L1.06
Graceful Degradation of AI Failure
Cards in this group · 8
- L1.06.1On failure, fall back to a deterministic path
- L1.06.2The degradation order must be defined in advance
- L1.06.3Silent failure is more harmful than explicit failure
- L1.06.4Empty, wrong, and partial output are different failures and need different fallbacks
- L1.06.5Fluent wrong output is the most dangerous kind of failure; it trips no degradation
- L1.06.6Falling back to a deterministic path presupposes that path is maintained, not that it exists only during an incident
- L1.06.7Degradation must keep what the user already entered; starting over is the most common fallback failure
- L1.06.8Timeouts and rate limits are expected failures; their copy must be distinct from model error