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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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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.

Prompt, Pray & Push: Why Your AI Agent Keeps Failing You
The one concept that turns expensive spaghetti into great agentic engineering.

Chaos Engineering for AI: Validating a Fail-Closed Pipeline with Fake Data and Math
A case study in AI governance showing how synthetic invalid inputs, structural disagreement, SIDRCE ethics checks, and end-to-end reliability scoring triggered a safe BLOCK verdict in a biomedical pipeline.

The Pull Request Illusion: How AI Is Hollowing Out Software’s Last Line of Defense
GitHub Just Added a Switch to Turn Off Pull Requests. That’s Not a Feature. It’s a Warning.

From 97% Model Accuracy to 74% Clinical Reliability: Building RSN-NNSL-GATE-001
Learn how RSN-NNSL-GATE-001 turns high model accuracy into system-level clinical reliability by blocking unsafe AI pipeline decisions, measuring end-to-end risk, and enforcing fail-closed governance.

AI Agents Are Poisoning Your Codebase From the Inside
Explore how AI-generated code can silently degrade software quality through weakened tests, rising code churn, and duplication—and how teams can prevent it with better governance.

Why I Stopped Treating Complexity as a Bug
On intent, governance, and why “clean code” heuristics fail in AI-generated systems

The Real Risk in the Age of AI Coding Isn’t Bugs
Is your AI code production-ready or just 'AI Slop'? Learn how to detect convincingly empty code, measure Logic Density (LDR), and stop 'Vibe Coding' from becoming hidden technical debt.

Why AI Dismisses Your Best Work in One Second
Why do AI models dismiss original work in seconds? This essay explores the hidden mechanics of AI skimming—shortcut learning, probabilistic safety, fast-thinking defaults, and why depth requires time.

My Code Fixed Itself at 11PM
A “Quantum Engine” is a dramatic name. Here’s the un-dramatic story.

⌨️She Said I Broke the Speed of Light. So I Turned It Into Math.
"You broke the speed of light." Instead of fighting the cosmic war, I built the Composite Reliability Index (CRI). It's the engineer's math model for filtering online noise, saving your sanity, and reclaiming your afternoons.
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