Self-Hosted AI: Building a Private LLM Stack with OpenClaw, Ollama, and Tailscale

There’s a certain appeal to running your own language model. No API costs, no data leaving your network, no rate limits, no terms of service to worry about when you feed it sensitive context. For anyone who works in security — or just values privacy — the idea of keeping inference local is worth the setup cost. ...

April 15, 2026 · 9 min · Jason, Cyber Professional

Zero Trust Access for the Homelab: Securing Self-Hosted Services with Tailscale

If you run self-hosted services at home, you’ve probably hit the remote access problem at some point. You want to reach something — a dashboard, a tool, an API — from outside your home network. The path of least resistance is to open a port on your router and point it at the service. It works. It also quietly puts that service on the internet, discoverable by anyone running a scanner. ...

April 15, 2026 · 11 min · Jason, Cyber Professional

How We Built CyberGrind

CyberGrind is a personal cybersecurity portfolio, threat intelligence platform, and educational resource — all running on free and open source tooling. This article documents how it was built: the design decisions, the architecture, how all the pieces connect, and the gotchas learned along the way. ...

April 2, 2026 · 11 min · Jason, Cyber Professional

Self-Hosted Threat Intel Pipeline

What I Built and Why Most threat intelligence dashboards are either expensive enterprise platforms or simple embeds pulling from someone else’s API. Neither felt right for a portfolio — one costs money, the other doesn’t demonstrate anything about your actual capabilities. ...

5 min · Jason, Cyber Professional