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Module
Module 4 of 5Lesson 2 of 3~10 min

Value from DVF comparables, not from the AI's memory

Asking AI for a price from memory gives you a number with nothing behind it. This lesson teaches you to select comparable sales from DVF, the French open sales database, have them analyzed into a reasoned range, then check the math and its limits. Your valuation becomes something you can defend to the seller.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to select comparables in DVF, have AI analyze them to produce a reasoned range, and check its calculations and limits.

Topics covered

  • property valuation
  • DVF
  • comparable sales
  • price per square meter

Where it fits

Speed up sales tasks without losing reliability

How do I use AI for listings, valuations and leads without exposing the agency?

Lessons in this module

  1. Write compliant listings with AI
  2. Value from DVF comparables, not from the AI's memory (this lesson)
  3. Qualify leads and prepare follow-ups

What you will learn in the course

This lesson is part of the course AI for real estate professionals (France)

  • Identify the tasks in your work to hand to AI and the points where human checking is mandatory.
  • Prepare client data in line with the GDPR before any AI processing (minimize, pseudonymize or anonymize, choose the tool and plan).
  • Build a rental yield spreadsheet with AI (gross yield, net yield, cash flow, three scenarios) and check its formulas against a case worked out by hand.
  • Check a tax or regulatory claim produced by AI against a dated official source, and recognize when to consult a professional.
  • Write a listing with AI that includes the mandatory notices and no unverifiable claim.
  • Produce a reasoned valuation range from DVF comparables given to the AI, and qualify a lead with an explicit grid, explaining the limits of each result.
  • Specify a field prospecting app, validate it in a spreadsheet, then prototype it without code, listing what is missing for production use.

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