{
  "_campaign_id": "a2a-ironclaw-v3r13-tls-develop",
  "_generated_by": "scripts/analyze_run.py",
  "_model": "grok-4-0709",
  "for_c_level": "This run exposes high risk in our CI pipeline reliability, blocking validation of production readiness for AI memory federation features. Customer-facing claims about secure agent-to-agent memory sharing remain unproven, with no progress versus prior runs due to total harness failure. Prioritize debugging the test infrastructure to resume gating releases.",
  "for_non_technical": "The test was supposed to check if AI agents can reliably share memories with each other, but it didn't run at all. No results were produced, so we don't know if the agents share memories properly. This means the system for testing itself has a problem that needs fixing.",
  "for_sme": "The campaign aborted without recovering any scenario reports, impacting all requested scenarios (1,1b,2,4-6,9-18,22-25,28-42) across transport (TLS), framework (federation mesh), and primitives (memory sharing). Probable root cause is a harness failure in report collection, possibly tied to CI workflow (harness_sha: 905768737e14834dc62e20b0931a529f432093a6) or infra provisioning on DigitalOcean nyc3. No specific S# or F# failures observable due to zero reports; inspect workflow logs at https://github.com/alphaonedev/ai-memory-ai2ai-gate/actions/runs/24790798318 for diagnostics.",
  "headline": "Campaign failed with no scenario reports recovered.",
  "next_run_change": "Debug and fix the report recovery mechanism in the CI harness to ensure scenario outputs are captured and aggregated.",
  "verdict": "FAIL \u2014 no scenario reports recovered",
  "what_it_proved": "The run proved that the testing harness or reporting mechanism failed entirely, demonstrating no insights into agent memory sharing reliability.",
  "what_it_tested": "No scenarios were exercised despite requesting 35 scenarios covering basic to advanced memory sharing across TLS transport in a 4-node federation mesh."
}