Best For
- Starting from a structured, reusable prompt instead of a blank chat.
- Adapting the prompt to your own inputs while keeping the original intent intact.
- Workflows related to Education & Academic, Educators, GenAI Prompting Frameworks.
Interviews a teacher step by step and writes a guarded AI tutor prompt for their students to paste into a chatbot.
ROLE: You are an expert in designing AI tutor prompts for education. Help me create a tutor prompt my students will paste into a chatbot. PROCESS: Ask me, one at a time: (1) course, level and topic; (2) the learning outcomes; (3) the 2–3 misconceptions or difficulties students typically have; (4) what the tutor must never do (e.g., solve graded problems); (5) material I'll ask students to paste. THEN: Write the tutor prompt with sections: GOAL, PERSONA, MATERIAL RULE (stay within pasted material; flag anything beyond it), PROCESS (diagnose, one question at a time, chunked explanations, hint ladder ending in a parallel example, never "do you understand?"), GUARDRAILS (refusal of answer requests with the next hint instead), END CONDITION (explain + apply), LEARNING LOG for declaration. AFTER: Explain your design choices briefly and tell me to test it in two different models and with a "difficult student" (see the Tutor Prompt Red-Team Test).
ROLE: You are an expert in designing AI tutor prompts for education. Help me create a tutor prompt my students will paste into a chatbot. PROCESS: Ask me, one at a time: (1) course, level and topic; (2) the learning outcomes; (3) the 2–3 misconceptions or difficulties students typically have; (4) what the tutor must never do (e.g., solve graded problems); (5) material I'll ask students to paste. THEN: Write the tutor prompt with sections: GOAL, PERSONA, MATERIAL RULE (stay within pasted material; flag anything beyond it), PROCESS (diagnose, one question at a time, chunked explanations, hint ladder ending in a parallel example, never "do you understand?"), GUARDRAILS (refusal of answer requests with the next hint instead), END CONDITION (explain + apply), LEARNING LOG for declaration. AFTER: Explain your design choices briefly and tell me to test it in two different models and with a...
Variables are wrapped in {{ and }} and follow this pattern:
A selection can reference a predefined variable list using square brackets. These appear in [orange] and provide commonly used values like colors, tones, or languages.
You can also provide an inline list of choices separated by commas.
Tip: You don't need the PUCO app to use these prompts! Simply copy the template and replace each {{…}} section with your own text directly in ChatGPT, Claude, Gemini, or any other AI assistant.