How it works
Evidence in → calibrated, cited diagnosis out → expert confirms → the system learns.
1 · Submit what you have
A nameplate photo (or typed fields), condition photos, answers to a few symptom questions, and any bench/field test readings. Every field is optional — the read sharpens as you add evidence.
2 · It reasons — calibrated, not confident
Perception reads each input with its own confidence and deterministic physics checks catch impossible values; then one reasoner fuses the channels — agreement raises confidence, conflicts are surfaced, and a diagnosis is never more certain than the evidence under it. A hard gate enforces honesty and an adversarial pass argues the alternative.
3 · You get a decision-ready read
A ranked differential, an honest 'decidable now vs needs a bench test' call, the single best next step, and the most useful inputs to add. Your expert confirms or corrects — and that correction teaches the system. (v1 does not quote.)