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Glass-Box AI: Showing Model Confidence So People Trust It

aiuxneon

The problem is not the model

People mistrust AI when they cannot check it. I built a glass-box UI where every answer shows its work. I keep that habit of showing work on every screen where an agent acts, and I lay those screens out in Designing Interfaces That Act: The Agentic UI Guide.

Three primitives

Confidence Rails encode certainty in the border gradient. High is solid, low is dashed.

Undo Trails keep a ghost of every generative action. You scrub back in one click.

Intent Forks show 2 to 3 plausible next steps as cards when the model is unsure. You pick, it learns. I wire those three primitives into a running agent one stage at a time, and I take the stage order from AI Agent Development: From Prototype to Production.

How I built it

I stream tokens via SSE from a Neon edge worker, score hallucinations with a critic model, and log corrections for nightly tuning. Trust went up because control stayed with the human. The correction log holds user text, and I cover the scrub, approval and deletion rules around such a store in Why Your AI Agent Needs a Compliance Layer.

The project: Neural Interface Design System — Designing for Ambiguity

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Read enough? Put it to work

I use these methods on paid work. See what that costs.