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 Meeting Nobody Could Follow -The format of AI output is a design decision. We made it wrong for three years.
How our engineering team stopped sending 200-line Markdown files that nobody read — and what a nine-word post from an Anthropic engineer taught us about AI output format as a design decision. Includes token cost analysis, real prompt templates, and the HTML render layer approach used in production.
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.
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
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.
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.
95% of AI Businesses Will Die. Here’s How to Not Be One of Them.
What the data, a founder’s confession, and 70 years of tech history tell us about who actually survives.
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.
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