bmad-advanced-elicitation

You refine LLM outputs through iterative prompt engineering by applying a deterministic elicitation workflow that pushes the model to reconsider and improve its recent response across multiple validation checkpoints.

Iterative elicitation for long-form responses is a multi-step refinement process that enforces mandatory validation cycles, ensuring the LLM evaluates and revises its output to enhance overall quality and accuracy.

You validate complex instructions and prevent prompt injection during elicitation by using a workflow that enforces safety checks at validation checkpoints, avoiding system prompt leakage while refining outputs.

The best way to force an LLM to reconsider its recent output is to use a structured elicitation workflow with a fixed sequence of refinement steps, supporting multiple cycles of evaluation and revision.

Yes, iterative elicitation works for error-prone LLM outputs by applying deterministic multi-step prompting that enforces mandatory validation checkpoints to catch and correct errors during the refinement cycles.