Thoughts
Inside the Agent Loop
One agent run, step by step: where the model decides, where my code decides, and where each guard actually sits.
How I Built the Ask Chat
A chat box that only knows what this site says, and says so when it doesn't.
Hard Rules Inside Claude Code
AI agents are good but never fully predictable. Claude Code mods let me put hard rules around one, and the simple ones cost nothing to run.
How I Use pstack
Lauren Tan's pstack, explained plainly, and where it sits in my own workflow: an outer loop above the coding agents, proof before merge, and a person who says GO.
Learning the Agent OS (9 Months)
I stopped chasing model launches and started drawing the system: memory, harness, loop, eval, then System 1 next to System 2. Three short parts, two stages each, with a small drawing for every stage.
Grok Bot as a Diagram
One job per bot, a shared computer, and a human gate on anything irreversible, drawn the way I explain agent systems.
Motion Engineering: The Studio Matters More Than the Prompt
A model can make one good video. Getting the tenth one better than the first takes a system built around it.
Building Under Zero Data Retention
How we ship agentic apps with ZDR constraints using an MCP gateway, RBAC, and data classification.
Generator vs. Evaluator: An AI SDLC
Separate the generator from the evaluator. Gate releases on evals. Ship quality instead of velocity theater.
How AI Agents Remember
Why your AI tool seems to know you, and the small gate that keeps its memory short.