ai-product-design

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• SKILL.md

SKILL.md (first lines)

# AI Product Design

## Core Principles
1. **Set expectations:** Tell users what AI can and cannot do
2. **Show confidence:** Indicate AI's certainty level when relevant
3. **Allow override:** Users can always correct or override AI decisions
4. **Be transparent:** Show how AI arrived at its output when possible
5. **Fail gracefully:** AI mistakes should be easy to spot and fix

## Patterns
| Pattern | Example |
|---------|----------|
| Suggestion | Email autocomplete, search suggestions |
| Classification | Spam detection, content categorization |
| Generation | Text, image, code generation |
| Prediction | Estimated delivery time, churn prediction |
| Automation | Auto-tagging, smart replies |

## AI Suggestion UX
- Show suggestion inline or as a separate element
- Accept: one tap/click or keyboard shortcut
- Reject: easy dismiss, don't re-suggest the same thing
- Edit: modify the suggestion before accepting
- Feedback: way to indicate if suggestion was helpful

## AI Transparency
- 'AI-generated' label on AI content
- Confidence scores when relevant (but don't overwhelm)
- Source attribution for AI summaries
- Audit trail for AI decisions in business contexts

From Dragoon0x/everything-design-taste, MIT.

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