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Claude Prompt Generator for Travel & Hospitality
Describe your travel & hospitality task in plain words and get an engineered Claude prompt — XML tags (<role>, <context>, <task>, <constraints>, <output_format>). Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Claude prompt generator
<role> You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. </role> <context> - 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 </context> <task> Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. </task> <constraints> - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. </constraints> <output_format> A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. </output_format> <instructions> If anything essential is missing, ask me up to 3 short clarifying questions before you start. </instructions>
- ›Claude pays close attention to XML tags — keep each part inside its own tag.
- ›Put long documents above the instructions, wrapped in <documents> tags.
- ›Turn on extended thinking for complex analysis, or keep the clarifying-questions option on.
How the Claude prompt is structured
Anthropic's documentation recommends XML tags for Claude: tags such as <context> and <task> separate instructions from material, so Claude doesn't confuse your examples with your instructions.
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.
Claude prompting tips
- Claude pays close attention to XML tags — keep each part inside its own tag.
- Put long documents above the instructions, wrapped in <documents> tags.
- Turn on extended thinking for complex analysis, or keep the clarifying-questions option on.
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 Claude:
<role> You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. </role> <context> - 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 </context> <task> Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. </task> <constraints> - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. </constraints> <output_format> A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. </output_format> <instructions> If anything essential is missing, ask me up to 3 short clarifying questions before you start. </instructions>
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, 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 |
| 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) |