Confidence Scoring

Confidence Scoring refers to a signal that estimates reliability using heuristics, retrieval strength, or model self-checks. Teams use it to diagnose retrieval failures, manage cost/latency, and prevent regressions. Operational maturity lets teams update prompts and models without destabilizing user-facing behavior. Useful signals include retrieval hit rate, citation coverage, latency by stage, and tool-call success rates. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI