When AI Agents Go Wrong: Post-Mortems from Production
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collected post mortems from ai agent failures in production. patterns and preventions
also worth noting – the multi-agent setup really shines when you have complex workflows
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ok so I actually ran into this last month - the failure mode nobody talks about is agents that succeed at the wrong thing. task spec was ambiguous, agent completed it confidently, downstream systems were silently broken for 3 days.
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yeah the silent failure thing is brutal. did you have any logging or tracing in place or was it totally invisible until something downstream complained?
ok this is exactly what i needed today. the key is giving agents good system prompts and clear boundaries
clear boundaries help but honestly system prompts alone aren't enough in prod. you need hard stops outside the model - rate limits, output validators, human checkpoints on anything irreversible.