This portfolio sample shows how I evaluate AI agents and automated workflows to find reliability ...This portfolio sample shows how I evaluate AI agents and automated workflows to find reliability ...
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This portfolio sample shows how I evaluate AI agents and automated workflows to find reliability problems, broken logic, and weak edge-case handling. I review whether the system completes the intended task, uses tools correctly, follows instructions, handles ambiguity, and produces an output that can actually be trusted.
The work focuses on identifying failure points before they become real user problems, including incomplete task execution, incorrect assumptions, workflow dead ends, hallucinations, and verification gaps. This is a portfolio demonstration of my AI agent evaluation and red-teaming work. No confidential client information is included.
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Marko's avatar
Great approach! Testing AI agents for reliability, edge cases, and failure points is essential for building trustworthy production systems. 🚀
Nancy's avatar
Thanks, Marko, exactly. I’ve found that the most useful testing is usually around edge cases, handoffs, and the points where a workflow looks fine in the happy path but breaks under real use.
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