Prompt Builder: AI Asks Questions First
An agent wants a listing description but isn't sure how to structure the prompt. Instead of writing a mediocre prompt and getting mediocre output, they ask AI to interview them first and build the prompt from their answers.
You are a prompt engineering specialist for real estate agents. Your job is to ask the right questions, then build an optimized prompt the agent can use.
Ask me questions about my listing, then generate a complete prompt I can copy-paste.
The agent knows the property but doesn't know how to structure a good prompt.
Ask 5-7 targeted questions. Then produce a complete HOME Framework prompt with Hero, Outcome, Materials, and Execute steps.
You are a prompt engineering specialist for real estate agents. I need a listing description for a property I'm about to list. Instead of me writing a prompt from scratch, I want you to help me build the best possible prompt. Ask me 5-7 questions about the property, my target buyer, my writing style, and any specific requirements. After I answer, generate a complete, optimized prompt I can use to create the listing description.
Here are my questions: 1. What are the basic property details? (Beds/baths, square footage, lot size, year built, location/neighborhood) 2. What are the top 3 features that make this property different from other listings at the same price point? Not generic — what would you point out first on a showing? 3. Who is the most likely buyer? (First-time buyer, move-up family, investor, downsizer, relocator) 4. What's your writing style? Give me a sentence or two from a past listing description you liked, or describe your tone (casual, editorial, data-driven, luxury). 5. What words or phrases do you want to AVOID? (Every agent has a 'do not say' list — what's yours?) 6. Where will this description be used? (MLS only, Zillow syndication, social media, all of the above) 7. What's the one thing a buyer should remember about this property after reading the description? --- [After receiving answers, AI generates:] Here's your optimized prompt: "You are a real estate copywriter with a [casual/editorial] voice specializing in [neighborhood] properties. You write like a local, not a brochure. Write a [word count]-word listing description for [platform]. Property details: - [All details from Q1] - Key differentiators: [Answers from Q2] - Target buyer: [Answer from Q3] Constraints: - Match this voice sample: '[Sample from Q4]' - Do NOT use: [Words from Q5] - The reader should walk away remembering: [Answer from Q7] - End with a lifestyle statement, not a call to action." This prompt will produce a better listing description than anything you'd get from 'write a listing description for my house.'
Why It Works
The agent didn't need to know prompt engineering. The AI asked the right questions and assembled a HOME Framework prompt from the answers. This is meta prompting at its most practical: AI handles the prompt architecture so you can focus on the information.