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heuristic-evaluation-ai

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Adapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.

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# Heuristic Evaluation for AI
Nielsen's 10 usability heuristics were designed for traditional software. AI products need adapted heuristics that address the unique challenges of probabilistic, generative, and conversational systems.
## Classic Heuristics, Adapted for AI
**1. Visibility of system status**
AI adaptation: The user should always know what the AI is doing, what it's working with, and how confident it is. Progress indicators for generation. Transparency about data sources.
**2. Match between system and real world**
AI adaptation: The AI should use language and concepts the user understands. Don't expose model internals. Frame capabilities in terms of user tasks, not technical features.
**3. User control and freedom**
AI adaptation: Users must be able to stop generation, undo AI actions, edit outputs, and override suggestions. AI autonomy should always have an exit.
**4. Consistency and standards**
AI adaptation: The AI should behave consistently across similar requests. Same input type should produce same output format. Persona should be stable.
**5. Error prevention**
AI adaptation: Design prompts and interfaces that guide users toward effective interactions. Suggest clarifications before producing low-quality output.
**6. Recognition rather than recall**
AI adaptation: Show users what the AI can do rather than requiring them to discover commands. Surface relevant capabilities contextually.
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