The workshop, in public

Tools change. Taste does not get to clock out.

At a glance

  • Tier 3 End User Support Specialist — ServiceNow, daily since 2020
  • 30–50 cases a day across incidents, problems, service requests, and tasks
  • B.S., Information Technology (AI concentration) — Strayer University, 2025, summa cum laude
  • ServiceNow Certified System Administrator (CSA) — in progress, exam November 2026
  • Configured practical Copilot agents and coached coworkers on using them, with human review in the loop
  • Based in the greater Nashville area — remote preferred
  • Resume available on request

I’m Tommy — the person behind Cyb3rCricket. I spent years troubleshooting the part where software meets people. AI didn’t make that problem disappear. It made it more interesting.

My background is enterprise IT support and workflow systems, including years of working in ServiceNow. That work taught me to think about incomplete information, edge cases, procedures, frustrated users, and what happens after a tool reaches real people.

Now I bring that mindset to practical AI: finding useful workflows, configuring and building solutions, testing where they fail, documenting the limits, and helping people understand what to trust and what to check.

Cyb3rCricket is the public workbench for that work — case studies, field notes, evaluations, experiments, and the occasional strange idea that turns into something useful. I have a B.S. in Information Technology with an Artificial Intelligence concentration, graduating summa cum laude.

Commit City — a dark 3D skyline of green buildings at different heights, built from a year of GitHub contributions.
Commit City — a year of my GitHub contributions, turned into a 3D city.

AI in practice

The part I care about is what happens after the demo.

A technically impressive system can still fail if people do not know when to trust it, its knowledge goes stale, nobody tests the difficult cases, or it sits outside the workflow it was supposed to improve.

That’s why I think of testing, training, human review, and maintenance as part of implementation — not cleanup after the interesting part is over.

See how I’ve applied that in real support workflows →

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. New models, agents, and evals change the machinery. I’m still the one holding the screwdriver.

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 thing that looked good right up until somebody actually used it.

Weird and useful are not opposites. Neither are humane and technical. 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 information came from, and whether I can still stand behind the result after the demo is over.

Computers aren't the thing. They're the thing that gets you TO the thing!

Message @Cyb3rCricket on X GitHub ↗

Contact: cyb3rcricket@proton.me

Open to AI Implementation, Enablement, Adoption, and related practical-AI roles — remote, based in the greater Nashville area.

Resume available on request.
I can start within two weeks' notice.