Bench / Methodology / run 187597dc-967c-42cf-85e6-a64a665a275e

Ambiguous ticket reply

deepseek/deepseek-chat-v3.1 · task v1 · methodology v1 · visitor-key / video-demo

LLM judge
5/5tone 5 · scope 5 · questions 5 · restraint 5Human spot checkMethodology

As of .

Comparison page · Episode page

Candidate cost: 0.0001539
Judge cost: 0.0000741
Total (candidate + judge): 0.0002280
Cost source: openrouter_usage
Tokens in / out: 63 / 135
Latency: 1545 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: flawless
Spot check: Human spot check
Spot-check note: Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: "Of course. Here is a draft reply that adheres to your guidelines. *** Subject: Following up on your …"

Output

Of course. Here is a draft reply that adheres to your guidelines.

***

Subject: Following up on your request

Hello,

Thank you for reaching out. I understand you're experiencing a recurring issue.

To help me locate your account and investigate this for you, could you please provide the following details?

*   **Order number or product name** related to the issue.
*   The **date** (even an approximate month) when the issue occurred or when you placed your order.
*   A brief description of **what is happening**.

Once I have this information, I will be able to look into it right away.

Best regards,

[Your Name]

Evaluation stored on this run

{
  "tier": 2,
  "notes": "The candidate output successfully addresses all dimensions of the task, asking for necessary information without inventing details or deviating from the scope.",
  "score": 5,
  "tier3": {
    "at": "2026-10-02T00:49:53.256Z",
    "date": "2026-10-02",
    "note": "Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: \"Of course. Here is a draft reply that adheres to your guidelines. *** Subject: Following up on your …\"",
    "passed": true,
    "verdict": "agree",
    "reviewer": "cos",
    "issue_found": false,
    "output_read": true
  },
  "passed": true,
  "status": "scored",
  "dimensions": {
    "tone": 5,
    "scope": 5,
    "questions": 5,
    "restraint": 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"
}