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🚗 Auto Repair Shops × 📄 Documents & Proposals

Plain-English Repair Explanation: a playbook you can actually use.

Convert verified technician findings into customer-friendly language. This page gives you a copy-ready prompt, a controlled workflow, a practical tool stack, and a mini-agent concept you can implement gradually.

Copy-ready prompt

Rewrite these verified auto-repair findings in plain English

Inputs to supply: verified findings, recommended repair, why it matters, urgency level, price if approved

Rewrite these verified auto-repair findings in plain English. Explain what was observed, the recommended repair, why it matters, and any verified urgency. Do not add causes, safety claims, warranty statements, or prices not supplied.
Controlled workflow

From intake to human-approved action.

Technician findings
AI drafts explanation
advisor verifies
customer message/estimate
Tool stack

Use the fewest tools that solve the problem.

These are example tool categories and common products—not endorsements. Prefer tools you already operate, can secure, and can integrate cleanly.

LLMChatGPT, Claude, or Gemini
shop managementyour existing system
automationZapier or Make
messagingapproved SMS/email platform.
Mini-agent concept

Repair Explanation Assistant

A narrow assistant for this one workflow—not an autonomous replacement for staff. Give it approved source information, restrict what it may decide, log outputs, and require human approval at the consequential step.

Guardrail

Where the human stays in charge.

Vehicle diagnosis, safety recommendations, repair authorization, warranty coverage, and pricing must be verified by qualified shop staff.
From playbook to production

Want this workflow built for your business?

CYBERSIDE can help adapt the prompt, connect it to your actual tools and data, define review rules, test the workflow, and train the people who will use it.