A source of truth for designing, documenting, and evolving human–AI interaction patterns across AI-native products and AI-powered features.

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Created by Khoshnaz Kazemian

I’m a product designer exploring how AI-native products should feel, behave, and collaborate with people, beyond simply adding another AI button to the interface.

This Behavioral Design System is an early, evolving resource for designers, builders, and teams who care about making human–AI interaction clearer, safer, and more useful.

If this sparks something, come say hi.

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Why I started this

AI is quickly becoming part of almost every product experience.

But while we already have design systems for buttons, layouts, components, tokens, and UI states, we don’t yet have the same shared language for AI behavior.

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This system helps teams answer questions like:

• How should AI ask for clarification?
• When should AI suggest instead of act?
• When does a user need to approve something?
• How do we show uncertainty without overwhelming people?
• How do we help users recover when AI gets it wrong?
• How do we make human and AI responsibility clear? </aside>

These questions show up again and again in AI-powered products.

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And without a shared place to define these patterns, a few things can easily happen:

• Teams reinvent similar AI behaviors again and again
• AI features feel inconsistent across the product
• Users may not understand what the AI can or cannot do
• Trust can break when AI is uncertain, wrong, or too autonomous
• Failure handling becomes inconsistent </aside>

That’s the gap this system is trying to explore. Not another UI library. More like a shared behavior layer for human–AI interaction.

What I mean by a “behavioral” design system

A traditional design system helps teams make interfaces consistent.