LLM

Territory Grounder is an autonomous SRE agent that commits a prediction before it acts, then lets separate code decide whether reality agreed. The model that proposes a remediation never scores its own outcome, and no mutation runs on a belief the system has not independently checked. Territory Grounder is an open-source, self-hosted SRE platform: an LLM agent ingests alerts, chat messages, and tickets, triages incidents across Kubernetes, hypervisors, network, and storage, and (from Phase 2 on) executes remediations inside a mechanical governance envelope. It is the ground-up rewrite of Agentic ChatOps as a distributable product: Go and Temporal instead of Python, n8n, and cron. Same control logic, none of the code. ...

I build infrastructure. For the last few months I have also been building an agentic system that runs it: software that watches a few hundred machines across five sites, predicts what a failure will do before it spreads, and corrects itself when reality disagrees. Somewhere in that work I noticed something I did not go looking for. The loop I had engineered for servers was the same loop running inside my own head. And inside the language models I was building with. And, if you follow it far enough, inside the idea of a self. ...