EXAMPLE DELIVERY FORMAT

Evidence your team
can use again.

This is the report structure included with the diagnostic. It illustrates the deliverable; it is not a customer result.

PROPRIOCEPTIVE AI / DIAGNOSTICEXAMPLE FORMAT

One workflow.
A traceable finding.

  1. Decision summary

    The main failure, its practical impact, and the next engineering decision supported by the evaluated cases.

  2. Scope and baseline

    Model/version, case identifiers, rubric, dataset lineage, output source and what the diagnostic covered.

  3. Case-level results

    Every evaluated case, its reference label, output, score and failure category. Repairs and regressions are counted separately when matched alternatives exist.

  4. Controls and interpretation

    Scorer checks, repeated or overlapping cases, comparison conditions and the claims supported by those controls.

  5. Reproduction and next steps

    Instructions, scoring code, artifact hashes, a results table and a ranked improvement plan. Internal-state experiments are identified as a separate next step where appropriate.

findings.htmlcase_results.csvreproduce.pymanifest.sha256
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