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AI Generation Progress and Recovery

Define staged progress, cancel/retry, partial results, failure recovery, and status announcements for AI generation, transcoding, import, long-running jobs, and queues.

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Prompt Lines8

Reusable instruction lines for generation.

Author@Interface Lab

Interaction

Skill Directive

Description

Define staged progress, cancel/retry, partial results, failure recovery, and status announcements for AI generation, transcoding, import, long-running jobs, and queues.

TagsInteraction

Skill Prompt

- Inputs must include task type, estimated duration, whether percentage is knowable, stage list, queue status, cancel support, background continuation, retryability, and whether partial results can be shown.
- Choose the progress mode first: lightweight loading under five seconds; determinate progress when estimable; stage checklist when percentage is unknown but stages exist; queue/background status for long tasks.
- The generation area must show current stage, confirmation that the request was received, what the user can still do, cancel/background/retry paths, and concrete recovery guidance after failure.
- AI generation must not rely only on a spinner or magical copy; when streaming is possible, show partial results or a skeleton scaffold, and when it is not, show stages, example output, or the structure being prepared.
- Accessible status must stay in sync: announce key stage changes with visible text and suitable `role="status"`/live regions; errors belong in focusable inline or summary positions, not only animation or toast.
- Failure branches distinguish quota, network, policy/safety, timeout, invalid input, and server error; each gives a next action instead of a generic generation failed message.
- Deliver a state machine covering idle, queued, running, streaming, partial, success, cancelled, retrying, error, and expired, plus UI copy, buttons, ARIA, fallback, and verification checklist.
- Sources referenced: Material progress indicators, Carbon loading pattern, SAP Fiori AI progress indicators, W3C Status Messages, and MDN live regions. The content is rewritten as Interface Lab AI-progress skill guidance.

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