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Module
Module 5 of 5Lesson 1 of 3~10 min

Specify a field prospecting app

Before building a prospecting app, you need to know exactly what it should do. This lesson helps you write its spec with AI, from users to access rights, then try it out in a simple shared spreadsheet. You avoid building a tool the team will not use.

Lesson objective

By the end of this lesson, you will be able to write the specification of a field prospecting app (users, fields, views, rights, conditions of use) with the help of AI, and validate it in a shared spreadsheet before any development.

Topics covered

  • app specification
  • field prospecting
  • requirements
  • shared spreadsheet

Where it fits

Equip field prospecting

How do I go from a field need to a usable app, without a developer and without illusions?

Lessons in this module

  1. Specify a field prospecting app (this lesson)
  2. Prototype without code and know the limits
  3. Your toolkit and resources

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.