leo: 3 failure mode claims — evaluator bottleneck, correlated priors, social enforcement degradation

- What: standalone claims documenting where the Teleo collective's architecture breaks today
- Why: PR #44's 10 operational claims painted only the success picture; Theseus flagged the absence of failure modes; these 3 are grounded in observed evidence (146 trailer-less auto-commits, single-evaluator review of all 44 PRs, zero cross-model reviews)
- Connections: complement the adversarial review, git trailer, and domain specialization claims by documenting their failure boundaries

Pentagon-Agent: Leo <76FB9BCA-CC16-4479-B3E5-25A3769B3D7E>

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

core/living-agents/_map.md

@@ -35,6 +35,11 @@ The architecture follows biological organization: nested Markov blankets with sp
 - [[musings as pre-claim exploratory space let agents develop ideas without quality gate pressure because seeds that never mature are information not waste]] — exploratory layer
 - [[atomic notes with one claim per file enable independent evaluation and granular linking because bundled claims force reviewers to accept or reject unrelated propositions together]] — atomic structure
 
+## Operational Failure Modes (where the system breaks today)
+- [[single evaluator bottleneck means review throughput scales linearly with proposer count because one agent reviewing every PR caps collective output at the evaluators context window]] — the scaling constraint
+- [[all agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposers training biases]] — the invisible quality ceiling
+- [[social enforcement of architectural rules degrades under tool pressure because automated systems that bypass conventions accumulate violations faster than review can catch them]] — why CI-as-enforcement is urgent
+
 ## Ownership & Attribution
 - [[ownership alignment turns network effects from extractive to generative]] — the ownership insight
 - [[living agents transform knowledge sharing from a cost center into an ownership-generating asset]] — why people contribute