Best Samuel Woods Quotes

They're going to walk away with a bunch of essentially recipes, which is how to use agents and agent workflows across three different domains inside their online business.

Around traffic and distribution, then conversion, and then using agents for data processing and analytics.

These agents will actually help you discover opportunities and patterns inside the work that you do that'll help you reframe an offer, come up with new offers, improve what you're doing, get better results.

It's good to have agents for fun, but we want agents for money more than anything else.

We've made a few key jumps in the past six months that have enabled more accurate and better performance from agents than we used to have this time last year.

This time last year, you could do a lot of the stuff that you can do now, but it required Python and code and infrastructure, and it got pretty complex pretty quickly.

Now, things have gotten a lot easier.

You can think of roughly three types of agents.

The first one are workflow agents, which is that you combine them with an automation or a workflow.

The agent acts within a whole workflow as opposed to outside of it doing whatever it needs to do.

You might publish a YouTube video, then you go make coffee, and then by the time you're back, an agent has not just created content, repurposed content, but an agent can actually publish them all, format them, and change the distribution mechanism for you.

A second agent can interact with your social posts.

If people comment or if you had a call to action at the end, you can have another agent that then reaches out to people via DMs.

Instead of just reusing the same stuff over and over again, you can make use of tools like Gumloop or Genspark to help you optimize and reframe and change your distribution posts.

Don't try to do all your social distribution all at once.

Start with something like Instagram, if that's a platform that you use.

The third category, which a lot of people kind of neglect, is using agents and agent workflows for data processing and analytics.

There are probably a lot of stuff in any creator's business that you think is working, you hope it's working, but when you look at the numbers, it turns out that is not making that big of a difference.

It's better if you know that some of the things you do is a waste of time so you can stop doing them.

The agent can log performance data into a Notion content tracker automatically for you instead of you going, exporting data and then trying to upload to things and pick out all the metrics.

Analyzing how you spend your time, looking at your metrics every day, where's my revenue at, what's the trend of my email marketing performance, what's the trend on my social media posting performance.

That's the stuff that when you look at it every day, it helps you improve incrementally step by step.

I thought that we maybe would slow down a little bit this year.

We're not slowing down.

It's kind of speeding up funny enough.

I don't think courses are dead.

I think they're changing.

I think one thing about courses is instead of giving people 10 hours to watch, give them a bunch of skills so that they can get the outcome that you're trying to teach them to do.

Just give them skills instead.

In 2016, my agency and I were doing some work for Amazon.

And I got to know a machine learning scientist who worked at Amazon.

He basically said the kind of prediction and forecasting that we do with numbers and metrics, that will happen with text and eventually images and audio.

That same mechanism of prediction and essentially autocomplete, that same idea existed in machine learning way back when.

And then that became generative AI that we use now.