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AI-Powered Multifamily Investment Analysis
Before You Begin
Before You Begin (6:03)
Module 1: Orientation & Foundations
1.1 Welcome & How to Use This Course (12:51)
1.2 What AI Can (and Can’t) Do for Property Analysis (7:50)
1.3 Choosing and Setting Up an AI Tool (13:01)
Module 2: Prompt Fundamentals for Investors
2.1 The Five Parts of a Clear Property-Analysis Prompt (7:39)
2.2 Giving the AI a Useful Role and Complete Context (7:41)
2.3 Telling the AI How to Organize Its Answer (8:05)
2.4 Improving a Response and Catching Invented Information (9:19)
Module 3: The Numbers (and the Conventions AI Gets Wrong)
3.1 The Main Measures of Property Performance (8:49)
3.2 Reviewing Operating Costs and Replacement Reserves (7:52)
3.3 Giving the AI Complete Financing Information (7:36)
3.4 How Future Sale Assumptions Affect Investor Returns (7:49)
Module 4: Building Your Deal-Analysis Prompts
Module 4 Overview (8:16)
4.1 The Quick-Screen Prompt: Deciding Whether a Listing Deserves More Time (8:27)
4.2 Building the Complete Operating Picture (the APOD) (9:17)
4.3 Projecting Rent, One Unit and One Lease at a Time (7:58)
4.4 Finding Missing and Understated Operating Costs (8:35)
Module 5: Evaluation, Risk & the Exit
5.1 Can the Property's Income Support the Loan? (9:44)
5.2 Testing What Could Cause the Investment to Fail (7:51)
5.3 How Future Sale Assumptions Change the Result (8:40)
5.4 Finding the Highest Price That Meets Your Requirements (9:08)
Module 6: Workflows & Advanced AI
6.1 A Repeatable Property-Analysis Workflow (9:25)
6.2 Getting Reliable Information from Documents and Web Research (11:27)
6.3 Building a Reusable Prompt System (8:31)
6.4 Using Advanced AI Settings and AI-Created Analysis Tools (12:59)
Module 7: The Chat Street Capstone
7.1 Case Study: The Facts and the Rent (17:50)
7.2 Case Study: Income, Expenses, and the Loan (18:32)
7.3 Case Study: Risk, Sale, Price, and Verdict (28:56)
5.2 Testing What Could Cause the Investment to Fail
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