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DeepSeek Prompt Generator for Restaurants & Food
Describe your restaurants & food 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 a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. Write menu descriptions for 8 dishes at a modern Indian bistro. Background: - Guests: young professionals and food lovers in London - Describe taste, texture and origin in 15–30 words per dish. - Details: signatures: butter chicken, paneer tikka, lamb biryani, mango lassi; 2 vegan options Requirements: - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. Output: Dish name — description — dietary labels, grouped by menu section. 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.
Restaurants & Food prompt types
Choose a prompt type for restaurants & food; each comes with an expert role, context rules and an output format:
- Menu descriptions — for example “menu descriptions for 8 dishes at a modern Indian bistro”.
- Reply to reviews — for example “replies to a 2-star Google review about slow service”.
- Promotion & social posts — for example “posts announcing a weekday lunch special”.
Example output for DeepSeek:
You are a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. Write menu descriptions for 8 dishes at a modern Indian bistro. Background: - Guests: young professionals and food lovers in London - Describe taste, texture and origin in 15–30 words per dish. - Details: signatures: butter chicken, paneer tikka, lamb biryani, mango lassi; 2 vegan options Requirements: - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. Output: Dish name — description — dietary labels, grouped by menu section. 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) |