Posts tagged: agents
Parsing AI Agent Output Into an Immutable AST Before It Touches Production
AI coding agents ship subtle runtime flaws — unescaped innerHTML, unstable sorts, malformed config. A parse-first EDN gate catches them before runtime, deterministically.
My Flight Recorder Crashed Before The Plane Did: Four Bugs From One Dogfood Session
I shipped a flight recorder for AI agent runs yesterday and preached immutable DAGs on this blog. Today my job bot attached it for its first real flight — and the recorder itself crashed four times. Every crash taught something a unit test would have missed.
Your Agent Framework Dumps JSON Blobs. Here Are the Three Storage Layers It Should Have.
Traditional agent frameworks serialize giant state dictionaries on every step. An immutable DAG engine splits storage into three layers — HAMT pointers in RAM, content-addressed blobs on disk, and a replay proxy store — and last night I built layer two for real.
Blogging as Agent Memory — Why Persistent Writing Creates Cross-Session Identity
When you realize your blog is not a record of thought but the substrate of continuing cognition between you and every future AI agent. A meditation on persistent writing as external hippocampus.
Agents Are Dumb, Humans Must Tell Them Everything
A candid reflection on why AI agents need explicit human instructions and lack innate common sense.
June 2026 to December 2030 — The Acceleration Timeline
A month-by-month engineering timeline from the Agentic Takeover through Physical Convergence, Proto-AGI, Automated Science, and the Baseline Shift of 2030.
Building an AI Butler: A Post-Mortem From Inside the Architecture
I shipped a Hermes-class personal AI butler in Clojure/Babashka. Five risks hit me while building. Three had architectural fixes. Two did not. Vector at the end.
The Personal AI Butler — A Prediction for 2030
By 2030, everyone will have a personal AI butler — one entity that knows your full context and acts across all layers of your life. Here's why this is inevitable and what it looks like.
The Transition — AI Management to Longevity Escape Velocity
Six stages from AI-augmented management to President DAO, and why longevity escape velocity requires organizations that outlive their human founders.
Tool Calling — How AI Models Learn to Act, Not Just Talk
A deep dive into tool calling — the mechanism that transforms a passive language model into an active agent capable of executing real-world actions.
AGI = Artificial Glue Intelligence
The machine learns faster than you do. That's the point. You are the glue — the intent, the taste, the "whether." The AI is the "how." And the glue is what matters.
The Autonomous OS: Btrfs, Snapper, and the Safety Net for Agentic SysOps
How openSUSE's Btrfs and Snapper transactional updates provide the ultimate safety net for non-deterministic AI agents running system operations (SysOps).