{
  "_campaign_id": "a2a-ironclaw-v0.6.2-patch2-r30-off",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-0709",
  "for_c_level": "This clean run indicates low operational risk for core memory sharing in non-secure environments, pushing v0.6.2 closer to production readiness. Customer-facing claims of seamless AI-to-AI collaboration are strongly supported by 34 passing scenarios. No regressions from prior runs, maintaining momentum toward release.",
  "for_non_technical": "The test confirmed that AI agents can reliably share and remember information with each other across different computers. There were no problems in any of the situations tested, meaning the system works well for group memory sharing. This builds confidence that agents can collaborate effectively without losing or mixing up data.",
  "for_sme": "All scenarios passed without failures, validating primitives including basic write/recall (S1, S1b), consolidation (S5), contradiction detection (S6), deletion (S10), linking (S11), partition recovery (S14), hybrid search (S18), bulk insert (S40), and diagnostics (S30, S39). No impacted areas or root causes; the 4-node mesh handled HTTP traffic flawlessly across all probes. Testbook coverage was comprehensive for federation mesh topology.",
  "headline": "All 34 memory sharing scenarios passed in 4-node mesh without TLS.",
  "next_run_change": "none \u2014 keep cadence.",
  "verdict": "PASS \u2014 34/34 scenarios green.",
  "what_it_proved": "Demonstrated reliable propagation, recall, and consistency of memories across agents and nodes, with full functionality for advanced features like partitioning recovery and namespace management.",
  "what_it_tested": "Tested 34 scenarios exercising basic sharing, linking, deletion, recovery, hybrid search, bulk ops, and diagnostics across HTTP transport in a federated 4-node setup without TLS, covering core primitives like write, recall, consolidate, and contradict."
}