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DeepSeek Prompt Generator for Travel & Hospitality
Describe your travel & hospitality 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 seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. Background: - Travellers: a couple on their first trip to Japan with a mid-range budget - Group nearby sights, include travel times and keep a realistic pace. - Preferences: travelling in April for cherry blossoms; love food and temples Requirements: - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. Output: A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. 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.
Travel & Hospitality prompt types
Choose a prompt type for travel & hospitality; each comes with an expert role, context rules and an output format:
- Trip itinerary — for example “a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka”.
- Destination guide / blog post — for example “a first-timer's guide to Lisbon”.
- Hotel / homestay description — for example “a listing description for a boutique homestay in the mountains”.
Example output for DeepSeek:
You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. Background: - Travellers: a couple on their first trip to Japan with a mid-range budget - Group nearby sights, include travel times and keep a realistic pace. - Preferences: travelling in April for cherry blossoms; love food and temples Requirements: - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. Output: A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. 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) |