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Audit my own AI usage and show me where I waste tokens

A user built optimAIzr with AI, a local-only CLI that analyses his own LLM usage habits, flags costly or repeated patterns and estimates where he can cut tokens or spending. All data stays on his machine, and the tool adds live tips while he works.

How it works

  1. Build a local CLI with AI
  2. Point it at his own LLM usage history
  3. Detect costly and repeated patterns
  4. Explain why a prompt is inefficient
  5. Simulate savings and surface live tips during work

Why it’s worth knowing

He used AI to build a watchdog over his own AI spending — and kept every byte of it local.

Where it’s from

Summarized from a public post on vibingtalk.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.