Stop overpaying for every agent call.
Free & open · no signup · read-only — every stage ends by asking · nothing leaves your machine
For AI-agent teams: the token economics of the loop, whether the model tier fits the job, and the context engineering that stops you paying for tokens you do not need.
The conductor fetches each brief in turn and writes its report before moving on — later briefs can build on earlier findings. Or copy any single stage to run it alone.
3 reports in reports/, plus the run's own INDEX.md: TOKENS.md, MODELS.md, CONTEXT.md. Feed them to the optional Studio to turn findings into commits, or run 28 · Roadmap Synthesis to merge them into one plan.
Copy the conductor into your agent inside the repo you want checked. It runs each Goal Prompt in sequence, honoring each one's ask-first rule.
Cost per completed task, not per call — retry waste, context bloat priced out, cache leverage, and the margin math.
Model-to-task fit across every call site — where cheaper and faster would do, where quality is starved, and what happens when a provider blinks.
Reconstruct what actually enters the model's window each step — stale payloads, token hogs, retrieval junk, and buried instructions.