Last week, we gave a masterclass on AI to our padel network. Some of the things we covered were: where the tools are today, how to get the most out of them, and things you can start doing right now. We used padel clubs as the example, but honestly, everything applies regardless of industry. Here are a couple takeaways we wanted to pull out for you.
Let's get into it.
Russell:
We’ve found that agents perform best when you treat them like a member of your team – giving them the tools they need to succeed.
The first thing you do when you onboard a new member to your team is make sure they have a computer, and then you create an email account for them. You onboard them with access to all the platforms they need, and then you might provide onboarding docs with simple directions on how to use the platforms or where to find files.
We do the same with our agents now, too.
Over the last few months, the models have achieved reasoning skills that allow them to use computer programs in the same way that people do. Which means that with the right direction, agents can start taking work off your plate in very meaningful ways. You just need to give them the resources to do so.
See for yourself:
Julia:
You don't always have to build something custom. Sometimes the off-the-shelf tools are really good. If something already exists and solves the problem, use it.
PostHog is one of those tools. It has completely changed how we think about marketing and analytics. If you've ever dealt with Google Ads or Facebook's ad platform, you know the pain… it's a black box. In order to even get these tools set up, you first have to fight with engineers to implement tracking pixels. And then, you have to comb through dashboards full of metrics that don't make intuitive sense, and you’re never quite sure if the data you're looking at is telling you the full story (you’re also not sure if it was ever set up correctly).
PostHog has an MCP, which means you can use Claude Code to implement it directly into your site and avoid the pixel wars with your engineering team. But the real game-changer is that once it's set up, you can talk to your data in plain language. Where is my traffic coming from? Which ads are actually converting? What's working and what isn't? Instead of staring at charts and trying to reverse-engineer what they mean, you just ask.
If you're still wrestling with Google's ad dashboard, this is worth looking into.
Stay curious,
Julia & Russell
