AI Workflows Are Only as Reliable as the Way They Fail, Not Their Happy Path
alifcoder · x · 2026-10-04
@iamryanai argues that most AI workflows are designed for the happy path — a mistake. The real test isn't whether the workflow works when the AI gets everything right, but what happens when a tool call fails, the model misunderstands something, or a step produces bad output halfway through.
Core takeaway: a workflow is only as reliable as the way it fails — fault tolerance and graceful degradation matter more than the ideal path.
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