error-recovery

To hand off a failed AI agent task, use a structured recovery prompt under 500 words that includes the Task ID, story, what was attempted, what remains, and a summary of files changed. This guides the new agent to continue safely and efficiently.

The best way to recover from an AI agent context exhaustion error is to apply a structured recovery prompt template that summarizes what was attempted and what remains, ensuring the new agent avoids repeating work and references the current state.

To restart an AI workflow after a build failure without losing progress, use a build failure recovery prompt that includes the Task ID, file diffs, and current state. This ensures the next agent resumes safely without repeating work.

A recovery prompt for an AI task continuation should include the Task ID, story, what was attempted, what remains, and a summary of files changed. It must be under 500 words to guide the new agent efficiently.

Yes, you can use these recovery templates for unclear requirements and merge conflicts. They provide specific guardrails to adapt prompts to new tasks, maintaining progress by referencing task IDs, file diffs, and current state.

AI agent handoffs fail when requirements are unclear because the agent lacks sufficient context to proceed. Using a structured recovery prompt with a summary of what was attempted and what remains ensures the next agent can navigate the ambiguity safely.