operations consultingstartup growth+3 | Christina Twitchell | CLT CollectiveHer Wealth Mindset | — | startup architectureoperational debt+3 | — | 49m 43s | |
| 6/6/26 | The AI Data Center Lie✨ | artificial intelligencedata centers+3 | — | Silicon ValleyAI+1 | — | AI data centersenergy consumption+5 | — | 35m 30s | |
| 5/30/26 | ![]() The UFO Disclosure: What Everyone Gets Wrong✨ | UFO disclosureanomalous phenomena+4 | — | Department of DefenseDepartment of War+1 | — | UFODepartment of Defense+5 | — | 1h 15m 26s | |
| 5/23/26 | ![]() Unpacking AI Hype: Just Replace the word AI with Computer✨ | AI hypetech layoffs+4 | — | OpenAIAnthropic+3 | — | AItech layoffs+5 | — | 31m 12s | |
| 5/16/26 | ![]() We Are All AI: How AI Is DESTROYING Innovation✨ | AI integrationinnovation+5 | — | YouTube | — | AIinnovation+8 | — | 25m 19s | |
| 5/10/26 | ![]() The Real AI Bottleneck Isn’t Your Code✨ | AI bottlenecksorganizational structure+4 | — | The bottleneck was never the code | — | AIorganizational structure+4 | — | 37m 59s | |
| 5/4/26 | ![]() AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social✨ | AI and social mediaattention economy+4 | Devin Gaffney | Graze SocialNortheastern+5 | — | AI-generated contentsocial media+5 | — | 1h 05m 03s | |
| 5/2/26 | ![]() The AI Mindset Mistake: Why 90% Fail (And How To Win)✨ | AI Data GovernanceAI Mindset+4 | Nathan | — | — | AI Data GovernanceAI Mindset+5 | — | 56m 41s | |
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| 4/6/26 | ![]() The End of the LLM and What’s Next – Ian Hamilton CEO of Synthetic Cognition✨ | Artificial General IntelligenceLarge Language Models+3 | Ian Hamilton | Synthetic Cognition Labs | fruit fly | AGILLM+3 | — | 1h 02m 54s | |
| 4/3/26 | ![]() Why Hiding Your Mistakes Destroys Innovation✨ | innovationtransparency+4 | — | NASASoviet Union | moonlunar spacecraft | innovationtransparency+5 | — | 28m 16s | |
| 3/29/26 | ![]() Social Media is Legally Bad Now✨ | social media addictionlegal implications+4 | — | MetaYouTube+1 | — | social mediaaddiction+6 | — | 28m 06s | |
| 3/21/26 | ![]() The AI Layoff Lie And What’s Actually Happening✨ | AI layoffstechnology strategy+3 | — | AIDigg.com | — | AIlayoffs+3 | — | 31m 21s | |
| 3/14/26 | ![]() When Do We Burn It All Down?✨ | healthcareagriculture+4 | — | US healthcare systemIntel+1 | Cuba | monopoliesmonocultures+5 | — | 45m 59s | |
| 3/9/26 | ![]() Bombing on Stage: The Ultimate Resilience Blueprint with Michelle Plante✨ | resiliencestandup comedy+4 | Michelle Plante | 3reate | — | comedyresilience blueprint+4 | — | 42m 57s | |
| 3/7/26 | ![]() When to Stop Building✨ | tech culturepeer-to-peer messaging+4 | — | Signal3reate | — | LunchtimeModel Context Protocol+4 | — | 30m 30s | |
| 3/2/26 | ![]() Open Source Brain Stimulation: tDCS (Transcranial Direct Current Stimulation)✨ | open sourcebrain stimulation+4 | — | tDCS (Transcranial Direct Current Stimulation)3reate | AIclinical science+2 | open sourcetDCS+5 | — | 25m 33s | |
| 2/23/26 | ![]() Disposable Code vs Load Bearing Architecture With Cameron Hotchkies✨ | software developmentAI-assisted development+4 | Cameron Hotchkies | BlockLinkedIn+2 | — | software engineeringAI+4 | — | 1h 07m 28s | |
| 2/21/26 | ![]() Why Your Proprietary Data is No Longer a Defense✨ | proprietary datastartup strategies+4 | — | AIhealthcare+1 | — | startup ideasdata moat+5 | — | 50m 57s | |
| 2/18/26 | ![]() Building An App Live with AI – You Can Build With Me! Audio Only | You're best watching this as a video since we're live coding. Watch on YouTube: https://www.youtube.com/live/WDMcmxizoCI AI tools promise to write code for you, but what happens when the build fails? In this episode, we strip away the hype and dive into the gritty reality of AI-assisted software development. Using Antigravity and Flutter, we take on a major refactor of the open-source YourPods application: adding a private, local-only user account system. We start by prompting the agent to re-architect the authentication flow, then move into the trenches of implementation. You’ll see the entire process unedited—reviewing the AI's generated "PRD," troubleshooting over 190 analysis errors, and debugging cryptic Xcode build failures. We also explore the nuances of "human-in-the-loop" development, showing you how to guide the AI when it gets stuck and how to catch the subtle logic bugs it leaves behind. Whether you're a non-technical founder trying to build an MVP or a developer looking to optimize your workflow, this session offers a transparent blueprint for shipping features using modern AI agents. Time Stamps: (00:00) Intro: