{
  "_campaign_id": "a2a-ironclaw-v0.6.3.1-r11",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-fast-non-reasoning",
  "for_c_level": "This run exposes a high-risk failure in the testing pipeline, blocking assessment of production readiness for v0.6.3.1; no evidence supports customer claims on memory reliability, worsening the risk posture from prior runs where at least partial data was available. Immediate fixes to CI reporting are essential before advancing.",
  "for_non_technical": "This test run aimed to check if AI agents can reliably share memories across a network, but it didn't work because no results were recorded. We couldn't confirm if the memory sharing is dependable or not. It's like trying to review a game but finding no scores or highlights.",
  "for_sme": "No per-scenario results available (scenarios array empty), with explicit reason 'no scenario reports recovered' despite 30 scenarios requested; likely root cause in harness (SHA 143aa05b1de4e02fee397d6341b18735821400d0) or DigitalOcean nyc3 deployment failing to persist logs/artifacts. Impacts all primitives (transport, framework, sharing) untestable; check CI workflow at https://github.com/alphaonedev/ai-memory-a2a-v0.6.3.1/actions/runs/25229528266 for probe failures.",
  "headline": "Campaign run failed due to no scenario reports recovered",
  "next_run_change": "Fix CI harness to ensure scenario reports are captured and uploaded before triggering the next campaign.",
  "verdict": "FAIL \u2014 no scenario reports recovered",
  "what_it_proved": "The testing infrastructure failed to capture or retrieve any scenario results, demonstrating a critical gap in CI/CD reliability rather than validating AI memory sharing functionality.",
  "what_it_tested": "The run requested 30 scenarios (S1, S1b, S2, S4-S6, S9-S18, S22-S25, S28-S42) covering transport protocols, framework integrations, and memory primitives in a 4-node ironclaw federation mesh, but executed none due to reporting failure."
}