Content
77%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable eval guide with excellent executable examples and a well-structured A/B comparison workflow. Its main weakness is moderate verbosity in the framing/narrative sections and a monolithic structure that could benefit from splitting reference material (authoring, reporters, presets) into separate files. The statistical reasoning guidance and concrete threshold values are particularly valuable additions that Claude wouldn't know from general knowledge.
Suggestions
Tighten Section 1 to a bullet list of key numbers (flip rates, score change rates) without the narrative framing about 'what we learned' and 'the important point'.
Consider extracting Sections 7-10 (authoring, reporters, presets, snapshots) into separate reference files and linking to them from the main guide to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient and information-dense, but includes some unnecessary framing (e.g., 'The short version' preamble, explaining what noise means, restating that single runs aren't trustworthy multiple times). Section 1's narrative about what 'we learned' could be tightened to just the key numbers and takeaway. | 2 / 3 |
Actionability | Excellent actionability throughout: fully executable bash commands with realistic flags, specific trial count recommendations, concrete threshold values (0.05 score delta, 0.05 pass-rate delta), and copy-paste ready A/B comparison workflows. The quick reference commands section alone provides complete, runnable examples for every lane. | 3 / 3 |
Workflow Clarity | The A/B comparison workflow in Section 3 is clearly sequenced with explicit steps (run baseline → save path → make change → run candidate with --compare-baseline → read verdicts). Section 4 provides clear interpretation rules with validation checkpoints (check if CI excludes 0, check effect size). The overall flow from understanding noise → running trials → comparing → interpreting is well-structured. | 3 / 3 |
Progressive Disclosure | The content is well-organized with numbered sections and clear headers, but it's a long monolithic document (~200 lines) with no references to external files. Sections 7-10 cover distinct topics (authoring, reporters, presets, snapshots) that could be split into separate reference files. However, since no bundle files are provided, the inline approach is acceptable if not ideal. | 2 / 3 |
Total | 10 / 12 Passed |