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During playbook review, the Agent suggests an edit that’s close, but not quite there. Instead of accepting or rejecting it outright, you can use an in-line request to fine-tune the suggestion and get exactly what you need.
In-line requests allow you to add extra context, tweak the fallback, or clarify intent without starting over.

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How it works

When you receive an AI suggestion that needs refinement:
  1. Identify the issue - The suggestion is close but missing something specific
  2. Add your guidance - Use an in-line request to provide additional context or direction
  3. Get refined output - The Agent picks up your feedback immediately and regenerates a sharper, more aligned suggestion

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Key benefits

One click refinement

Get a better amendment with just one interaction

Immediate feedback

The Agent responds instantly to your guidance

Contextual improvements

Add specific context to sharpen the AI’s focus

Iterative perfection

Keep refining until you get exactly what you need

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Best practices

Use in-line requests when the AI suggestion is directionally correct but needs specific adjustments rather than a complete rewrite.
  • Be specific - Provide clear, actionable feedback about what needs to change
  • Add context - Include relevant business or legal context that might be missing
  • Clarify intent - Explain the underlying goal or concern driving your request
  • Use examples - Reference specific language or approaches when helpful
  • Document Review - Learn about the full review process
  • Playbooks - Understand how playbooks guide AI suggestions
  • Agent - Explore all Agent capabilities
In-line requests work seamlessly with all playbook-based reviews, making it easy to get precise, context-aware suggestions.