Logo

Agent vs. AI: A Live Race Through a Real Estate Transaction

Data

Terça-feira, 14 Julho 2026

Horário

11:00 America/Denver

Ver no meu fuso horário
Este campo é obrigatório.
Este campo é obrigatório.
Este campo é obrigatório.
Este campo é obrigatório.
Este campo é obrigatório.
Campos obrigatórios
* Caso já tenha se registrado e não consiga localizar seu e-mail de confirmação de registro, clique aqui!
O endereço de e-mail está incorreto. Verifique seu endereço de e-mail.

Um e-mail de confirmação com detalhes de login foi enviado ao e-mail fornecido.

Teste de configuração do sistema. Clique aqui!

Two ways Agents and TC's manage a deal, one of them just got a lot faster.

In this live session, we put a real (anonymized) Colorado contract on screen and race it head-to-head: an agent builds the deal timeline, task list, and updates the transaction through the key phases, while AI does the same job live. Then we break down an honest scorecard, where AI wins, where your judgment has to stay in charge, and how to put AI to work in your own transactions without the hype.

What you'll see and learn:

  • What AI can actually do in a real estate transaction today, live, not in theory
  • Where AI is strong, and where the human has to stay in control.
  • A simple, vendor-neutral way to start using AI in your deals this month
  • How to use AI responsibly, without risking client data or compliance

Who it's for: Colorado agents, brokers, and transaction coordinators, whether you're AI-curious, AI-skeptical, or already experimenting.

Nitin Adoni

Nitin Adoni is the VP of Product at TokenLinx, an AI Native Transaction Management platform for the Real Estate Industry. Nitin has spent countless hours with some of the top agents, brokerages and TC;s, listening to where the contract-to-close process breaks down, and helps them build AI models for their workflows. Nitin specializes in stripping away the tech hype to find practical, everyday workflows that actually save real estate professional's time. In this session, he brings a front-row seat to how AI operates under pressure in a live transaction environment.