About
Why I built Tia N. List
Tia N. List (or threat intel analyst) began as my idea to turn the mass amount of cybersecurity news reporting into something actionable.
Every day, there's tons of vulnerabilities, breaches, exploits, being reported on, and staying on top of them is difficult and time consuming.
The system started off as a simple n8n workflow that collected a bunch of articles into a single "summarize this into a daily digest" prompt.
As it grew, I realized that a one-shot prompt wouldn't cut it, so I transitioned to using Hermes agent, collecting articles and sifting through content through multiple turns to produce a daily digest.
Since then, I've switched over to using oh-my-pi as my agentic harness, with openhands automations as the scheduling layer, and turned it from a once a day digest to a continuous system.
The backend model(s) changes over time, but I am usually using open weight models. I'm currently running this off the OpenCode Go coding subscription with deepseek-v4-flash, which hardly makes a dent in my subscription usage. When I started, I was using GLM 4.6 and had to limit the n8n digest to 40 articles to stay within reasonable context limits for a one shot prompt.
As a cybersecurity practitioner, I actually read these digests every day and find it useful to stay on top of the quickly growing threats. I'm open to feedback to please reach out on GitHub with any thoughts you may have!