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Webinar – Lifting the Lid on AI Agents: Exposing Performance Through Evals
Jan 21, 2025
AI agents are beginning to transform industries from customer service to manufacturing, but understanding and improving agent decision-making remains a major challenge.
Agents often operate as black boxes, making tool selections — i.e., choosing which APIs, knowledge bases, or even other models to use — without clear reasoning. Traditional debugging methods fall short because we can’t fully decode these choices. Instead, we must expose agent behavior through structured evaluations, using data-driven diagnostics to assess performance and refine decision-making.
Watch our webinar to learn:
Why agent tool selection is opaque – How and why AI agents make decisions without explicit transparency.
How to evaluate tool selection – Using systematic evaluations to understand both individual tool effectiveness and system-wide performance.
Common pitfalls and real-world case studies – Where agentic workflows break down and how industries are applying these insights in areas like AI-driven customer support, autonomous research, and industrial automation.
Ways to optimize decision-making through evaluation – How feedback loops, error tracing, and performance benchmarking drive continuous improvements.
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