Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics
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.
Your Agentic Stack Has Two Layers. It Needs Three.
Most agentic stacks cover tools and skills, but miss intent governance. Learn why a third layer is needed to stop AI drift, scope creep, and technically correct systems heading in the wrong direction.
Why Reasoning Models Die in Production (and the Test Harness I Ship Now)
Why reasoning models fail after deployment, what production drift looks like, and the test harness I use to catch fragile logic before itships
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.
Implementing "Refusal-First" RAG: Why We Architected Our AI to Say 'I Don't Know'
Implementing refusal-first RAG means teaching AI to say “I don’t know.” This article explains evidence atomization, Slop Gates, and grounding checks that favor verifiable answers over plausible hallucinations.
LOGOS LawBinder: From Governed Reasoning to Audit-Grade Execution
This article explains how LOGOS v1.4.1 improves production AI reasoning with multi-engine orchestration, complexity-aware governance, and audit-friendly failure tracing.
LOGOS v1.4.1: Building Multi-Engine AI Reasoning You Can Actually Trust
LOGOS v1.4.1 is a multi-engine AI reasoning orchestrator that enforces consensus, traces failures, and applies governance profiles to reduce drift and make production reasoning more trustworthy.
LawBinder v1.3.0: Governance as a Kernel (Not a Guardrail)
LawBinder v1.3.0 shows how AI governance can run like a kernel, using deterministic Rust-based enforcement, replayable audit signatures, and bounded-latency policy checks in the critical path.
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.
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.
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