Platform Audit · Self-Evolving Brain

The autonomous brain monitors, fixes, learns, and suggests new patches for novel failures. Everything below pulls live from the brain's machine-readable outputs. Refresh to see the latest.

Health live

Score from the most recent QA brain run, plus active regressions and chronic failures.

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Self-healing layer 1

Last 10 auto-fix attempts. Cache purges, workflow re-triggers, issue creates.

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Auto-discovered surfaces layer 2 · evolution

Public URLs the brain crawled that aren't currently in its check list. Candidates for future inclusion. Discovery runs nightly.

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Learned patterns layer 3 · evolution

Failure shapes the system has recognized over the last 100 runs. After enough samples, candidates promote into the live fix-pattern library.

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Anthropic suggestions layer 4 · evolution

For chronic novel failures (3+ consecutive runs, no matching pattern), the brain calls Claude with the failure context plus relevant code. The response becomes a draft PR labeled autonomous-brain. Daily-limited.

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Evolution timeline narrative

Last 30 events across the brain's stack. The autobiography of self-evolution.

QA run auto-fix discovery pattern learned Claude suggestion

Data freshness radar all 11 domains

Per-domain staleness: source table, newest record age vs SLA. Powered by /api/v1/freshness/radar. A breach here means an ingestion pipeline has stopped.

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DC Hub Media · autonomous worker self-monitoring

DC Hub Media's worker status — cadence, distribution, and the self-learning form-factor pick. Powered by /api/v1/marketing/worker-status.

Heartbeat surfaces

Per-source heartbeat checkpoints (the legacy freshness layer — radar above supersedes for the canonical data domains).

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Growth · week over week

Conversion funnel