Auto repair assistant

An auto repair shop runs on linked data — customers tied to vehicles, vehicles tied to repair orders, repair orders tied to inspections, parts, estimates, and approvals. ChatData Sync generates all of it from a plain-English description, then connects it to your AI assistant so the shop can log work, look up jobs, and track what is open or unpaid — all through conversation.

The prompt that starts everything

You type something like this — no technical knowledge required:

Your description
Track customers and their vehicles. Each vehicle can have multiple repair orders. Each repair order includes inspection findings, parts used, an estimate with line items, customer approval, and technician notes. Track open vs. completed orders and which invoices are unpaid.

ChatData Sync reads your intent and generates the full data model before anything is saved. You review it, approve it, and your tracking space is live in seconds.

What gets generated

The following tables, fields, and relationships are created automatically:

Customers

  • Full name
  • Phone and email
  • Preferred contact method
  • Notes

Vehicles

  • Make, model, year
  • VIN
  • Current mileage
  • Linked customer

Repair Orders

  • Open date and target completion
  • Status (open, in progress, complete)
  • Assigned technician
  • Linked vehicle

Inspections

  • Finding description
  • Severity (safety, recommended, informational)
  • Technician notes
  • Linked repair order

Parts

  • Part number and description
  • Unit cost and quantity
  • Supplier name
  • Linked repair order

Estimates

  • Line items (labor and parts)
  • Subtotal and total
  • Presented date
  • Customer approval status

Approvals

  • Approved or declined
  • Approval method (verbal, text, signed)
  • Timestamp

Technician Notes

  • Observation text
  • Recommendation
  • Technician name
  • Timestamp

What your assistant can do

Once connected, your assistant handles the record-keeping through conversation:

"Open a new repair order for Maria Gonzalez — her 2019 Honda Civic, came in for an oil change and a noise on the right front."

Repair order created. Customer and vehicle records updated. Status set to open.

"Add an inspection finding — right front CV axle is worn, recommend replacement, safety concern."

Inspection finding added to repair order #1042. Severity: safety. Technician note recorded.

"Generate an estimate — CV axle replacement, $220 labor and $85 part."

Estimate created. Total: $305. Ready to present to customer for approval.

"Customer approved the estimate by text."

Approval recorded. Method: text. Repair order status updated to in progress.

"What repair orders are still open this week?"

3 open repair orders: #1042 (Gonzalez, Civic), #1039 (Park, F-150), #1044 (Chen, Camry).

"Which invoices are unpaid?"

2 unpaid invoices totaling $640: #1038 ($305, Reyes) and #1035 ($335, Thompson).

How to set it up

1

Describe your workflow

Sign in to ChatData Sync and type your plain-English description. You can start simple — "track customers, vehicles, and repair orders" — and expand later.

2

Review and approve the generated schema

ChatData Sync shows you every table, field, and relationship it will create. You see the full structure before anything is saved. Adjust field names if needed, then approve.

3

Copy your connection details

Your tracking space is live the moment you approve. ChatData Sync generates a GPT Action connection string (for ChatGPT) and an MCP endpoint (for Claude and other assistants). Scoped security tokens are included automatically.

4

Paste into your assistant and start talking

Paste the connection string into your assistant's configuration once. From that point, log jobs, pull reports, and update records through conversation — no forms, no spreadsheets.

Explore more

Start free — no credit card required

Create your auto repair tracking space, connect your assistant, and handle the first repair order through conversation today.

Set up your tracker