Bench / Methodology / run 6a7c2320-70f2-485f-b404-53755fcc202c

Customer changelog draft

openai/gpt-4o-mini · task v1 · methodology v1 · visitor-key / video-demo

LLM judge
5/5clarity 5 · accuracy 5 · omissions 5 · audience_fit 5Human spot checkMethodology

As of .

Comparison page · Episode page

Candidate cost: 0.00002685
Judge cost: not recorded
No grand total on this receipt.
Cost source: openrouter_usage
Tokens in / out: 71 / 27
Latency: 674 ms (wall clock)
Stored at:
Comparison: ba117668-cc71-417b-a676-1e982d874a8e

Judge cost not recorded for these runs

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: cos-ops spot check: stored evaluation status=scored passed=true score=5; output present and format-compliant for featured publish.

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": "2026-10-01T13:57:27.266Z",
    "note": "cos-ops spot check: stored evaluation status=scored passed=true score=5; output present and format-compliant for featured publish.",
    "passed": true,
    "reviewer": "cos-ops"
  },
  "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"
}