Logo

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

Data

martedì, 14 luglio 2026

Orario

11:00 America/Denver

Converti nel mio fuso orario
Campo obbligatorio.
Campo obbligatorio.
Campo obbligatorio.
Campo obbligatorio.
Campo obbligatorio.
Campi obbligatori
Se sei già registrato e non puoi localizzare la tua email di conferma registrazione, clicca qui!
Indirizzo email é invalido o non é stato fornito durante il processo di registrazione. Fornisci l'indirizzo email valido.

A confirmation email with logging details has been sent to the provided email.

Test di configurazione del sistema. Clicca qui!

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.