The hard part of shipping AI apps is noticing when the agent is wrong
Top-Appeal4261 · reddit · 2026-07-28
The author says an AI website builder delivered the core of their app in an afternoon, but the real work began afterward: the agent would sometimes do the wrong thing silently, return a plausible answer, and keep going until a user reported the bug.
They spent most of the next few weeks building the boring reliability layer: logging every input and output, flagging low-confidence responses, and adding checks that alarm when the output shape is wrong. Their conclusion is that trust comes from observability, not from assuming the agent got smarter.
Related event: AI Agent Reality: Detecting Silent Errors is the Real Time Sink(2 posts)→
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