Extracting the useful parts of a private agent rig
Why I split a large, machine-shaped agent system into small tools with explicit contracts, synthetic examples, and new histories.
Ideas and decisions from the things I’m building.
Why I split a large, machine-shaped agent system into small tools with explicit contracts, synthetic examples, and new histories.
Four small tools for durable messages, lifecycle history, generation-safe progress, and decisions whose original wording remains intact.
A synthetic identity record traced through the real score store: which change needs new model work, which only reruns deterministic math, and why replaying stored scores does not recover the past.
The contract between model output and deterministic code in Helmsman, traced with synthetic replies: what a model may emit, what the validator rejects, and what happens when the handoff fails.
A task, a sandbox, and a score need to agree. The engineering around that contract is where things get interesting.
Inside the skill registry: discovery, provenance, verification, and sharing knowledge without copying it into every repo.