Systems where people and agents ship together.
I build AI-native tools, agent control planes, and practical workflows that turn ambitious ideas into working software.
Things I’m building.
Live systems, useful experiments, and the infrastructure behind how I work with AI agents.
$ tex route --worker codex
texOS
Personal AI operating system — one screen to manage life and command a team of AI agents. Vault-backed memory, wiki, and skills served to agents over MCP.
- 01Brain selected a lane
- 02Context packet assembled
- 03Approval returned to Tex
Project index
What I’m learning.
Short, practical notes from building texOS and learning agentic engineering in public.
Notes on Agentic Engineering
Coming SoonField notes from building texOS and AI-native GTM systems — agents, harnesses, context infrastructure, and the tooling in between.
Visit the blogWhere the work started.
A GTM career that gradually turned into building the systems behind the work.
Built by doing.
I moved from selling software to building it, with agents as collaborators and receipts as the standard.
I'm an agentic engineer based in Salt Lake City. Most recently I worked on Replit's founding enterprise GTM team; before that I was founding GTM at Retool, where building AI-powered systems with Clay, Lindy, n8n, and internal apps made me realize the tooling was more interesting than the quota. Most of my spare cycles go into texOS, a personal AI operating system for managing life and commanding a team of AI agents. Outside of tech I'm into sim racing, hockey, photography, and golf.
Agentic Engineering
GTM Engineering
Building Blocks
Let’s build something useful.
Agent systems, product experiments, or a hard problem that needs a builder who can bridge the business and technical sides.