What problem does it solve? It answers questions about LLM spend, quality changes, and workflow issues using current Caveman Cloud evidence instead of guesses, while keeping measured cost, inferred headroom, and verified savings strictly separate. ## Core Features & Use Cases - Baseline reporting: Loads overview, costs, Cave Score, workflows, and verified savings reports scoped to the selected project. - Trace-based investigation: Searches and inspects bounded trace cohorts by workflow, model, session, latency, errors, and compression to test explanations against control windows. - Structured evidence report: Produces findings with cited trace ids, time windows, unproven hypotheses, and a next read-only check. - Use Case: When LLM costs spike, use it to identify which workflow or model mix drove the change, compare against a control window, and report verified savings separately from inferred headroom. ## Quick Start Ask the assistant to review what Caveman found about this project's LLM costs and failing workflows over the past week.