bmad-advanced-elicitation

Iteratively improve LLM output by selecting structured critique methods like Socratic questioning or red-team review from a method registry, repeatedly applying them to the generated text until the desired quality is reached.

LLM elicitation is a technique that pushes a language model to critically reconsider its most recent output by applying structured methods such as first principles or pre-mortems, resulting in enhanced and more accurate document section content.

Yes, you can use Socratic questioning and red-team review for interactive prompting by loading a registry of elicitation methods, choosing from an interactive option loop, and applying the selected techniques to critically refine the output.

The best way to apply critical refinement is to use an interactive option loop that presents method choices, allowing you to apply techniques like first principles or pre-mortems to the same content and return a finalized enhanced version when proceeding.

Yes, iterative refinement works with governance workflows by applying ordered execution steps and method-driven elicitation to enhance specific document sections, returning the improved content back to the invoking flow to replace the original output.