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Answer my clinic's phones with AI, and grade the calls it gets wrong

The same clinic director built his own phone switchboard where an AI voice answers patient calls first, transcribes them in real time and writes summaries and to-do lists. When two AI models disagree on how a call should be classified, the call lands on a grading screen where he taps number keys to mark the right answer.

How it works

  1. AI voice answers the incoming call
  2. Real-time transcription
  3. Summary and to-do list generated
  4. A second model cross-checks the classification
  5. Disagreements go to the director's number-key grading screen

Why it’s worth knowing

His quality control is a grading screen: when two AIs disagree about a patient call, the dentist taps number keys to mark them right or wrong, and those grades become the system's answer key.

Where it’s from

Summarized from a public post on buildnwrite.io. 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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