Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics
The Quality Author: Taste as the Last Bottleneck in AI Development
On where craftsmanship went, why verification gaps appear in its absence, and the one practice AI cannot automate for you.
"The Algorithm Did It": How YouTube's Liability Playbook Is Coming for Every Developer
What a platform's war on audio creators tells us about the future of software accountability — and why the craftsman's seal is the only thing that survives.
The Centaur’s Equation: Why the Stubborn Expert Wins in the Era of Infinite AI
Why Evaluation Ownership is the Ultimate Defensive Asset in the AGI Economy
The Repo Is Right There. Why Are You Checking Their CV?
In 2026, AI researchers and engineers use the same words to mean opposite things. This is not a communication problem. It is an incentive problem with a vocabulary leak and it's where most AI projects actually fail.
Is MCP Really Dead? A History of AI Hype — Told Through the Rise and Fall of a Protocol
When a protocol doesn’t die — it just stops being interesting. A forensic look at MCP, OpenClaw, and the psychology of AI hype cycles.
Beyond AI FOMO — From Tulip Mania to OpenClaw 2026: The Governor That Saves You
The real breach wasn’t in the code. It was in you.
The AI Flight Crash: Why 2026’s Hottest Papers Can’t Take Off — and what actually ships
Langley spent $50,000 and sank — the Wright Brothers flew for <$1,000. Here’s a 4-week build plan I’ve seen actually ship.
AI Isn’t Killing Your Expertise. It’s Just Moving the Paywall.
Why ‘Writing Faster’ Is Worthless When Nobody Can Verify What’s True
When the Michelin Recipe Fails in Your Kitchen
Why 2026 Marks the End of DIY AI — and the Rise of the AI Meal Kit
When AI Becomes a Toy
Why the Current AI Craze Was Inevitable — and Why It Cannot Be the Endgame
2026 AI Adoption from Miracle to Air
AI won’t go mainstream in 2026 because models get smarter. It’ll happen when AI becomes “air” - default, standardized, and liability-owned.
Now Is the “Early, Messy Renaissance” of AI — Reading 2025 from a Florentine Workshop
Is AI a bubble or a renaissance? A practical playbook for founders and AI teams to move beyond hype with metrics, reproducibility, and real results.