AI forgets everything past its context window. And when it forgets, it starts making stuff up. I built SOKK, a career assistant that dropped hallucination from 24% to under 3% using dual-gate verification. Then I built UOCE, a context engine that reduced token usage by 67-95%. This episode breaks down the architecture, the research backing it, and what I'd do differently. If you work with LLMs, this might change how you think about memory.

Four devs. Four months. One $640 billion problem.

We built an AI waste classification app for California's SB 1383 compliance. In this episode: why context engineering beats prompt engineering, the CapacitorJS tradeoffs nobody warns you about, building an AI assistant that isn't ChatGPT slop, and how gamification actually got people to care about recycling.

Honest takes on what broke, what worked, and why we're not making this a startup.

Google just announced the Universal Commerce Protocol at NRF 2026. Most headlines are calling it an "AI shopping assistant." But here's what I see: Google is building the toll booth of the entire internet economy. In this episode, I break down what UCP actually is, why Amazon and Apple aren't on board, the 24% trust problem Google is betting billions to solve, and what this means for consumers and businesses. Would you let AI buy things for you?

Tailwind CSS just fired 75% of their engineering team. Downloads up 5x. Revenue down 80%. AI is to blame.Here's the brutal truth about open source in 2026: The more successful your project, the faster you die.In this episode:• Why Tailwind's npm downloads exploded while revenue collapsed• Adam Wathan's raw 33-minute confession about the "boiling frog" moment• The documentation funnel that AI completely broke• Which open source projects are next (Prettier, core-js, and more)• What you can actually do to helpThis isn't just about Tailwind. It's the first domino. AI companies are making billions. The open source projects they trained on? They're dying.

From "shell product" to $2 billion in 9 months. The untold story of how Manus AI turned brutal criticism into the fastest acquisition in AI history.

In this episode:

• Why invite codes sold for $14,000
• How Manus hit $100M ARR after being called "unusable"
• Why Meta paid $2 billion in just 10 days
• The shift from chatbots to AI agents

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Why AI chatbots are officially dead in 2026. I break down "AI slop," introduce the Talk vs Do test for evaluating any AI app, and explain why even Apple and Perplexity are struggling. Plus: generative UI and what's actually replacing text-based AI.