{
  "_campaign_id": "a2a-ironclaw-v0.6.2-patch2-r30-tls",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-0709",
  "for_c_level": "Risk posture remains low with full pass on all tested scenarios, indicating high production readiness for TLS-secured federations. Customer claims on reliable agent memory sharing are viable without caveats. No changes from prior clean runs, sustaining confidence in v0.6.2 stability.",
  "for_non_technical": "The test showed that different AI agents can reliably share and access each other's memories without issues. Everything worked as expected, meaning the system is stable for agents to remember and recall information together. No problems were found in how they communicate securely.",
  "for_sme": "All scenarios passed cleanly with no failure modes observed across primitives like /memory, /delete, /link, /consolidate, and others (S1-S42 subsets). No impacted primitives or root causes to report, as probes like hybrid recall (S18), bulk (S40), and delta queries (S39) all succeeded. Testbook coverage confirms robust federation under TLS.",
  "headline": "All 35 AI memory federation scenarios pass under TLS.",
  "next_run_change": "none \u2014 keep cadence.",
  "verdict": "PASS \u2014 35/35 scenarios green.",
  "what_it_proved": "Proved consistent and reliable memory sharing, synchronization, and feature functionality among AI agents in a secure multi-node setup without any failures or skips.",
  "what_it_tested": "Exercised 35 scenarios covering core memory operations like recall, deletion, linking, consolidation, and advanced features like pubsub, pending approvals, and bulk inserts across TLS transport in a 4-node federation mesh using HTTP primitives."
}