I Replaced 100 Hours of Real Estate Work per week With This AI Strategy

12 Mar 2026 · 26 min
26:09

In this Owner Meeting Podcast episode, host Christian Osgood interviews AI‑savvy real‑estate investor Caleb Hommel about how they have leveraged advanced generative‑AI tools to automate and accelerate virtually every aspect of their multifamily investing business. They discuss using Claude and Anthropic models (instead of ChatGPT) to scrape and parse old email, SMS, and iMessage threads, surface leads that fell through the cracks, and generate personalized follow‑up outreach at scale, turning tens of thousands of contacts into a curated list of a few hundred qualified investors in minutes. They describe building custom GPTs that embed Christian’s own mentorship content, underwriting calculators, and deal‑analysis logic, allowing students to receive instant, personalized deal recommendations. The conversation covers cost‑per‑token economics, the trade‑offs between AI bots and human virtual assistants, the distinction between Claude’s “Coworking” task agents and “Claude Code” development agents, and the vision of constructing AI‑driven employee hierarchies that manage sub‑agents. They also share practical workflow tips such as color‑coding tasks by value, instantly prototyping bots for new ideas, and using AI to debug and optimize code overnight. Throughout, they stress that AI amplifies relationship‑based real‑estate work rather than replacing it, and they provide concrete examples of time and money saved, from cutting weeks of manual prospecting down to five minutes to reducing VA costs from $800‑$1,000 a month to a few dollars in API usage.

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