◦ Prompt · Cost

Give Your AI Agent a Cost Dashboard — From Blind Spend to Live Token Tracking in One Session

Paste this into Claude Code, Cursor, or Aider and it'll walk your agent codebase through capturing the token-usage data your LLM responses already return — and that you're almost certainly throwing away — pricing it from a local rate table, persisting one row per call, and surfacing a live month-to-date cost indicator with a click-to-expand breakdown: per model, cache savings, and day by day. Interview first, then build tier by tier. Each tier ships independently with verification.

May 22, 2026agentobservabilitycost-trackingtokensclaude-codetutorial
◦ 4,617 builders waiting

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.

I'll send a one-time link to confirm your email. Nothing else.

◦ Next prompt
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.