◦ 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
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Build Your Own Voice-First AI Agent — From Empty Repo to a Talking, Tool-Using, Always-On Assistant in One Session →

Paste this into Claude Code, Cursor, or Codex and it'll interview you, help you name your agent, then walk your codebase through building a voice-first assistant tier by tier: a text conversation loop you can debug before you ever add audio, a tool registry that lets the agent actually do things, real speech-in and speech-out (Deepgram for transcription, ElevenLabs for voice) so you talk to it instead of typing, memory that survives a restart, an always-on background loop so the agent can reach out to you first, and the safety rails that keep a proactive assistant from doing something you didn't ask for. Interview first, then build tier by tier. Each tier runs on its own and is verified before the next begins.