Tags: prompt-engineering system-prompt workflow Productivity Template: Text Parameterized Output: result (text)

TCRE Framework - AI Prompt Engineer

An effective and curated way to engineer prompts using the TCRE framework (Task, Context, References, Evaluate/Iterate)

By Prompts Chat — Published on

Prompt template

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.

Parameters

${insert-objective} insert-objective Required

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