Agents versus chatbots

0:00 But after going deep myself and building dozens of agents, I found out it's actually way easier to build and manage these agents than it looks. So much so that my whole team and I have hundreds of AI agents doing 92% of all the work across my companies. So today, we're going to go through every step on how you can build your first AI agent, starting with AI chatbot versus AI agent. A chat is like a meeting.

0:22 An agent is like an employee. Chat is you ask it a question and then you get an answer. And a lot of people just copy and paste things and do something with it. With an agent, you actually tell it what you want to do and it runs the full workflow. Think of it like these are the body parts. I call it data. So one is D, it can diagnose. It can actually figure out what the problem is and solve it on your behalf, kind of like hiring a consultant.

0:45 Next is A, it can assemble. It can build a plan, it can design tools. In that way, I think of it like an architect. It knows all the different pieces that it can pull together to get something done. Next, we have T, it can take action. In that way, I think about it like somebody that executes tasks. And finally, A, it can assess. It can check its own work, see where the opportunities are, and then make sure that it landed on the right answer.

1:10 And if not, it can review itself and make itself better. This whole thing is called a loop. And without a loop, an agent would just do the job and then stop. That's called an automation. But with an agent, it keeps learning. It keeps getting better. It kind of acts like a person. With chat, it pulls on us. It's asking us, "What do you want me to do?" We prompt it and then we wait. With an agent, it pushes on us.

1:32 It's doing things and changing things all the time and it's checking in to make sure that it did it the right way. So you might be able to buy back your time with chat, but you'll actually learn to let go of whole areas with an agent. But, how do we even know if it's worth giving something to an agent instead of just doing it ourselves? For that, I use the rule of R. The first one is repetitive.

1:54 Is this a task that I'm going to do every week? Two is rules base. Does it take the same input and generate the same output every time? The third is does it generate a return on my time? For the amount of time it takes me to build this thing, I'll show you how, will I actually get my time back? If the task takes 2 minutes, but it would take me 2 weeks to build this agent, how about I just keep doing the 2-minute task?

2:17 But, if you think about it and the task is only done once in a while, doesn't follow a clear process or get to a specific outcome, and doesn't save you more time to automate it than just doing it manually, then stick with what you got. Use the