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What Actually Breaks When You Put AI Agents In Front Of Real Customers

I have spent the last year building AI automation systems for small businesses. Chatbots, multi agent workflows, the kind of stuff that looks great in a demo and then meets an actual customer who types "idk just fix it" and breaks everything. Most articles about AI agents talk about architecture.

  • Real users often provide contradictory, half-formed inputs that break AI agents.
  • Explicitly instructing the model to say "I don't know" when uncertain is crucial.
  • Maintenance is the most significant challenge due to frequent API and model changes.

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