Reliability Testing
Learn to ensure AI agents perform consistently and handle failures gracefully
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0 / 5 completedHandling Edge Cases
Edge cases are inputs that fall outside normal operating parameters: empty strings, special characters, extreme values, ambiguous phrasing, or contradictory requirements. Real users don't follow your happy path—they make typos, ask unclear questions, and push boundaries. Edge case handling separates robust agents from fragile demos.
The 80/20 Problem
80% of development time goes to handling the 20% of inputs that are edge cases. But that 20% determines whether users trust your agent or abandon it after the first failure.
Real Example: A calendar agent worked perfectly for "Schedule meeting at 2pm" but crashed on "Schedule meeting at 2" (missing AM/PM). Users judge agents by their worst behavior, not their average.
Interactive: Edge Case Explorer
Test different edge cases and see how agents should handle them:
Create a curated collection of 50-100 edge cases covering: empty/null values, extreme lengths, special characters, ambiguous language, contradictions, typos, and out-of-scope requests. Run this suite on every code change to catch regressions early.
{"input": "", "expect": "error_message"},
{"input": " ", "expect": "clarification"},
{"input": "very "*1000, "expect": "truncate_or_warn"}
]