Ai product design
Skill Dragoon0x/everything-design-taste/skills/ai-product-design
A taste system for AI agents. 288 skills, 80 agents, 12 rules, and 8 hooks that turn generic AI output into work with genuine design quality. Anti-slop detection, typography craft, color systems, brand voice, product strategy, and 50+ specialized reviewers across UI, industry, platform, and content domains.
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Designing AI-powered features, managing user expectations, and AI transparency.
SKILL.md
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AI Product Design
Core Principles
- Set expectations: Tell users what AI can and cannot do
- Show confidence: Indicate AI's certainty level when relevant
- Allow override: Users can always correct or override AI decisions
- Be transparent: Show how AI arrived at its output when possible
- 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