Page 9 of 14

Mod 2: We finished the tool — and spun up an app on Replit

Over the last sprint I used an LLM to refactor and fine-tune our real-estate rent-estimation engine. The result is a cleaner, deterministic progression that’s easier to reason about…

Mod 1: From Pseudocode → Working Investor Tool (and what we’ll fix in Mod 2)

🎥 The full walkthrough video is embedded below. Today I shipped Mod 1 of a one-file program called investor_tool.py. In plain English, it: Reads two spreadsheets (actives +…

Pseudocode: A Conceptual Bridge to Better Prompt Engineering

Pseudocode is one of the first things new programmers learn- an informal way to outline an algorithm without worrying about the strict syntax of a programming language. This…

Building a Two-Step Real Estate Investment Analysis Tool (Step 0: Planning)

Before coding, we plan — and in this screencast, I walk through the concept, tools, duration, and first AI-assisted prompt for the project. We’re building a two-step real…

Mod 3 From Raw Data to a Facebook Marketing List in 30 Minutes

oday I walked through a screencast showing how to take assessor and property data, clean it up, and transform it into a Facebook-ready custom audience list. In just…

Mod 2: Data Enhancement with the MCTA API (AAEL Workflow)

Goal: Turn raw MLS sales into a clean, actionable prospect list by enriching records with Assessor data. Why an API?MLS tells you what sold. The Assessor API adds…

Facebook Marketing Campaign: Module 1

💡 FB Refi Marketing Project – Class 2 Recap This week we showed how you can go beyond the obvious fields in ARMLS and pull “hidden” loan-type data…

AI at Warp Speed: From Pair Programming Secrets to Four Years in Four Days and the Need for Guardrails

Lately I have been struck by a trio of articles that perfectly capture the extremes of today’s AI conversation. 1. A ZDNet piece on 60+ hours of pair…

Project Spotlight: Data-Driven Refinance Marketing Campaign

In this video, I do an overview on how to build a Facebook marketing campaign for refinance leads, using real data from ARMLS, MCTA, and the Freddie Mac…

The Hidden Cost of Going Virtual: Why We Lose More Than We Think When We Rely on Webcasts

In an age where Zoom calls, webinars, and virtual meetings have become everyday staples, it’s easy to assume we’re simply trading in-person friction for digital convenience. And yes…