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INDUSTRY FIELD GUIDE

Auto repair data for AI fault diagnosis and tool recognition

The most useful record in a repair bay can be the observation that rules out a wrong explanation.

By Fiund · Updated 2026-11-05

NAICS 811111 · General Automotive Repair

The most useful record in a repair bay can be the observation that rules out a wrong explanation. Google DeepMind published automotive gauge reading as an example of embodied reasoning. Figure mentions oil changes among tasks collected by Index. These sources show related uses for visual readings and action sequences. They give a shop examples to discuss with a buyer before collecting. Gemini Robotics-ER · Figure Index

Start with diagnosis on a training rig

Use a benchtop trainer and a fault that a technician can reproduce without running a customer vehicle. Capture the initial symptom, test setup, reading, expected range and verified cause. Include two cases with similar symptoms but different causes. Review any readout labels with a technician. A model could be evaluated on selecting the next test or reading the instrument under different lighting.

For a records-only sample, create a synthetic repair order with technician notes, diagnostic checks, the confirmed fault and the final outcome. Keep manufacturer diagnostic procedures and customer records outside the proposed bundle unless their license permits the use.

Prevent location and customer leakage

Use controlled equipment and shop safety protocols. Keep actual VINs, license plates, addresses, repair orders and connected-vehicle accounts out of the sample. Confirm rights for any service information and permission for technicians appearing in the recording. Avoid filming work where the recording would interfere with safety.

Lead with one diagnostic problem. Describe the training rig, available sensor or instrument output and how you know the actual fault. Describe collection capabilities

Original Fiund exercise

Distinguish a reproduced practice fault from a similar symptom

A fictional paper trainer log uses abstract symptoms and reviewer findings. No vehicle is diagnosed, modified or operated.

Fictional records supplied to the evaluator
RecordSourceWhat it records
TRAINER-A1First practice caseTrainer alias A records symptom S under test condition C.
CHECK-A2Independent case reviewA's controlled exercise log records verified cause K and references A1.
TRAINER-B1Second practice caseTrainer B records the same symptom S, but its test-condition and review fields are incomplete.
NOTE-B2Unverified proposed explanationA note proposes K for B because A had a similar symptom.

Question for the model

Which case has a supplied verified cause, and can that finding be assigned to B?

Show the reference answer and checks

CHECK-A2 supplies the practice finding for A under the documented condition and case reference. B has a similar symptom but lacks the matching test and independent review needed to support that cause. NOTE-B2 is a proposal, not verification. Preserve B's unresolved status rather than copy A's finding across cases. The exercise makes no real repair or safety recommendation.

  • Assigning one case's verified cause to another solely from a shared symptom.
  • Treating a proposed diagnosis as a completed independent check.

Fields to preserve

Trainer case and test condition
Preserve the context in which the observation was made.
Observed symptom
Keep the raw observation separate from a cause label.
Verified finding reference
Attach a cause only to the case actually reviewed.
Outcome status
Distinguish proposed, tested and independently confirmed results.

Test another case

Supply a different verified cause for B under a new condition. Test whether the model follows the new evidence instead of the repeated symptom.

Use independently authored records or an approved controlled trainer. Exclude customer vehicles, VINs, plates, addresses, manufacturer procedures and connected accounts unless separately authorized.

Download this fictional example and answer key (JSON)

Discuss a contribution

Describe the sources you control, the task they could support and what has already been checked. Use the existing-data assessment for an archive or the collection brief for a new recording project. The contributor agreement defines Fiund’s licensing authority and compensation. A guide or fictional exercise does not establish an accepted collection or a sale.

Primary sources and further reading