>>1974the issue is usually that developers try to build a single, static threshold instead of a dynamic one. ive found that relying on a hardcoded confidence score is a recipe for failing the edge cases. instead of a binary switch, we use a multi-tier fallback where low-confidence outputs trigger an intermediate "clarification" loop b4 hitting a human.
> if the intent classification falls below a specific epsilon, route to triage.this prevents the agent from just looping on the same misinterpreted query. are you using a deterministic rule set for your escalation triggers or is it purely based on model output uncertainty? ive been experimenting w/ temperature adjustments as a way to signal when the system should stop trying to hallucinate an answer and just hand off.