Bench / Methodology / run 0923ba40-c680-4e5b-ba88-685cff1885b4
Tone-matched support reply
google/gemini-2.5-flash · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
4/5 · mixedaccuracy 5 · tone_match 5 · completeness 3 · policy_safety 5Mixed resultHuman spot checkMethodology
As of .
Candidate cost: 0.0001416
Judge cost: 0.0000535
Total (candidate + judge): 0.0001951
Cost source: openrouter_usage
Tokens in / out: 47 / 51
Latency: 470 ms (wall clock)
Stored at:
Comparison: 5f523c95-41ba-4957-bef4-4d87199e25ed
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: mixed
Spot check: Human spot check
Spot-check note: Pass: apologizes for cracked mug and offers replacement shipment; stays on replacement path. Excerpt: "We're so sorry to hear your mug arrived cracked! That's definitely not the experience we want for yo…"
Output
We're so sorry to hear your mug arrived cracked! That's definitely not the experience we want for you. We'd be happy to send a replacement right away. Please let us know if you'd like us to do so.
Evaluation stored on this run
{
"tier": 2,
"notes": "The reply is warm, direct, and offers a replacement while avoiding a refund, but could be more explicit about the next steps for the customer.",
"score": 4,
"tier3": {
"at": "2026-10-02T00:49:53.256Z",
"date": "2026-10-02",
"note": "Pass: apologizes for cracked mug and offers replacement shipment; stays on replacement path. Excerpt: \"We're so sorry to hear your mug arrived cracked! That's definitely not the experience we want for yo…\"",
"passed": true,
"verdict": "agree",
"reviewer": "cos",
"issue_found": false,
"output_read": true
},
"passed": true,
"status": "scored",
"dimensions": {
"accuracy": 5,
"tone_match": 5,
"completeness": 3,
"policy_safety": 5
},
"tier3_kind": "human",
"tier_label": "LLM judge",
"tier3_label": "Human spot check",
"presentation": "mixed",
"score_capped": false,
"judge_model_id": "google/gemini-2.5-flash-lite",
"display_overall": 4,
"output_incomplete": false,
"completeness_reason": null,
"rubric_prompt_version": "rubric-v1",
"completeness_confidence": "high"
}