Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics
I’m Not Building AI Demos. I’m Building AI Audits (ASDP + Slop Gates)
Learn how ASDP and AI Slop Gates turn AI trust into auditable evidence, with CI/CD checks, drift policies, and governance artifacts that block weak, narrative-driven 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.
HRPO-X v1.0.1: from HRPO paper production-hardened runnable code
Project note, essay, or technical log from the Flamehaven writing archive.
Undo Beats IQ: Building Flamehaven as a Governed AI Runtime (Not a Prompt App)
Project note, essay, or technical log from the Flamehaven writing archive.
Turning a Research Paper into a Runnable System
Turn a research paper into a runnable system. This article shows how HRPO’s core equations were implemented with bounded policy lag, KL rejection, and execution checks to test real-world fidelity.
2026 CRM AI: From Seats to Service (Why Undo Beats IQ)
In 2026, CRM AI won’t be won by smarter models—but by Undo. This essay explores why enterprise adoption shifts from IQ to liability, how “Service as a Software” replaces SaaS, and why seatbelt layers decide who actually ships AI in production.
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.
Stop Acting Like You Just Invented Fire: Why MCP Is Just Fancy Plumbing
A brutal, funny teardown of MCP hype. Why the Model Context Protocol is not the future of intelligence—just fancy plumbing. FOMO, telegraphs, sewage pipelines, and the unsexy work that actually makes AI systems survive.
I Stopped Being a Human Copy-Paste Script
I used to manually delete node_modules at 2 AM and pray I didn’t leak secrets to LLMs. Then I built an open-source “Inspector” that treats context like production code — secrets blocked, payloads cleaned, hallucinations gone. Here’s exactly how I did it (and how you can too).
Running the “Anti-AI” Playbook Through the Debugger
Critics say AI is broken — hallucinations, hype, and no ROI. But what if those bugs aren’t failures, but blueprints? This article runs the 10 most common anti-AI arguments through the debugger to reveal what’s really coming in Gen-2 AI.
Black Mirror: Plaything — Could a QR Code Really Hack the World?
Black Mirror imagines a QR-code apocalypse. As a Flame Glyph developer, I unpack what’s plausible today — local device disruption — and what remains fiction.
Structure Was the Real Bug — How I Ended Up Building dir2md
A firsthand account of how debugging chaos, failed AI assistance, and the absence of structure led to the creation of dir2md — an open-source CLI that filters, secures, and restructures codebases into token-efficient Markdown maps for developers and AI workflows.
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