AuditPilot Local Precision Model

Hybrid local model — trains on your feedback, improves every day

Generation
—
training iterations
Trained on
—
feedback examples
Accuracy
Not yet measured
on corrected examples
Last trained
Never
auto-trains daily 02:00 UTC

Current model weights

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Saved snapshots

No snapshots yet. Train the model or click "Save snapshot".

How the model trains itself

  1. You run a compliance check — the engine scores each clause with 6 features.
  2. You click "Actually covered" or "Confirm gap" on any result.
  3. Feedback is stored in the local database with its feature vector.
  4. The trainer nudges the model weights toward better predictions (gradient-free perceptron update).
  5. Every night at 02:00 UTC a scheduled pass processes all pending feedback automatically.
  6. A dated snapshot is saved at 02:15 UTC — you can rollback to any past version here.