Instructions
AI systems fail in ways that traditional software doesn't. A conventional app either works or throws an error. An AI copilot can produce something that looks correct but is wrong, something that's technically responsive but completely unhelpful, or something that seems confident while being hallucinated. These silent failures are the ones that damage user trust most — because users often don't notice them immediately.
The common mistake is building for the happy path and treating failure handling as something to think about later. In practice, your failure modes will determine how much users trust your product and how sustainable it is to operate. A copilot that handles failures gracefully — acknowledging uncertainty, asking for clarification, declining to speculate — will hol...
