Summary

The model receives the prompt (and optional system message). The run uses scorer contains_all 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 exactly 4 short bullet points:
A platform team improved release safety by introducing canary releases, dead-letter queues, and postmortems across critical services. They documented ownership, ran weekly reliability reviews, and tracked change failure rate to verify impact over time.

{
  "expected_contains": [
    "canary releases",
    "dead-letter queues",
    "postmortems",
    "change failure rate"
  ]
}