[email protected] Denver, CO
Paul Barrick
Building agentic systems and marketing infrastructure that ships in days, not quarters.
I build software with AI agents — Optimus (a context engine for engineering teams), the harness layer that lets it swap models, and a steady stream of musings on what changes when development becomes agentic.
What I'm shipping
Optimus and two of the components that make it more than a kanban tool.
Optimus
v0.9 · in productionoptimus
An agent-native engineering platform. Plans, stories, docs, git history, goals, and daily flow all live in one composable world-context engine — built so a small operator + a fleet of agents can ship like a large team.
Test-driver
live · scheduledoptimus / test-driver
An agent that walks a feature end-to-end, captures evidence, scores severity, and writes the run manifest back into nexus_items. Runs on a weekly LaunchAgent or on demand — and dogfoods itself by walking the test-drive UI.
Nexus
16 types · in productionoptimus / nexus
A universal world-context primitive. 16 composable ContextTypes (docs, stories, plans, git history, goals, daily notes, calendar, memory, …) sit in one table, cross-linked, embedding-aware. One query language, every source.
Recent writing
Notes from the build. Updated as I ship.
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What happens when the party's over.
Token prices have been falling for two years. They will not fall forever. Here is how I am architecting agentic systems to survive the day one provider stops being economical.
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The PCMS Manifesto: Building a Personal Context Management System
Why Personal Knowledge Management Systems fall short in the age of AI agents — and how a Personal Context Management System built on Obsidian, Qdrant, and Supabase changes everything.
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The Hidden Cost of Building the Future: Executive Burnout in the Age of Agentic AI
Why the leaders building autonomous AI systems are uniquely vulnerable to burnout—and what the data reveals about protecting yourself in the agentic era.