Technology
agent evaluation
Automated, span-level evaluation to score every tool call, reasoning step, and multi-turn decision your AI agents make before they hit production.
AI agents do not fail like traditional LLMs: they make a sequence of autonomous decisions where a single bad tool call or warped reasoning step cascades into a total system failure. Evaluating only the final output is like grading a math exam by looking solely at the last number. Confident AI (the enterprise platform powering the open-source DeepEval framework) solves this by scoring the entire trajectory. It tracks and evaluates intermediate steps, tool parameters, and multi-turn trajectories using over 50 research-backed metrics. By integrating directly into your CI/CD pipeline, the platform replaces subjective vibe checks with rigorous, automated regression testing, helping teams ship reliable autonomous agents with production-grade confidence.
What builders pair with agent evaluation
Projects using both technologies. Select a pairing to see a project.
Pairing: agentic systems
Testing Probabilistic Agentic Systems
Pairing: AI
Testing Probabilistic Agentic Systems
Pairing: LLM
Testing Probabilistic Agentic Systems
Pairing: probabilistic systems
Testing Probabilistic Agentic Systems
Recent Talks & Demos
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