Give Your AI Agent a Scout — From Hard-Coded Prompts to Operator-Tunable Doctrine in One Session
Paste this into Claude Code, Cursor, or Aider and it'll walk your agent codebase through building a scheduled scout sub-agent: a research loop that ends in a validated structured report, an evidence-first rubric with explicit hard kills, rotating hunting lanes that change what it looks for by the day, a review pipeline where a human decides and the agent never does, and — the part almost everyone skips — an instruction set that lives in editable documents your operator can retune from the UI with override, revert, version history and hot reload, instead of a Python constant nobody can reach without a deploy. Interview first, then build tier by tier. Each tier ships independently with verification.
Want the agent behind these prompts?
These prompts came out of building Trillion. The whole thing is going open-source on GitHub. Drop your email and I'll ping you the moment the repo drops.