The cheapest model call is the one you don't make
A developer built an alert triage co-pilot that prioritizes efficiency by intelligently bypassing large language model calls when possible. The system uses a memory layer, Hindsight, to store and recall past incident data, keyed by a structured fingerprint of the incoming alert. If a new alert strongly matches a previous incident with a consistent triage decision and meets other confidence thresholds, the system avoids calling a costly LLM, saving resources and reducing latency. AI
IMPACT Demonstrates a practical approach to cost optimization in AI applications by intelligently routing or bypassing LLM calls.