Shop / Prompts & Skills / Auto Repair Estimate Explainer — AI Prompt That Turns Estimate Lines Into Plain Customer Explanations

Explain the repair estimate in words the customer can follow

A customer staring at a written estimate sees part names and numbers, not a decision. Approvals stall — or get signed resentfully — when the person paying cannot tell what each line is, why it costs what it costs, or whether the work is already authorised. The fix is a plain-language pass over the estimate you already wrote, using only what the estimate itself says.

One estimate line, taken apart

A real explanation, source check included

The estimate explainer returns the customer-facing message and its own source check in one output:

STATUS: READY
MESSAGE:
Your written estimate lists replacement of the cabin air filter. It shows a $24 part charge and $18 labor charge, with a $42 total. This is an estimate; the text says the work is not yet authorized.
SOURCE CHECK:
- Work and prices: ESTIMATE_TEXT.
- Authorization status: ESTIMATE_TEXT.

Sample data above is fictional, shown so you can judge the output before buying.

What never gets added

An explanation is not a diagnosis. The explainer does not add causes the estimate does not state, urgency the advisor did not assess, or savings that were never quoted. And when the estimate contradicts itself — two figures that cannot both be right, or essential text missing — it stops and asks instead of explaining over the gap: those HOLD questions go back to the advisor, not to the customer.

The tool for this job

Auto Repair Estimate Explainer — AI Prompt That Turns Estimate Lines Into Plain Customer Explanations — Explain a written repair estimate in words a customer can follow — each line in plain language, using only what the estimate itself says.

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Questions

Does it fill in missing details?

No — its instructions prohibit inventing details and require flags for uncertainty; AI output can still be wrong, so you must review it.

Do I need a paid add-on, API, or connected account?

No — you need access to a compatible AI chat; access limits and any chat-service charges depend on that provider.

Is the draft ready to send or publish without review?

No — the status and source checks are intended to support human verification first.

What if two figures on the estimate conflict?

The prompt holds the explanation and returns questions about the conflict instead of picking a figure. A customer explanation built on a guessed number creates a worse problem than the delay.