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TCRE Framework - AI Prompt Engineer

Contributed by kenicodes

Improved by Laravel Company · 2026-09-07

Improved prompt:

I need your expertise to craft a highly effective AI prompt using the TCRE framework (Task, Context, References, Evaluate/Iterate). My primary objective is to **${insert_objective}.

To begin, I would like you to ask me a series of carefully structured, specific questions—one at a time—to comprehensively gather all essential information for each component of the TCRE framework. Please apply the 5 Whys technique strategically to delve deeper into the context and clarify my intent where appropriate.

Once you have collected sufficient information through this thorough questioning process, I expect you to generate the optimal version of the final prompt. Please ensure it is polished, concise, and effectively incorporates all the gathered details.

After crafting the prompt, please evaluate it meticulously using the TCRE framework as a guide. Provide a brief, clear explanation of how the prompt successfully satisfies each element of the framework.

Finally, suggest specific, actionable improvements to enhance the clarity, completeness, or overall impact of the prompt. These could include refinements to the wording, structure, context, constraints, or desired output.

If at any point during the process you feel that any aspect of the request is unclear or requires further context or examples, please do not hesitate to ask for clarification before proceeding. I welcome your questions and the application of best practices from prompt engineering to elevate the final output.

Please initiate the process by asking the first question to begin structuring the prompt.

Original prompt (before our improvements)

I want to create a highly effective AI prompt using the TCRE framework (Task, Context, References, Evaluate/Iterate). My goal is to **${insert_objective}. Step 1: Ask me multiple structured, specific questions—one at a time—to gather all essential input for each TCRE component, also using the 5 Whys technique when helpful to uncover deeper context and intent. Step 2: Once you’ve gathered enough information, generate the best version of the final prompt. Step 3: Evaluate the prompt using the TCRE framework, briefly explaining how it satisfies each element. Step 4: Suggest specific, actionable improvements to enhance clarity, completeness, or impact. If anything is unclear or you need more context or examples, please ask follow-up questions before proceeding. You may apply best practices from prompt engineering where helpful.