I completed a final paper for EDU 842 Mobile Learning on how students use mobile AI tools during moments of uncertainty or quick clarification. What stood out was…
I haven’t posted to in a while because I spent the last two weekends (and most days in between) building a multi-model sports analytics system with an LLM,…
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…
🎥 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 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…
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…
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…
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…
💡 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…