Work
What I have built
Agents that use computers, and the runtimes, sandboxes, and harnesses they need to do it unsupervised. Two companies of my own before the current one.
Memfold AI
Computer use and AI agents, exclusively. Teaching models to operate real software the way a person does, and building the runtime underneath so they can do it unattended.
Midsphere AI
An agents company. I worked on general agents and the parts they run on: sandboxes, multi-agent networks, and the framework holding them together.
- #22
- Terminal-BenchSeptember 2025
- 70.76%
- GAIA, test splitHugging Face leaderboard
- 5.5 / 6
- IMO 2025multi-agent net on Gemini 2.5 Pro
Limelight Social
A gamified video platform for creators. I built the whole thing by hand, without AI: recommendation engine, video processing pipelines, custom models, backend, and the Android and iOS apps. It reached 1,200 users and 2TB of video streaming before I wound it down in October 2024.
- 1,200
- users
- 2 TB
- video streamed
- 1.5 yr
- start to wind-down
Hazel.gg
A gamified social platform: a Flutter client on a Django core, split into separate engines for feeds, progression, and ads, with a topic-classification model layer feeding them.
Open source
Things I have shipped
A computer-use agent that does not take over your computer. An MCP server driving macOS apps through the accessibility tree in the background — no cursor moved, no focus stolen.
An agent framework for distributed systems, with Temporal and E2B support. Memory, context assembly, and token pressure handled by default rather than by configuration.
Files handed to a model as densely packed images instead of text. Roughly 7× more code per token on a high-resolution vision model.
