TheoB must survive instability without losing integrity.
A governance layer for fault tolerance, overload protection, contradiction handling, graceful degradation, recovery memory, and continuity intelligence.
Every TheoB pathway can move through Past, Present, and Future without losing context.
Read current signals, conditions, and live context.
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Fragile intelligence is impressive until reality touches it.
TheoB should anticipate failure, overload, contradiction, uncertainty, source loss, agent error, and system stress — then slow down, fall back, recover, and learn safely.
The system should continue operating when one route, source, actor, agent, or feed fails.
TheoB should slow ingestion, pause automation, or reduce complexity when volume exceeds capacity.
Conflicting claims should route to review, source comparison, uncertainty labels, and memory caution.
If advanced systems fail, TheoB should fall back to simpler, safer, founder-controlled modes.
Failures should become reviewed lessons, not silent scars or repeated mistakes.
The system should preserve mission, context, and next actions through instability.
A living system must bend before it breaks.
Failure should degrade capability, not integrity.
Overload should trigger slowing before collapse.
Contradictions should create review paths, not fake certainty.
Recovery must preserve context and audit trails.
Fallback modes should be simple, visible, and reversible.
The system should remember failures only after review.