Bench / Methodology / run c05c57fc-f769-4c37-b202-6b5876c0d24f
Customer changelog draft
openai/gpt-4o-mini · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
As of .
Candidate cost: 0.00002685
Judge cost: 0.0000522
Total (candidate + judge): 0.00007905
Cost source: openrouter_usage
Tokens in / out: 71 / 27
Latency: 1267 ms (wall clock)
Stored at:
Comparison: 7fb16500-712d-4e11-bcab-20a9d05e61e5
Amounts are the exact stored decimal strings. No rounding is applied. candidate_cost_usd is the sum of measured run costs. judge_cost_usd is the sum of stored tier-2 judge ledger rows, or null when none were recorded. total_cost_usd equals candidate plus judge only when every candidate cost is present and a judge cost was recorded.
Derived integrity
These fields are computed from the stored output and evaluation. The output text below is unchanged.
output_incomplete: false
completeness_confidence: high
completeness_reason: —
presentation: flawless
Spot check: Human spot check
Spot-check note: Pass: customer-facing draft mentions CSV last-row fix and tax ID on invoices without internal jargon.
Output
**Changelog:** - CSV export now includes the last row in the file. - Invoices will now display the tax ID.
Evaluation stored on this run
{
"tier": 2,
"notes": "The changelog accurately and clearly describes the user-visible fixes without mentioning internal details, fitting the intended audience perfectly.",
"score": 5,
"tier3": {
"at": "2026-10-02T00:27:14.367Z",
"date": "2026-10-02",
"note": "Pass: customer-facing draft mentions CSV last-row fix and tax ID on invoices without internal jargon.",
"passed": true,
"verdict": "agree",
"reviewer": "cos",
"issue_found": false,
"output_read": true
},
"passed": true,
"status": "scored",
"dimensions": {
"clarity": 5,
"accuracy": 5,
"omissions": 5,
"audience_fit": 5
},
"tier3_kind": "human",
"tier_label": "LLM judge",
"tier3_label": "Human spot check",
"presentation": "flawless",
"score_capped": false,
"judge_model_id": "google/gemini-2.5-flash-lite",
"display_overall": 5,
"output_incomplete": false,
"completeness_reason": null,
"rubric_prompt_version": "rubric-v1",
"completeness_confidence": "high"
}