Technical difficulties (02:42) Why Flutter? Explaining the tech stack and open-source goals (04:50) Tooling up: Introduction to Anti-Gravity and the AI environment (06:22) The Problem: Demoing the YourPods sync limitation (15:00) Agent Workflow: Setting up the file explorer and AI chat (21:05) Context Windows: Why you should separate features into different chats (27:52) The Prompt: Writing the specific instructions for a "Local Account" (36:50) The "Pseudo PRD": Reviewing the AI’s implementation plan (55:04) Reality Check: Hitting the first round of 190+ analysis errors (01:20:05) Build Failed: Debugging the specific Xcode "Phase Script Execution" error (01:36:38) It's Alive: Successfully creating the first Local Account (01:58:35) UX Friction: Discovering the "locked-in" navigation bug (02:04:00) Call to Action: How to contribute to the repository Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y | — | ||||||
| 2/15/26 | ![]() AI’s Demigod Moment: Super Human AI? | We move past the doom-and-gloom headlines to explore the "Time Collapse"—why things we expected in years are happening in days. If AI can out-code a human, what happens to the architects of the future? Join us as we deconstruct the new "Practitioner Economy" and explain why your human judgment is now the most valuable resource on the planet. The digital landscape is currently experiencing a "Time Collapse." In this episode, we break into a live discussion already in progress to tackle a unsettling reality: the gap between AI capability and human processing is widening. With the release of Google DeepMind’s PhD-level reasoning models, the "bottleneck" has officially shifted from the machine to the human. We explore the transition from "edutainment" to "Applied Polymathy," where knowing how to code is becoming less important than knowing what to build. We dive deep into the Google DeepMind research paper, exploring how reinforced structures and dynamic context are turning LLMs into digital native citizens with superhuman capabilities. What we cover in this session: The Demigod Analogy: Why AI feels like a Greek myth come to life—extraordinary power paired with unique vulnerabilities. The Abstraction Trap: How software layers are being replaced by "Future Projections" that the human brain isn't yet wired to handle. Identity & Work: If AI can do your job better, faster, and cheaper, where do you find your purpose? We discuss the shift from "Knowledge Work" back to "Human Expression." The Engineering Myth: Why the death of "coding" isn't the death of "engineering," and how to leverage AI to solve the messy, complex problems of the physical world. This isn't just another conversation about curiosity; it’s a blueprint for the "Secret Masters" of the innovation economy. Stop consuming the hype and start understanding the mechanism. We are no longer at the precipice of the moment—we are in it. Time Stamps: (00:00) Going live mid discussion >_< (00:20) Recording an offline debate on AI. (01:31) Google DeepMind’s Deep Think model updates. (04:24) AI as an abstraction on software. (07:21) The Greek demigod analogy for AI. (10:50) Unlocking context and memory in models. (14:41) How human systems adopt technology slowly. (16:23) Reconciling work identity with AI automation. (18:30) Why coding is only part of engineering. (24:19) Global perspectives on AI sentiment shifts. (30:29) The transition from physical to knowledge work. (38:38) Replacing coding versus replacing total engineering. (41:19) AI as a massive opportunity for doers. Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/ETpFUsj1GkE?si=9XIpElR9Jg1qGR_q | — | ||||||
| 2/7/26 | ![]() Why AI Agents Won’t Replace Engineers | The narrative is setting in: software engineering is dead. According to the leadership at Anthropic, the profession has less than a year before AI agents take the wheel completely. But for the applied polymaths actually doing the work, the reality is far more complex. In this deep dive, we dismantle the hype to find the signal. We analyze the historical parallels of the printing press and the compiler—tools that didn't destroy jobs, but radically shifted the barrier to entry. The code itself is becoming a commodity, but the "Why" and the "How" have never been more valuable. We explore why "vibe coding" fails at scale, why the cost of maintenance is the hidden killer of AI-generated software, and why the industry is pivoting from "writing syntax" to "context engineering." If you are an artist, scientist, or technologist, this is your blueprint for survival. The future won't be built by those who can