Dev Tools · 14h ago
Why 90% of AI Automations Fail in Production
Building AI demos is easy, but production workflows break due to API failures, sensitive requests, and lack of boundaries. The author shares lessons from building AgenticScales, emphasizing retries, human handoffs for refunds or legal issues, and splitting actions into low-risk automated and sensitive manual lanes. These practices prevent silent failures and reduce risk.
Meridian48 take
The article's 90% failure rate is anecdotal, but its core advice—design for failure, not just success—is a crucial reminder that production AI is about reliability, not just prompt engineering.
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Why 90% of AI Automations Break in Production (Lessons From Building a Real AI Workflow) →
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