AgentAI was founded by Wendy Tran, a working real estate agent who builds AI Foundations and the AgentAI platform for agents like her.
I've spent my career on the same side of the desk as the agents I now train — cold calls, listing descriptions written at midnight, follow-ups that fall through the cracks because there just wasn't a spare 20 minutes that day. When AI tools started showing up everywhere, the advice agents got was almost always the same: "just use AI." Nobody explained what that actually meant for a Tuesday afternoon spent chasing a lead from three months ago.
So I built the thing I wished someone had handed me: a practical, real-estate-specific way to learn AI, module by module, with prompts you can copy and paste into an actual client conversation the same day.
AI Foundations is the training side — currently an 8-module cohort/membership program plus a 6-module follow-on (201) for graduates who want to go further, all built around real agent workflows rather than generic AI hype. Alongside it, I'm building AgentAI, a tool designed to take what agents learn in training and actually run it — automated follow-ups, CMA drafts, and referral suggestions, without needing to open a prompt window every time.
Everything here is built and tested with a small group of real estate agents first, before it's opened up more broadly.
AI can draft a listing description. It can't shake a buyer's hand at closing. Every tool here is meant to free up time for the parts of the job only you can do.
Every prompt produces a first draft, not a finished product. Verifying before you hit send — especially anything with a number or a legal claim — is part of the training itself.
Training materials and prompts work in English, Vietnamese, and Chinese, reflecting the communities agents in the GTA actually serve.