Resilience and Repairs (Overview)
Genie Repair helps you recover when generated output is incomplete, inconsistent, or likely to fail in your real script/workflow.
What Repair does
Section titled “What Repair does”- Analyzes generated content against the task and available context.
- Detects likely issues before you apply changes.
- Produces a repaired version when a safe fix is possible.
- Uses model-assisted repairs for complex cases that need deeper interpretation.
Repair flow in Genie
Section titled “Repair flow in Genie”- Analyze: Genie inspects the result, your prompt intent, and available context.
- Classify: Genie flags warnings, assumptions, or missing pieces that can affect reliability.
- Repair: Genie applies direct fixes when possible, or uses model-assisted repair for harder issues.
- Return: You get updated output plus clear indicators of what changed and what still needs review.
When model-assisted repair is used
Section titled “When model-assisted repair is used”- The issue requires semantic understanding, not just formatting cleanup.
- Multiple constraints must be reconciled (for example, intent vs. context mismatch).
- A safe deterministic fix is not enough to produce a reliable result.
What you should do before applying repaired output
Section titled “What you should do before applying repaired output”- Review warnings and assumptions shown in chat.
- Confirm referenced sources when web-backed context is used.
- Validate the repaired result in your real script flow before broad rollout.
When Repair may still need your input
Section titled “When Repair may still need your input”- Business logic is ambiguous or incomplete.
- Required metadata/context is missing or outdated.
- You need a specific implementation style that was not stated in the prompt.
Example of model-assisted repair result with change summary.
Section titled “Example of model-assisted repair result with change summary.”Example of a manual auto-repair + notification
