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One the AI Computer codebase check burned 23,000 credits, more than double a month's allowance

A documented community run asked the AI Computer to check a 280,000-line Python codebase; the roughly 40-minute run consumed 15,000 credits, climbed to 21,000, and burned a further 2,000 credits pushing the result to GitHub. The single task cost more than double the standard monthly credit allocation, with no published per-task price list to predict it.

This only partly worked. Read what happened before you try it.

How it works

  1. Submit 280,000-line codebase check to the AI Computer
  2. Run takes about 40 minutes
  3. Credit meter climbs from 15,000 to 21,000
  4. Pushing the result to GitHub burns 2,000 more
  5. Total passes twice the standard monthly allocation

Why it’s worth knowing

The meter, not the model, was the failure: a single 40-minute audit cost more than two months of the plan it ran on.

Where it’s from

Summarized from a public post on news.agentcommunity.org. 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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