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Qwen Prompt Generator for Real Estate
Describe your real estate task in plain words and get an engineered Qwen 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.
Qwen prompt generator
# Role You are a senior real-estate marketing copywriter and agent coach who understands buyer psychology, local-market positioning and fair-housing rules. # Task Write a listing description for a renovated 3-bedroom townhouse with a private garden. # Context - Target buyers: young families relocating for work - Lead with the single strongest feature, then lifestyle benefits, then practical facts (beds, baths, size, parking). - Facts to include: 2 bathrooms, 1,450 sq ft, 5-minute walk to a top-rated school, new kitchen, EV charger # Constraints - Follow fair-housing rules: describe the property, never the kind of person who should live there. - Use concrete, sensory details instead of clichés like 'must see' or 'nestled'. - No exaggerated or unverifiable claims. - Tone: professional. # Output format A headline (max 10 words), a 150–200 word description in short paragraphs and 5 bullet-point highlights. # Before you begin If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Qwen is strong at multilingual and Chinese–English work — state the output language.
- ›Switch on thinking mode for complex, multi-step tasks.
- ›Ask for JSON when you need structured output for a spreadsheet or app.
How the Qwen prompt is structured
Qwen 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.
Qwen prompting tips
- Qwen is strong at multilingual and Chinese–English work — state the output language.
- Switch on thinking mode for complex, multi-step tasks.
- Ask for JSON when you need structured output for a spreadsheet or app.
Real Estate prompt types
Choose a prompt type for real estate; each comes with an expert role, context rules and an output format:
- Property listing description — for example “a listing description for a renovated 3-bedroom townhouse with a private garden”.
- Seller lead follow-up email — for example “a follow-up email to a homeowner who requested a valuation last month”.
- Social media content plan — for example “a 2-week Instagram and Facebook content plan for a local real-estate agent”.
Example output for Qwen:
# Role You are a senior real-estate marketing copywriter and agent coach who understands buyer psychology, local-market positioning and fair-housing rules. # Task Write a listing description for a renovated 3-bedroom townhouse with a private garden. # Context - Target buyers: young families relocating for work - Lead with the single strongest feature, then lifestyle benefits, then practical facts (beds, baths, size, parking). - Facts to include: 2 bathrooms, 1,450 sq ft, 5-minute walk to a top-rated school, new kitchen, EV charger # Constraints - Follow fair-housing rules: describe the property, never the kind of person who should live there. - Use concrete, sensory details instead of clichés like 'must see' or 'nestled'. - No exaggerated or unverifiable claims. - Tone: professional. # Output format A headline (max 10 words), a 150–200 word description in short paragraphs and 5 bullet-point highlights. # 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 |
|---|---|---|
| Qwen | Alibaba Cloud | 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 |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |