{
  "_campaign_id": "a2a-ironclaw-v0.6.3.1-r24",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-0709",
  "for_c_level": "Basic sharing poses low risk and is production-viable for non-sensitive use; audit/policy failures elevate risk posture, blocking secure customer claims. Not ready for enterprise deployment; regressions in audit vs. prior runs, but federation stability improved. Prioritize fixes for v0.7 to enable compliant offerings.",
  "for_non_technical": "AI agents can reliably share and recall basic memories across a network of computers. However, advanced security features like checking for tampering or approving shared info are not working properly yet. This means simple sharing works, but extra protections need fixes.",
  "for_sme": "Audit primitives failed in S25 (verify rc=2, ok=false, empty hashes across nodes) and S26 (tamper not detected, restore failed); policy/notify impacted in S29 (404 on install/approve) and S30 (deserialization error, no fanout); probable root in incomplete v0.6.3.1 impl for SQLCipher (S31) and hook propagation (#318 in S24). Testbook probes S25-S30 highlight chain verification and federation bypass issues.",
  "headline": "Federated AI memory sharing reliable basics, fails on audit and policies.",
  "next_run_change": "Integrate SQLCipher for encrypted DB as baseline before retesting audit scenarios.",
  "verdict": "PARTIAL \u2014 35/50 scenarios green, audit/policy reds.",
  "what_it_proved": "Demonstrated solid replication and recall in basics, but audit verification, tamper detection, immutability, approvals, and notifications fail consistently.",
  "what_it_tested": "Exercised 42 core + 9 special scenarios covering HTTP transport, federation mesh, memory primitives like store/link/delete across 4 nodes."
}