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My agent checks every repair plan against the manuals, and one check saved a six hour dead end

A field service worker loaded the AI with every user and service guide for the products he repairs, plus all advisories and known issues. He runs each job's action plan through it: The AI checks the parts are on the original parts list, flags advisories, and builds a step by step PDF for the repair. On a product he barely knew, its diagnosis named a different component than the plan he was given. After six hours with his engineering team he followed the agent's call and it fixed the machine.

How it works

  1. He loads all product guides and advisories into AI
  2. Each job plan is run through it
  3. The AI validates parts against the original list and flags known issues
  4. It builds a step by step repair PDF
  5. On one job its different diagnosis proved right after six hours of other work

Why it’s worth knowing

The agent out-diagnosed the official action plan on a real repair, and he has the six wasted hours to prove the difference.

Where it’s from

Summarized from a public post on reddit.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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