The framework reviews each idea, prompt, or provided input against practical criteria: clarity, fit, usability, risk, and the strength of supporting evidence. It then turns those signals into guidance by weighing what is known, what is assumed, and what still needs research before a stronger recommendation can be made.
How the method works
See how ideas, prompts, and provided inputs are evaluated through a research-led framework with clear assumptions and open questions.
Read guideHow the method works
Evaluation criteria
Each input is checked for purpose, specificity, constraints, and whether the request is complete enough to guide action.
Input handling
Ideas, prompts, and provided context are normalized into the same decision frame so the method can compare their usefulness consistently.
Next-step routing
The method routes users toward the most useful follow-up: refine the prompt, compare the framing, or gather more evidence before deciding.
Where uncertainty stays visible
When evidence is thin, the method does not hide the gap; it records the open question, marks the assumption behind the guidance, and points to the next research or comparison that would reduce uncertainty. That keeps the advice useful without overstating completeness or current certainty.