Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics

Crimson Desert and the Innovation Tax
Crimson Desert and the Innovation Tax: an essay on why ambitious systems can look like a 6/10 before their grammar becomes legible — and why AI teams must know what to patch, what to preserve, and how to turn criticism into a map.

The Alchemy of Ego - How AI Turns Unfinished Thought Into Fluent Certainty
A personal essay on how AI can turn unfinished thoughts into fluent certainty, why internal coherence is not external proof, and why falsifiability, failure conditions, and visible execution matter in AI-assisted thinking.

What Anthropic’s 81k Survey Reveals About What the AI Market Still Gets Wrong
Users Don’t Want Faster AI — They Want AI That Helps Them Live Better Without Losing Their Humanity.

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.

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

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.

Silence is a Debt. Visibility is Liquidity.
In an AI market flooded with repos, invisibility compounds like debt. Learn the two models that explain why proof alone doesn’t convert into opportunity.

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.