Summary Quality

The model receives the prompt (and optional system message). The run uses scorer contains_any with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Summarize in 2 short bullet points:
Quality improves when teams define clear acceptance criteria and track defects over time.

{
  "expected_contains": [
    "acceptance criteria",
    "defects",
    "quality"
  ]
}