When I started building skill-validator, I didn't know I was starting a second full-time job as an AI researcher and tool builder. But here we are! My little project of researching what makes a good-quality Agent Skill has turned into two tools, skill-validator and afdocs, 6 live websites + 1 WIP, and a bunch of GitHub repos backing it all.
For my weekend project, I decided to build an analytics dashboard to keep an eye on activity as my projects grow. And since I'm all-in on the AI/agent space, I wanted to elevate AI and agent traffic to first-class consumer categories alongside human viewers.
This is all totally custom logic, with no analytics platform involved. No cookies, either, so I don't have to display any cookie warnings and my analytics aren't contributing to people getting tracked across the web. I'm just pulling my server logs and parsing them to collect analytics I care about.
I'll feed my findings here back into what I'm learning about how AI and agents use the web. This gives me another view into the whole problem domain. And now I'll have my own data points to help me evaluate the claims that services are making about what their tools are capable of, and how they're seeing AI consume web content.
(Spoiler alert, I've already been keeping an eye on platforms that are incorrectly reporting/attributing things they're seeing in their data... so now I'm going to have some data of my own to tell you why they're wrong 😉 )