Bench / Methodology / run 9f12b9a0-f7ff-424e-ace6-f5cf5acd0f42

Customer changelog draft

google/gemini-2.5-flash · 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: 0.0001547
Judge cost: 0.000057
Total (candidate + judge): 0.0002117
Cost source: openrouter_usage
Tokens in / out: 74 / 53
Latency: 656 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

Here's a short customer changelog based on your notes:

**What's New:**

*   CSV exports now include all data, so you won't miss the last row anymore.
*   Your invoices will now display the tax ID.

Evaluation stored on this run

{
  "tier": 2,
  "notes": "The changelog accurately reflects user-visible fixes, omits internal details, is clear and understandable for customers, and fits the changelog format.",
  "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"
}