The blog
Field notes on building agents.
What's working in the community, the patterns we keep reaching for, and how to build AI agents that actually run a property management book.
You Don't Start From a Blank Page
The system ships with 48 pre-built PM workflows covering the whole lifecycle, so nobody starts from a blank page. They are a starting point you customize to your own agency, with the money and legal steps human-gated by default.
Read the postWe Shipped Our Agent System to Production. It Still Can't Message a Single Resident, On Purpose.
This week we pushed our whole agent system to production. Live on the server, running for real. And it cannot send one message to a resident or an owner. That is not a bug. That is how I built it.
Read the postThe agents I run for my property management company can't stay logged in by themselves. So I fixed that first.
A week of running AI agents on a real PM company: making the AppFolio login self-renewing, catching a security feature that was merged but never deployed, and a phantom confirmation text that taught me to never trust a green checkmark.
Read the postBring Your Own Agent: Why I Build My Own AI Instead of Renting It From a Platform
Anybody can build an AI agent in an afternoon now, so building stopped being the skill. Owning the agent did. Here is why I keep mine on my side of the table instead of renting intelligence from a platform.
Read the postBuilding Your Team: Why It's Not AI vs. Your People
The real story isn't AI versus humans. It's pairing every person on your team with an AI assistant so they manage more doors without burning out. That's a higher bottom line and a better life for your people at the same time.
Read the postHow to Structure an AI Agent Fleet for a Property Management Company
If you're a PM owner experimenting with AI agents, the first real question isn't which tool, it's org structure. Get the structure right and you get a tight, scalable operation that runs your book around the clock.
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