Lesson 743 of 1596
Agent Edge Case Handling: When the Happy Path Breaks
Agents work great on happy paths and break on edge cases. Designing for edge cases is what separates demo agents from production.
Creators · Agentic AI · ~7 min read
The premise
Agent edge cases are inevitable; designing for them separates production-ready from demo-quality.
What AI does well here
- Catalog known edge cases (empty inputs, conflicting instructions, ambiguous requests)
- Design specific responses for each edge case category
- Surface unknown edge cases through production monitoring
- Test edge case handling with red-team methodology
What AI cannot do
- Anticipate every edge case
- Substitute happy-path testing for edge case design
- Eliminate the cost of edge case handling
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain edge cases in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Agent Edge Case Handling: When the Happy Path Breaks" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check production readiness against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
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