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progressive-disclosure

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Revealing AI capability gradually to match user mental models.

skills/model-interaction-design/progressive-disclosure/SKILL.md

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# Progressive Disclosure
Users don't understand what AI can do. Progressive disclosure is how you reveal capabilities at the right pace — preventing both overwhelm and underuse.
## The Mental Model Gap
Users arrive with mental models shaped by previous technology. They may:
- Treat the AI like a search engine (keyword queries)
- Treat it like a form (expecting rigid structure)
- Underestimate what it can do (asking for less than it offers)
- Overestimate what it can do (expecting perfection)
Progressive disclosure bridges the gap between what users think the AI does and what it actually does.
## Disclosure Strategies
- **On-demand hints**: Show capability suggestions contextually ("Did you know you can also ask me to...")
- **Escalating examples**: Start with simple use cases, reveal complex ones as the user gains confidence
- **Feature graduation**: Unlock advanced features after the user demonstrates comfort with basics
- **Contextual teaching**: When the user attempts something inefficiently, show a better approach
- **Capability boundaries**: Clearly communicate what the AI cannot do, not just what it can
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