Give agents a structured way to resume after failed tools, approval timeouts, user corrections, stale context, and human handoff outcomes.
Recovery prompt software sits between exception memory and the next agent run. It packages the failure context into a clean instruction so the agent can continue safely.
A retry repeats the same path. A recovery prompt tells the agent how the context changed and which path should be avoided. That matters when agents work through text, browser tools, websites, and handoffs.
Resume text message AI assistant tasks after unclear replies or missed approvals.
Use computer-use cache context when browser actions fail.
Recover agent website workflows after broken assets, links, or deploy checks.
State the attempted action, blocking condition, and most recent evidence so the agent does not reconstruct the story from chat history.
List user corrections, expired approvals, failed tools, stale data, and human handoff outcomes that change the route.
Name the path that should not be repeated: a tool, source, public action, timing assumption, or unsupported claim.
Tell the agent whether to draft, retry with constraints, ask a narrower question, route to a human, or stop and report.
Recovery prompts are most useful when agents cross channels and context can fall out of view.
Show the user the recovery path when a text approval or clarification goes stale.
Use cached context and avoid repeating brittle browser actions.
Resume from failed checks without losing source, asset, and release context.
Convert the human result into a structured instruction for the agent's next run.
Is this just prompt engineering?
No. The prompt is generated from structured recovery evidence and should feed product routing, not just a chat response.
What should the first template cover?
Start with failed tools or approval timeouts because they are frequent and easy to measure.
Where does Supers fit?
Supers is relevant for personal AI agents spanning text, browser automation, publishing, and human escalation.
Recovery prompt software turns exceptions into a usable next-step instruction. It helps personal AI agents continue with context instead of blindly retrying or abandoning work.
Start with one failure type, one template, and one workflow. Then expand recovery prompts into the channels where agent work actually stalls.