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Neural Interface Design System — Designing for Ambiguity

I design for AI that predicts, not clicks. Three primitives make uncertainty visible: Confidence Rails, Undo Trails and Intent Forks. Streaming LLM with tool-use, speculative decoding under 300ms, critic model scores hallucinations. UI subscribes to token stream via SSE from Neon. Result: error recovery down 42 percent, perceived latency down 60 percent.

How I built it: Designing Interfaces That Act: The Agentic UI Guide
Design SystemaiUINeonFramer Motion

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