bmad-advanced-elicitation

To apply Socratic method critique to refine an LLM output, provide your recent output and request an advanced elicitation cycle. The system uses iterative, method-driven questioning to surface gaps, biases, and logical flaws for structured refinement.

Advanced elicitation is a conversation design technique that pushes the LLM to reconsider and refine its recent output. It improves prompt engineering by applying structured critique methods like first principles and red team evaluations to ensure iterative, validated improvements.

You can evaluate AI generated content by mentioning red team or pre-mortem critique methods in your prompt. This triggers a method-driven refinement process that stress-tests the output for vulnerabilities, biases, and potential failure points.

Yes, you can use first principles thinking to iteratively refine LLM responses by requesting this specific critique method. The system breaks down recent outputs into fundamental truths, re-evaluating the logic to produce sharper, validated content.

Use structured critique methods instead of standard prompting when you need deeper, sharper refinement of recent outputs. If your task requires surfacing hidden biases, validating logic, or applying specific frameworks like Socratic questioning, this method-driven approach is necessary.

Output refinement does not require advanced prompt engineering knowledge to start. You simply provide your latest output and request a critique method like pre-mortem or red team analysis to initiate the guided, iterative refinement process.