If you’ve been following our little playbook, you’re already ahead of the game. We’ve covered how AGI is the mythical, all-star quarterback of the future, while AI Agents are the specialized, hard-working players on the field today. Now, it’s time to get into the heart of the action, because we’re going to dive into another key player that everyone is talking about: Generative AI. And we’ll see how it fits perfectly on the team with our AI Agents.
Think of it this way: every great player has a core skill, a secret weapon that makes them so valuable. A quarterback has a powerful arm, a wide receiver has lightning-fast speed, and a kicker has a laser-focused leg. Without these core skills, they couldn’t make a single play. They’d just be a bunch of athletes in fancy pads.
In the world of AI, the ability to create something new is a core skill, and we call it Generative AI. It’s the kind of AI that doesn’t just retrieve information but actively creates new content. We’re talking about the models that write emails for you, generate stunning images from a few words, or even compose a song. These are the creative powerhouses that have captured our attention lately. Generative AI is like the perfect spiral throw—it’s a powerful capability, an incredible skill. It’s what allows a quarterback to get the ball where it needs to go, or a wide receiver to craft a perfect route to get open. It’s a core function, a tool in the toolkit of a player. The key to understanding this is to see Generative AI not as a player itself, but as the underlying ability that a player uses to make a play. We’re all familiar with tools like ChatGPT, but it’s important to remember it’s not the only one. There are also incredible tools like Claude, which is known for its natural, conversational tone, and Midjourney, which is in a league of its own for creating breathtaking images. Then of course the other teams including: Google Gemini, Grok, Perplexity and many more.
So, where do our AI Agents come into the picture? If Generative AI is the special skill, then an AI Agent is the player who uses that skill to win the game. An agent is a tool designed to do a specific, complex task, and often, it uses a Generative AI model as its engine. An AI agent has a goal, a plan to achieve it, and the ability to act. It’s the whole package, the player on the field who uses their special skills to score.
Let’s break down this teamwork with a few game-time examples. Imagine you want to create a blog post. You could use a Generative AI tool to write the text for you, but that’s just one part of the job. You still have to do the research, find the images, post it on your website, and share it on social media. That’s a whole lot of work, and it’s a bit like a quarterback trying to throw a touchdown and then also having to run down the field to catch it. That’s just not how the game works. This is where an AI Agent shines. An AI Agent can be built to take a simple prompt—like “write a blog post about the benefits of a morning routine”—and then do all the work for you. It will use a Generative AI model to write the text, then find a relevant stock photo, and finally, publish the finished article on your blog and tweet out the link. The Generative AI is the part that does the writing, but the AI Agent is the one who understands the full process, executes the plan, and gets the job done. The agent is the player, and Generative AI is the perfect pass it uses to score.
This teamwork isn’t limited to content. You could have a marketing agent that uses a Generative AI model to create different ad headlines for different customer types, then automatically runs the ad campaigns for you. Or a customer service agent that uses Generative AI to understand customer questions and provide helpful, conversational answers, all without you having to lift a finger. The Generative AI provides the creative spark, the ability to produce, while the AI Agent provides the plan, the purpose, and the execution.
You might be thinking, “This sounds great, but where can I get these agents?” The good news is that you don’t have to be a tech wizard to put an AI team together. Just like you can walk into a sporting goods store and buy the equipment you need, you can go to a number of user-friendly websites and build your own agents with no coding required.
One popular tool is n8n (pronounced “N-eight-N”). It’s a workflow automation tool that lets you build complex chains of actions with AI steps using a visual, drag-and-drop interface. It’s great for those who want a lot of control over the process without writing a single line of code. Another great option is MotionApp, which is specifically designed as an AI-powered daily planner and task manager. It acts as an AI agent for your schedule, automatically prioritizing tasks and scheduling them around your meetings. Another great option is Jasper, which is specifically designed for marketers and content creators. Jasper is a platform that uses its own powerful Generative AI to help you plan, create, and collaborate on content, with agents that can handle everything from writing a blog post to generating new ad copy and images. Lastly, Lindy.ai and MindStudio are excellent choices, for those who want a visual, drag-and-drop experience. These are just a few examples, but a quick search for “no-code AI agent platforms” will give you a full roster of options to choose from.
So, let’s take a final look at the big picture. When you hear about AI, you’re usually hearing about either the underlying ability or the complete tool. Generative AI is the underlying power source, the creative ability, the perfect pass. An AI Agent is the complete tool, the player on the field, the one who uses that power to achieve a specific goal. With a team of AI Agents at your side, you’re no longer just watching the game—you’re the head coach, making the winning calls.
What kind of AI agent would you want on your team? Share your thoughts on social media and tag @iamcezarmoreno!
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