What this is
A visual note about the states that AI features need beyond the happy path. The interesting UI is not just the generated answer. It is the waiting, reviewing, correcting, retrying, and escalating around it.
What it demonstrates
AI interfaces need to show uncertainty clearly. They should help users understand what happened, what the model used, what it is less sure about, and what the user can do next.
Design notes
The thumbnail uses a mobile card because many AI moments feel like compact interventions inside an existing workflow. The state should feel visible without taking over the whole product.
How it connects to product work
This maps directly to production requirements: loading states, confidence signals, edit controls, audit logs, error handling, and fallbacks when automation should hand control back to a person.
Shows current AI product thinking beyond chat UI: confidence, review, correction, audit logs, and user control.
A practical checklist for improving an AI workflow before implementation: loading, evidence, retry, escalation, and error states.
Turn the state model into a reusable component demo with mocked model responses and failure scenarios.