consumer-ai-anticipation-layer

Map your product's anticipation surface by listing available context, possible proactive actions, required trust level, and error cost. Then design three phases—Read/Suggest, Draft, and Act with confirmation—each with permission UX, judgment rules, and kill signals.

The trust ladder is a progression of permission levels: Read, Suggest, Draft, Act with confirmation, and Act autonomously. Each phase of proactive features must earn the trust required for the next, so products should not jump to autonomous actions before earlier phases succeed.

Define explicit judgment rules with concrete signals, maximum daily frequency caps, and a false-positive tolerance threshold. Include a kill signal for every feature so the team knows when to dial it back, and default to doing less rather than more.

Avoid autonomous actions when the product sits at an early trust ladder step, when model reliability is insufficient for the action's error cost, or when actions create legal commitments for the user. Consequential actions should require explicit per-action approval.

It needs a description of what the product does today, how users interact with it, what context it accesses, what actions it can take, its current trust ladder position, top user use cases, common complaints, and any failed proactive experiments.