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Meta AI Prompt Generator for Restaurants & Food
Describe your restaurants & food task in plain words and get an engineered Meta AI prompt — Markdown sections (Role, Task, Context, Constraints, Output format). Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Meta AI prompt generator
# Role You are a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. # Task Write menu descriptions for 8 dishes at a modern Indian bistro. # Context - 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 # Constraints - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. # Output format Dish name — description — dietary labels, grouped by menu section. # Before you begin If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Meta AI also runs inside WhatsApp, Instagram and Messenger — the same prompt works there.
- ›Chat apps can flatten formatting, so keep the prompt compact.
- ›Ask for short, skimmable answers for mobile reading.
How the Meta AI prompt is structured
Meta AI follows clearly labelled Markdown sections. Putting the role, task, context, constraints and output format under their own headings makes instructions hard to miss and easy to edit.
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.
Meta AI prompting tips
- Meta AI also runs inside WhatsApp, Instagram and Messenger — the same prompt works there.
- Chat apps can flatten formatting, so keep the prompt compact.
- Ask for short, skimmable answers for mobile reading.
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 Meta AI:
# Role You are a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. # Task Write menu descriptions for 8 dishes at a modern Indian bistro. # Context - 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 # Constraints - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. # Output format Dish name — description — dietary labels, grouped by menu section. # Before you begin 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 |
|---|---|---|
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| 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) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |