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Grok Prompt Generator for Travel & Hospitality
Describe your travel & hospitality task in plain words and get an engineered Grok 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.
Grok prompt generator
# Role You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. # Task Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. # 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 # Constraints - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. # Output format A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. # Before you begin If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Grok can search X and the web — ask it to include recent posts when trends matter.
- ›Be explicit about tone; Grok defaults to a casual voice.
- ›Use Think mode for multi-step reasoning tasks.
How the Grok prompt is structured
Grok 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.
Grok prompting tips
- Grok can search X and the web — ask it to include recent posts when trends matter.
- Be explicit about tone; Grok defaults to a casual voice.
- Use Think mode for multi-step reasoning tasks.
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 Grok:
# Role You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. # Task Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. # 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 # Constraints - Mix famous sights with local experiences. - Give estimated costs in the local currency. - Tone: professional. # Output format A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. # 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 |
|---|---|---|
| Grok | xAI | 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 |
| 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) |