Plan graceful LLM failure states before launch
The idea Microsoft Guidelines for Human-AI Interaction gives LLM app teams a disciplined way to design beyond a clever prompt. Human-AI guidance treats error recovery as a normal interaction, not an exception. LLM apps need designed paths for retrieval misses, ambiguity, refusals, and tool failures. In ordinary software, users can often infer system behavior from stable controls. In LLM products, the same button may produce variable text, incomplete reasoning, or a tool action whose risk depends on context. That means the product must make intent, evidence, limits, and recovery visible. The mechanism is simple: name the user job, identify where…
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