Turn scripts into products
Package PowerShell, admin commands, and manual technician runbooks into approachable desktop tools.
AI-Built Operations Toolkit
I build tools for support, deployment, diagnostics, learning labs, and communications with assistance of AI.
- 13
- distinct tools
- 20
- screenshots
- Nov 2022
- AI practice began with ChatGPT 3.5
What this proves
AI was used as a development multiplier, not as a toy generator.
These projects turn real support work into usable interfaces: Active Directory password retrieval, repair workflows, remote diagnostics, package management, image/driver preparation, home lab setup, local server orchestration, and branded newsletter production. The practice began in November 2022 with ChatGPT 3.5 and grew into a repeatable way to ship internal tools.
Project evidence
A working library of AI-assisted applications
Filter by workflow area, then open any project to inspect the screenshot set and read what problem it solves.
Capability map
What this demonstrates you can achieve
The pattern is repeatable: find a messy workflow, encode the runbook, wrap it in a clear interface, and use AI to accelerate iteration while keeping domain judgement in the loop.
Standardize support quality
Make diagnosis, repair, and reporting less dependent on individual technician experience.
Build across platforms
Use SwiftUI, web interfaces, and Windows tooling where each workflow naturally belongs.
Ship internal tools quickly
Move from operational pain point to functional prototype with screenshot-level proof of execution.
Demo narrative
A concise walkthrough for interviews or stakeholders
Since November 2022, starting with ChatGPT 3.5, I have used AI to convert real operational friction into practical applications. This demo shows tools for desktop support, system deployment, diagnostics, directory access, learning environments, local server management, compression utilities, and facilities communications. The common thread is workflow translation: I define the problem, guide the product shape, validate the technical behavior, and use AI to accelerate interface and implementation work.
Next step
Use this as a live demonstration.
Walk viewers through the problem categories, open the strongest screenshots, and explain how AI shortened the path from support pain point to usable application.
Start the demo