About 67AI Lab

67AI Lab is an independent engineering lab exploring Agentic AI and the systems required to make autonomous software reliable, observable, and useful in the real world.

The lab focuses on learning by building: turning research ideas into working systems, evaluating them under realistic conditions, and documenting what works and what does not.

What We Explore

Agentic AI

Architectures and systems for autonomous, tool-using, and self-improving AI agents.

Agentic SRE

Applying Agentic AI to production systems, including autonomous troubleshooting, incident response, observability, reliability engineering, and chaos engineering.

Agentic AI for Scientific Research

Using AI agents to accelerate scientific discovery, literature analysis, research workflows, experimentation, and knowledge synthesis.

AI-Native Software Engineering

Rethinking software development around AI agents, autonomous engineering workflows, and human-agent collaboration.

Distributed Systems & Networking

Cloud systems, Internet routing, BGP, and infrastructure experimentation.

Principles

Learn by building. Working systems reveal problems that architecture diagrams and papers often hide.

Systems, not demos. The focus is end-to-end systems — reliability, observability, evaluation, infrastructure, and the operational failure modes that only show up in production.

Open exploration. Experiments may succeed, fail, or change direction. Useful findings and engineering lessons are documented and shared.

Lab Infrastructure

67AI Lab operates independent compute and networking infrastructure for systems research, networking experiments, and Agentic SRE.