bmad-advanced-elicitation

You refine AI output by applying structured critique methods like first-principles analysis and Socratic questioning. This process challenges the initial response, identifies logical gaps, and generates a sharper, more robust revision of your content.

The best way to run a red-team evaluation is to apply structured critical review to your recent AI-generated content. This method assesses risk awareness and tests logical completeness before you accept or share the final deliverable.

To apply pre-mortem checks, you select a pre-mortem elicitation method to critique the existing text. This evaluates potential failures in the plan or analysis, allowing you to revise and strengthen the reasoning before finalizing.

Yes, you can use Socratic questioning to critique a specific section. The refinement process supports targeted analysis of individual responses or deliverable sections, ensuring clearer reasoning and stronger overall quality.

Yes, the elicitation method preserves your original content during refinement. It requires user-controlled acceptance of proposed revisions, meaning your initial text remains intact until you explicitly approve the improved version.

You should use iterative elicitation when a first draft needs deeper critique, stronger quality, or clearer reasoning. It is essential for improving an answer's logic, completeness, and risk awareness before sharing it.