Darren Patterson

I'm going to give it a text prompt here.

And I've just said, hey, just like the prompts that you guys produce in the daily on a regular basis where you're given great instructions about what makes a great prompt, I've just simply given some instructions that said, hey, given this campaign brief, I want you to give me a simple list of tasks.

And so that's what this step is going to do.

It's going to digest that information and run it.

And then my last stop here is where I'm actually investing in, okay, I'm going to hand over the rest to the marketing campaign agent.

So my agent represents lists as another step in my workflow.

But of course, it's a special kind of step and it's unique in many different ways.

And it's unique because it has a set of configuration unto itself.

So that system prompt that helps me describe what its role in life is.

And as we talked about before, an agent's really powerful because it has a set of tools and capabilities to do things.

Here, I can see that the tools I've given it, some simple, like send an account, a Slack message to the account team, and some that can be complex and nuanced based upon my business.

Again,

makes ideally suited because it already has connections to all these different things.

You can see that it has, in this case, I'm creating a specific Canva folder structure.

So not just telling AI, hey, you can create folders in Canva, but it's actually a scenario that I've created that says in our business, we always create a draft folder for each customer and we create an in-progress folder for each customer.

And so creating that right folder structure every single time and mixing these concepts of determinism and non-determinism.

Yeah, fantastic.

So we have both the types of tools that we have ability is a single module, essentially one of these modules you see, or an entire scenario which executes scenario.

So we can see that example that I just gave where the tool I'm giving to the AI agent is it can start this process, and it's always going to run these four steps, and then be done with that process.

And this is kind of the interesting part because you're playing with the situation wherein you may or may not trust the AI agent to get it right every time.