From the course: Building Agentic AI Systems
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Testing strategies
From the course: Building Agentic AI Systems
Testing strategies
- While your IT team uses this framework to develop AI agents, and assemble the overall system, it's important for you to plan for robust testing right from the start. Building intelligent workflows, and assigning agent roles is only part of the process. Ensuring those agents function reliably, and safely within a complex interactive environment requires thoughtful and thorough validation. Begin by testing each agent independently to confirm that it performs its assigned tasks under various conditions. Once that is in place, shift your focus to integration testing. This is where you evaluate how agents communicate, collaborate, and coordinate with one another. Watch for any breakdowns in data exchange, rule confusion or conflicting actions. These types of tests help ensure that your agents behave predictably when the system grows in complexity. Beyond functional testing, you should also plan for red teaming, where a dedicated group actively probes the system for loopholes, unexpected…
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