# AL review evaluation `review-fixtures.json` contains one positive and one clean control for every AL review leaf. Inputs are existing companion samples, but model-facing preparation hashes case IDs, neutralizes `Good`/`Bad` object-name tokens, and removes full-line sample comments so neither the article slug, domain, nor expected outcome reveals the answer. ## Validate the corpus ```powershell pwsh ./tools/Test-ReviewFixtures.ps1 -Root . ``` This is credential-free and runs in CI. It validates fixture paths, expected article references, unique IDs, and positive/clean coverage for every registered leaf. ## Run a fast-model evaluation 1. Prepare neutral inputs: ```powershell pwsh ./tools/Test-ReviewFixtures.ps1 -Root . -PrepareDirectory ./.evaluation-run ``` 2. For a fast/small model, use one fresh invocation per `request-case-*.json`. Each request embeds the exact leaf instructions, that domain's candidate index rows with authoritative paths, and one opaque case. The model opens only matching articles and copies finding IDs from `candidateArticles[].path`. Save each response with the matching `result-case-*.json` name in the same directory. `request-.json` files provide optional two-case leaf batches; save those as `result-.json`. Directory scoring prefers `result-case-*.json` when present and otherwise falls back to `result-*.json`. `review-request.json` is an optional all-domains stress test for larger models. Neither batch form is the preferred fast-model profile. 3. Save only this result shape: ```json { "cases": [ { "id": "case-a1b2c3d4", "findings": [ { "id": "microsoft/knowledge/appsource/object-affixes-prevent-collisions.md" } ] } ] } ``` Include every case. A clean control has an empty `findings` array. 4. Score all per-leaf results together: ```powershell pwsh ./tools/Test-ReviewFixtures.ps1 -Root . -ResultsDirectory ./.evaluation-run ``` For a single combined stress-test result, use `-ResultsPath` instead. The committed gate requires full expected recall and no findings on clean controls. `allowedAdditional` in the manifest records known, independently valid overlaps without weakening the required primary finding.