CRIT is a four-part prompt framework: Context sets the background, Role assigns the AI a persona, Interview instructs the AI to ask clarifying questions before proceeding, and Task defines what to produce after the interview. The Interview field is unique — it makes CRIT the only framework that actively gathers missing information before executing.
CRIT's defining characteristic is the Interview field. Rather than forcing you to anticipate every piece of context the AI might need, CRIT instructs the AI to ask targeted clarifying questions first. This makes it particularly valuable for open-ended, creative, or advisory tasks.
Interview-style framework — AI gathers context before executing.
Use CRIT for open-ended creative tasks, strategic advice, consulting-style outputs, or any task where quality depends heavily on details you might not know to provide upfront. If you always know exactly what you want, RACE is faster.
CRIT vs RACE: RACE assumes you know all the context needed. CRIT is for when you do not — the AI helps gather it. CRIT is slower (requires a conversation turn) but produces better results on open-ended tasks.
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Start freeCRIT stands for Context, Role, Interview, and Task. The Interview field instructs the AI to ask clarifying questions before executing the task, rather than attempting it with incomplete information.
Yes. CRIT is designed for conversational use: you send the prompt, the AI asks questions, you answer, then the AI executes. It is not suited for single-shot automation.
3–5 is the sweet spot. Specify the areas to probe, not the exact questions, and let the AI formulate them based on its role.