Cost Control: Model Routing and Effort Tiers
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Step 1 of 4

Profile spend by call class

Find where the money actually goes before moving anything.

First time here? Paste the Context Pack first so the AI understands your project - open it from the header above.

Prompt Capsule
Profile my agent's model spend. Instrument every model call with: call class (main-loop reasoning, compaction summary, memory extraction, classification/routing, repair, sub-agent, embedding), model, tokens in/out, and computed cost. Run a representative day of tasks (or replay recent transcripts through the accounting). Produce the spend breakdown: cost share per class, average call size per class, and the top-3 cost concentrations. Typical finding worth checking: auxiliary calls (summaries, classifications) making up a large cost share while needing far less capability than they get.
Paste into EmergentFull Build: complete implementation prompt with explicit requirements

Quick is short. Full Build is recommended for most steps. Strict forces real logic when the AI keeps faking output.

Actual change check

Expected after this step

A spend breakdown by call class with concentrations identified.

Should NOT happen

  • An existing feature broke
  • A button only logs to console
  • Data disappears after refresh
  • Errors fail silently with no visible state

This is what should exist before you continue. If reality does not match, do not move on.

Track what changed, failed, or needs follow-up. Notes export with the flow.

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