A deep dive into building a headless CMS with Notion as the backend and Gatsby as the frontend.

AI agents blow right past markdown rules files. Here's how hook-based enforcement at action boundaries actually works — and why it's the only thing that does.

How I built a sound notification system that gives each AI agent a unique audio persona from Warcraft, Star Trek, and Blade Runner. 398 sound files, three universes, and the Pavlovian dopamine hit that makes multi-agent orchestration actually work.

The Agentic Developer Toolkit: hooks, validators, YAML guard configs, UEAH attribution, sound notifications, and federation across Cursor, Claude Code, and Gemini CLI. What's in it, how the pieces connect, and what I learned.

The tech architecture behind Project N95: how a pandemic nonprofit built an Airtable-powered Gatsby storefront, managed 400 volunteers, and taught me everything about building systems that survive chaos.

Part 2 of the enforcement series. The actual Python validators, YAML guard schemas, adjudication engine, and federation pipeline that make agentic hook enforcement real.

At this level, we stop treating the prompt as text and start treating it as code. Meta-Prompting, Conductor-Expert patterns, Adversarial Trinity, and performance benchmarks.

Zero-Shot Prompting explained: how modern LLMs leverage instruction tuning to follow commands without in-context examples. Includes Zero-Shot CoT, optimization strategies, and decision heuristics.

ADR-first development for AI agents: what 200+ Architecture Decision Records taught me about compounding, QE-ADRs for bug investigation, and the enforcement stack that makes agents write the decision record before the code.

How I turned a 21-database Notion workspace into a live, interactive knowledge graph visualization — and why the system that organizes your work IS the work worth showing.