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Microsoft Copilot Prompt Generator for Restaurants & Food
Describe your restaurants & food task in plain words and get an engineered Microsoft Copilot prompt — Microsoft's Goal · Context · Source · Expectations framework. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Microsoft Copilot prompt generator
Microsoft Copilot · gcse
Goal: Write menu descriptions for 8 dishes at a modern Indian bistro. Context: You are a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. - 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 Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: Dish name — description — dietary labels, grouped by menu section. - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
841 chars · ~210 tokens
Open Microsoft Copilot
- ›Microsoft recommends four parts: Goal, Context, Source and Expectations.
- ›In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- ›Ask for output you can paste straight into Word, Outlook or PowerPoint.
How the Microsoft Copilot prompt is structured
Microsoft recommends that Copilot prompts state a Goal, give Context, name the Source to use and set Expectations. Every generated prompt follows that order.
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.
Microsoft Copilot prompting tips
- Microsoft recommends four parts: Goal, Context, Source and Expectations.
- In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- Ask for output you can paste straight into Word, Outlook or PowerPoint.
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 Microsoft Copilot:
Goal: Write menu descriptions for 8 dishes at a modern Indian bistro. Context: You are a hospitality marketing specialist and food writer who makes dishes sound irresistible and keeps restaurants' tables full. - 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 Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: Dish name — description — dietary labels, grouped by menu section. - Avoid clichés such as 'mouth-watering' and 'delicious'. - Mark dietary labels (V, VG, GF) where given. - Tone: professional. 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 |
|---|---|---|
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| 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 | |
| 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 |
| 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) |
Frequently asked questions
What is a Microsoft Copilot prompt generator?
It turns a plain-language request into a structured prompt — role, task, context and output format — written the way Microsoft Copilot follows best, so you get better answers on the first try.
Does this tool send my text to Microsoft Copilot?
No. The prompt is assembled in your browser from templates. Nothing you type is sent to any server or AI until you paste it yourself.
Why does the prompt change when I switch AI?
Models are trained on different conventions: Claude responds well to XML tags, Gemini to Persona/Task/Context/Format, Midjourney to descriptors and --parameters, Suno to style tags and a lyric sheet. The generator rewrites the same request for each.
What if I leave a field empty?
The example shown in grey is used instead, so the prompt is always complete. Replace it with your own details for the best results.
Can I use these prompts for other restaurants & food tasks?
Yes. Pick the closest prompt type and describe your own task — the restaurants & food expertise in the role and context still applies.
Is the prompt generator free?
Yes — free, unlimited and no account needed.