Uncomfortable truth: Is anyone else finding AI agents way too unreliable for real workflows?

Reddit r/AI_Agents News

Summary

A practitioner shares frustration with AI agents' unreliability in multi-step workflows, citing high production failure rates (70-95%) and widespread distrust among knowledge workers due to drift and silent failures.

I've been trying out/building with AI agents, and honestly, the reliability is driving me crazy. For anything multi-step, it feels like a roll of the dice whether it completes the task right or quietly breaks on step three. Are you guys actually running autonomous agents in production for real work, or is everyone just hitting the same wall of non-determinism? does anyone else experience the drift and silent failures? I came across a stat: Current AI agents are widely considered unreliable for autonomous, multi-step tasks. Production failure rates range from 70% to 95%, and roughly 62% of knowledge workers view them as untrustworthy because compounding errors and silent failures frequently disrupt long-horizon workflows
Original Article

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