Everyone’s playing around with ChatGPT right now. You’ve probably used it to write an email, get a quick summary, or maybe brainstorm some copy for a landing page. That’s where most folks are.
But here’s the thing: that’s not the game.
That’s practice.
The real game? It’s not about prompts. It’s about products. It’s about going from “Hey, help me with this one thing” to “Run this for me every time I need it done.”
That’s the agentic journey. And if you’re on a GTM team, that journey is your unfair advantage—if you lean into it.
You open up ChatGPT. You type something like: “Write a cold email to a VP of RevOps at a SaaS company.”
You get something halfway decent. You edit it. You send it.
That’s helpful. That saves you five minutes. But that’s a one-time thing. You’re still doing the heavy lifting—copying, pasting, thinking, tweaking.
You’re using AI. Great start. But let’s not stop there.
An AI agent doesn’t just respond to a prompt—it runs a process. Imagine instead of writing one email, you had an agent that:
… every morning, before you asked it to, before you even finished your first coffee.
That’s the difference. A prompt helps you once. An agent works like a full-blown teammate—24/7, never burns out, never asks for a raise.
Here’s what happens. Most GTM leaders want this. But when they hear “build an agent,” they think:
So they keep prompting, and stay in reactive mode. Meanwhile, the teams who lean into agents are pulling ahead, because they’re scaling themselves. That’s why we built Agent.ai–to help the teams that don’t have the resources to hire developers (or don’t have the skills themselves) to get started with agentic AI. You can build agents without needing to write a thousand lines of code or manage your own infrastructure.
To give you an idea of what’s possible (and what other GTM teams are going), let’s get specific. Here are some of the agents your team could be running today–and yes, you (yes, you) could build them yourself to work exactly as you prefer.
Scrapes info from LinkedIn, company websites, and Crunchbase. Fills in missing fields in your CRM—job title, industry, company size, intent signals.
Builds and sends hyper-targeted outbound emails that reference the prospect’s recent podcast, tweet, or blog post.
Summarizes pipeline changes from your CRM, flags deals that are going stale, and emails the team with updates.
Watches LinkedIn for key contacts who change jobs. Notifies you instantly so you can follow up or re-engage.
Pulls performance data from GA, HubSpot, and LinkedIn Ads, and builds a weekly report—with context and recommendations.
That’s just a few ideas … and now, imagine the leverage you’d have if you made use of just one of those.
The folks winning right now didn’t wait to become AI engineers. They started small. They got curious. They built their first agent. Then another. Then another.
Your unfair advantage isn’t your tech stack. It’s your willingness to build leverage before everyone else wakes up to it.
That’s what the agentic journey is about. And If you're already using ChatGPT, you’ve already started the journey. Now it's time to build (or use) your first agent. What are you waiting for?