If you've made it here, you've found one of the few parts of this site that's actually written by a person. The aim is that the site as a whole lands closer to thoughtful experimentation than AI slop.
This site was born out of a need to experiment. I could see AI changing how software gets built, but reading about it wasn't enough. I needed real projects: places to find out where AI is genuinely useful, where it falls short, and what happens when you treat it less like a tool and more like a collaborator.
What emerged sits at the intersection of Salesforce, metadata, tooling, automation and AI. These aren't really separate projects as much as different threads of the same curiosity. Each one is a chance to explore what happens when traditional enterprise platforms collide with rapidly evolving AI capabilities.
There's never enough time to build everything, and AI raised new questions: what can be handed off, what still needs a human, and what happens in the space between. Those questions turned out to be as interesting as the projects themselves.
At heart, I like finding order in chaos: understanding complicated systems, connecting ideas that don't obviously belong together, and using technology to try things differently. Not because the old way is broken, but because "what if we did this differently" is usually worth asking.