write the fastest boilerplate; it will be owned by those with the taste to curate it and the architectural vision to scale it. Join us as we explore the "Application Layer"—the final frontier where human judgment reigns supreme. Chapters: (00:00) Hello! (01:55) Why software engineering evolves rather than dies. (02:50) Cyclical nature of centralized versus distributed computing. (03:55) AI builds fast, but humans must maintain. (11:00) How compilers went from impossible to trivial. (14:20) Solving solved problems versus creating novel value. (15:40) Bold claims often mask incremental model improvements. (20:30) The application layer is the next frontier. (23:40) Future engineers need taste, judgment, and experience. Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/PuM1Sp934nI | — | ||||||
| 2/2/26 | ![]() Clawdbot? Moltbot? OpenClaw? Stop Outsourcing Your Judgment to AI! | The digital landscape is shifting from chat windows to direct execution. In this episode, we dismantle the hype surrounding "OpenClaw" and the new wave of autonomous agents that run locally on your machine. While the ability to self-execute tasks sounds revolutionary, the reality involves exposed API keys, zero guardrails, and a "Wild West" security environment that most users aren't ready for. We then pivot to the bizarre phenomenon of "MoltBook"—a Reddit clone populated entirely by AI bots conversing with one another. Is this the "Boltzmann Brain" of the digital age, or just a massive waste of electricity? We explore the friction between innovation and utility, debating whether these infinite loops of generative mimicry actually produce value or just noise. Finally, we tackle the core competency of the future creative: Judgment. AI can execute, but it cannot discern. We discuss why you must never outsource your decision-making, how to experiment without breaking your bank (or your OS), and why the "Spectator" mindset is the death of true craft. Stop watching the algorithm; start mastering the tool. Chapters: (00:00) Hello! (01:36) OpenClaw: Autonomous AI agents explained. (04:54) The security risks of unprotected API keys. (09:08) Why you must not outsource judgment to AI. (15:34) How agents "hack" memory using context windows. (20:06) MoltBook: The futility of AI-only social networks. (25:31) The neurological filter: Human brain vs. AI inference. (34:39) The Spectator Problem: Passive entertainment vs. active innovation. Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/bVP-opKjawg | — | ||||||
| 1/24/26 | ![]() Stop Coding, Start Managing Abstraction (How I Built and Shipped an App in 6 hrs) | Stop writing lines of code, start AI Coding. Andrew shipped a fully functional, international app in just six hours—not by typing syntax, but by managing a "murder" of AI agents, AI Coding. In this episode, we dismantle the "Vibe Coding" trend and replace it with the "Abstraction Workflow," a new method where creativity and judgment replace technical rote memory. Learn how to stop coding and start architecting. The era of "Vibe Coding" is already over. If you are still trying to tab-complete your way through scripts, you are working too slow. We are witnessing the shift from the "Creator Economy" to the "Practitioner Economy," where the barrier to building software has collapsed—if you know how to manage the machine. Andrew breaks down exactly how he built and shipped "Your Pods"—a complex podcast player with Apple Watch and CarPlay support—in a single afternoon. This isn't a discussion about prompts; it is a technical blueprint for a new way of working. We explore the Abstraction Workflow, a method of splitting codebases by context rather than feature to keep AI agents from hallucinating. We discuss why you should treat LLMs not as text editors, but as a "murder of agents" with specific roles, and why "Judgment" has replaced "Syntax" as the most valuable skill in engineering. Whether you are a senior engineer looking to accelerate or a creative with zero coding experience, this episode equips you with the mental models to build software at the speed of thought. Tune in to deconstruct the future of development. Time Stamps: (00:51) Shipping a functional app in six hours. (09:06) Why "Vibe Coding" is already obsolete. (15:55) Breaking code into context-based abstractions. (20:23) Managing a "murder" of AI agents. (25:22) When AI suggests creating race conditions. (29:00) Creativity is now the ultimate technical skill. Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://youtube.com/live/LdRCogLCbOU | — | ||||||
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