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
- Specify a field prospecting app (this lesson)
- Prototype without code and know the limits
- 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.
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