Trust & evidence

How the model earns the reader's belief.

Confidence is a typographic decision. Provenance is a layout decision. The interfaces that earn trust the fastest are the ones that let the reader audit the answer at their own pace, without leaving the page.

5 patterns

The reasoning trace
Showing how the model got there, without overwhelming.
12 min
Data provenance
Linking every claim to the exact row it came from.
11 min
The counterfactual toggle
Letting the user ask 'what if that input changed?'
10 min
Hedge calibration
Saying 'probably' in a way the reader can actually parse.
9 min
Answer pinning
Freezing a turn so the model can't rewrite it later.
8 min

Other collections

The prompt surfaceHow the box asks for intent.
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The responseHow the model performs the answer.
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Agentic flowsHow the model shows its work, in the world.
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Memory & contextWhat the model carries with it.
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Multimodal & artifactsWhen chat isn't enough.
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CollaborationWhen the session has more than one human in it.
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OrchestrationHow many agents, at what cadence, inside what ceiling.
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Dev & evalThe surfaces that make AI products debuggable.
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