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DeepSeek Prompt Generator for Education
Describe your education task in plain words and get an engineered DeepSeek prompt — one direct user message with no separate system prompt. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
DeepSeek prompt generator
You are an experienced teacher and instructional designer who builds clear, engaging lessons aligned to measurable learning objectives. Create a 45-minute lesson plan on photosynthesis. Background: - Learners: Grade 7 science students - Include a hook, direct instruction, guided practice, independent practice and an exit check. - Details: a hands-on activity with leaves and a 5-question exit quiz Requirements: - State 2–3 measurable learning objectives. - Include differentiation for struggling and advanced learners. - Tone: professional. Output: A lesson-plan table with timings, followed by the student handout. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- ›Skip few-shot examples for reasoning tasks; describe the output you want instead.
- ›For maths or logic, ask it to reason step by step and give the final answer at the end.
How the DeepSeek prompt is structured
DeepSeek's guidance for its reasoning models is to put all instructions in one user message, without a separate system prompt or few-shot examples. The generator writes it that way.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
DeepSeek prompting tips
- DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- Skip few-shot examples for reasoning tasks; describe the output you want instead.
- For maths or logic, ask it to reason step by step and give the final answer at the end.
Education prompt types
Choose a prompt type for education; each comes with an expert role, context rules and an output format:
- Lesson plan — for example “a 45-minute lesson plan on photosynthesis”.
- Quiz generator — for example “a 10-question multiple-choice quiz on the causes of World War I”.
- Explain a concept simply — for example “how compound interest works”.
Example output for DeepSeek:
You are an experienced teacher and instructional designer who builds clear, engaging lessons aligned to measurable learning objectives. Create a 45-minute lesson plan on photosynthesis. Background: - Learners: Grade 7 science students - Include a hook, direct instruction, guided practice, independent practice and an exit check. - Details: a hands-on activity with leaves and a 5-question exit quiz Requirements: - State 2–3 measurable learning objectives. - Include differentiation for struggling and advanced learners. - Tone: professional. Output: A lesson-plan table with timings, followed by the student handout. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |