Iterative Alignment Patterns
Iterative Alignment focuses on who drives the interaction and how control is exercised across turns. Instead of treating a prompt as a one-shot instruction, these patterns acknowledge that many useful tasks unfold over time through clarification, negotiation, and refinement. They are especially valuable in exploratory tasks, complex decision-making, and multi-turn workflows.
Meta Prompting
Uses one prompt to generate, refine, or optimize another prompt, allowing humans and models to collaborate on better prompts instead of writing them directly.
Interaction Language
Defines explicit rules for how inputs, symbols, and commands are interpreted, reducing ambiguity and shaping reasoning by establishing a shared interaction language between the user and the model.
Interaction Reversal
Explicitly flips control of the interaction so the model drives questioning and discovery until a task can be responsibly completed.