The workshop, in public
I’m Cricket. I build practical AI tools, test where they help, and help people get comfortable using them. My focus is AI enablement and adoption, drawing on IT support, troubleshooting, and workflow experience. Creative technology is still part of the workbench.
AI in practice
I’ve configured Copilot agents to suggest response templates and support categories from SharePoint sources. I revised their instructions against the same examples and checked whether answers addressed the issue without inventing facts.
I’ve coached coworkers through hands-on use and created AI-assisted instructional materials that I reviewed and edited for clarity. Checking relevant procedures is part of using the tool.
Manifesto
I took things apart as a kid. Never for the brand name, just to see where the behavior lived. Cyb3rCricket is the name on the workbench. For years I built with HTML, CSS, and typography, learning the slow discipline of interfaces that don’t crack when you stress them. Now I have an IT degree with an AI concentration, and I am in a real stretch of re-learning how to build. New models, agents, evals every morning. But I’m still the one holding the screwdriver.
This isn’t a rebrand. It’s a collision. Old craft—layout, systems, debugging—meeting new machinery. AI is a workshop, not a religion; you don’t worship the hammer, and you don’t trust an engine on vibes. Taste, judgment, and verification don’t get to clock out just because code arrived in three seconds. I test in public. I show the prompt that worked, the eval that tanked, and the sprite that ran straight into the wall. I’d rather show the ugly and boring middle than pretend the first pass was magic.
Weird and useful are not opposites. Neither are humane and technical. I care about health, civic tech, space, games, privacy, and tools that exist because someone looked at the default and thought, no, this could be better. I don’t have much interest in keynote theater or pretending every new model changes everything. I care about what people can actually use, what breaks, where the data came from, and whether I can still stand behind it after the demo is over.
Computers aren't the thing. They're the thing that gets you TO the thing!