Definition: Agents are systems that can act autonomously and use tools to perform complex tasks. In the case of agents, I'm going to define a complex task as a task that requires human reasoning.

In other words, AI agents are good at replacing the need for a human to be in the loop. They're very dynamic and can adapt to different situations or edge cases. And that's what makes these things so powerful is they can adapt to unique situations. You don't just build it once for one unique situation and have it run; that would be considered an automation.

Agents take in new information every time, it's a different scenario every single time, but you can get a good result if you can build them correctly.

This is an important distinction to make. Let's look at the differences and a scenario to help you understand.

• Automations: Predefined workflows that perform structured tasks. Something that happens the exact same every single time. Automations are great because they're super consistent.
• Agents: Non-deterministic and can adapt to situations in real time. You don't have to worry about a unique situation or something small being different because the agent can adapt very well.

You can think of agents like a human brain. When we are presented with a problem, our conscious mind is going to use our subconscious mind to find out how we have dealt with this problem in the past, what tools we've used, and what resources are available to make a decision. That's kind of how an agent is acting.

The Garden Analogy:

The Automation: Let's say you have a garden and you get sick of watering it. You set up a simple self-watering automation on a timer. At the same time each day, your garden gets watered. This is great! But what if it rains a lot? Your automation doesn't know any better and keeps watering, which could overwater and damage your plants. What if there's a dry spell? Your automation keeps giving the same amount of water, which might not be enough, and your plants could die.

The AI Agent: Now, imagine you have an AI agent baked into this water system. The agent dynamically controls the water flow depending on current and future weather patterns. It can also take into account how tall your plants are, the growing zone, soil moisture, and the plant type. It then makes decisions for when to water your plants based on all of these changing factors. This leads to an epic, lush garden because it can adapt to the exact situation today.

All automations and agents follow this similar framework:

The key difference between an Automation and an Agent happens here, in the Configuration step.

In an automation, the configuration is the same each and every time. In an agent, it will dynamically decide how to configure an output based on the situation. It can even act on natural language instructions you give it. Based on the input, the AI agent decides which tool it's going to use—your Google Calendar, your email, any tool you give it—to achieve the desired outcome.

AI agents are for everyone. When I say everyone, I mean everyone. If you want to become more efficient, save loads of time, create a new stream of income, or save more of your income, then AI agents are for you.

I've personally trained:

• Marketing Teams & Salespeople
• Construction Workers & Data Analysts
• Accountants & Lawyers
• CEOs & Content Creators
• E-commerce Leaders & Consultants
• ...and everyone under the sun!

Everyone has a use case. Not only are people finding these use cases, but students of mine have went on to sell their AI agents for thousands of dollars. Somebody in the community actually sold an agent for $59,000. So you can see how powerful these things are, because money talks. We've also helped bigger, more established businesses save thousands of dollars with AI agents.