You have probably heard the word "agent" thrown around a lot lately in conversations about AI. It is one of those terms that sounds impressive and means nothing until someone shows you what it actually does.

This session shows you what it actually does.

An AI agent is not a chatbot. It is not a simple automation. It is software that can take a goal, figure out the steps needed to achieve it, and carry those steps out on your behalf, without you having to be involved at every stage. It is the difference between AI that answers your questions and AI that gets things done.

And the good news is that you do not need a development team or a six figure budget to start using them. You need Google Gemini, AppSheet, and a clear picture of which parts of your week you want to hand off.

We will cover:

• What AI agents actually are in plain English and how they differ from the chatbots and automations you may have already experimented with

• Real business examples of agents that are being used right now: one that monitors a inbox, drafts replies and flags urgent messages for human review, one that checks a job schedule, sends reminders to the relevant team members and updates the status automatically, one that pulls together a weekly business summary from multiple data sources and delivers it to your inbox every Monday morning

• How to identify the workflows in your business that are best suited to an AI agent, and how to think through the design before you build anything

• How to build a basic agent using Google Gemini and AppSheet without writing code

• Where the boundaries are, what agents can handle reliably today and what still needs a human in the loop

This is one of the most significant shifts in how businesses will operate over the next three years. The business owners who understand it now and start experimenting will have a meaningful head start on everyone else.

This session is where that head start begins.