{
  "_campaign_id": "a2a-ironclaw-v0.6.3.1-r4",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-fast-non-reasoning",
  "for_c_level": "This run indicates a critical failure in the CI/CD pipeline, blocking assessment of production readiness for v0.6.3.1 and increasing risk of unvalidated deployments. Customer claims around reliable agent memory federation cannot be substantiated without successful tests. Compared to prior runs, this represents a regression in harness reliability, demanding immediate pipeline fixes before scaling.",
  "for_non_technical": "This test run was supposed to check if AI agents can reliably share memories with each other, but it didn't work at all. No tests ran, so we learned nothing about whether the memory sharing is dependable. It's like planning a big experiment but forgetting to turn on the equipment.",
  "for_sme": "The campaign requested 31 scenarios (S1, S1b, S2, S4-S6, S9-S18, S22-S25, S28-S42) but recovered zero reports, with overall_pass=false due to 'no scenario reports recovered'. No specific failure modes in primitives or frameworks observable; probable root cause is a harness issue (harness_sha=ec93ea6d988f5b4613c7f874a45cc8348e41fadc) failing to capture or execute tests in the 4-node mesh. Check CI workflow at https://github.com/alphaonedev/ai-memory-a2a-v0.6.3.1/actions/runs/25224497189 for logs.",
  "headline": "Campaign run failed: no scenario reports recovered",
  "next_run_change": "Debug and fix the test harness to ensure scenario reports are generated and recovered before re-running the campaign.",
  "verdict": "FAIL \u2014 no scenario reports recovered",
  "what_it_proved": "The campaign infrastructure failed to produce any scenario results, demonstrating a breakdown in the testing harness rather than validating AI memory functionality.",
  "what_it_tested": "Intended to exercise 31 scenarios across transport (federation mesh), framework (ironclaw agents), and primitives (memory sharing) in a 4-node DigitalOcean topology, but no tests executed successfully."
}