bmad-advanced-elicitation

Iteratively refine LLM outputs by applying a structured, multi-step elicitation workflow that pushes the model to reconsider and correct gaps, ensuring repeatable content improvements across drafts.

Structured elicitation is a multi-step process that systematically revises LLM outputs through stepwise prompts and feedback loops, maintaining context awareness while enhancing clarity and accuracy.

Yes, you can improve technical documentation using an iterative LLM workflow that applies structured elicitation to expose and correct gaps, ensuring precise language and robustness across drafts.

Yes, context-aware elicitation maintains alignment with prior context while systematically revising outputs, ensuring the enhanced content evolves clearly and accurately without losing the original intent.

The best way to expose reasoning gaps is to push the LLM to reconsider its recent output through a structured, iterative elicitation workflow that applies stepwise prompts and feedback loops.

Avoid multi-step elicitation when your task requires single-shot responses or when the overhead of iterative refinement outweighs the need for highly precise, robust document improvements.