Why it mattered
AI tooling needs to be tested against real tasks, not just demos, to understand where it helps and where it can cause risk.
AI Automation Research
Testing CLI-based AI tools against documented infrastructure tasks and learning where automation needs boundaries.
What changed
The research page shows curiosity and caution: useful automation, but not blind automation.
Build summary
- Compared AI-assisted infrastructure workflows across documented tasks.
- Focused on repeatability, reviewability, and safe boundaries.
- Used the homelab docs as context for realistic experiments.
Practical skills
Related Writeups
Notes connected to this project
Self-Hosted AI Gateway
Built and debugged a local AI routing service with persistent workflow context and documented edge cases.
Read writeupMCP Server For Homelab Control
Designed a controlled tool layer for AI-assisted homelab operations and safe repeatable checks.
Read writeup Contact
Open to junior networking, SOC, NOC, MSP, help desk, and cybersecurity internships.
I bring documented hands-on practice, public-safe writing, and the discipline to explain what changed and why.
nazeemdickey@masternazz.com • Boynton Beach, FL