Agents that operate with evidence
Tool-using systems that plan, act, inspect, repair, and leave logs good enough for technical teams to trust.
Collaborate on hard systems
Build agent, robotics, and physical AI systems that can survive contact with reality.
Nick Liverman and Old World Labs are focused on agent-driven development, robotics automation, simulation, precision manufacturing, and hardware/software integration. The goal is practical frontier work: systems that act, measure, verify, and improve.
Hard problems
The interesting work is at the boundary between agents and real systems.
Robotics and lab automation
Workflows that connect software agents to instruments, simulations, robots, measurements, and physical constraints.
Physical AI and production tooling
Practical systems where AI, editor automation, robotics, manufacturing tools, and hardware/software integration meet.
Precision systems from source-backed work
Old World Labs history spans stereolithography patents, SPIE lithography records, microfluidics, and robotics automation.
Who should reach out
Signal matters more than credentials.
You have built real systems, not only prototypes or demos.
You can move between software, hardware, simulation, automation, or research constraints.
You care about verification, logs, tests, measurements, and repeatable workflows.
You want to work on hard agent and robotics systems without generic AI theater.
Current frontiers
Work that needs deep builders.
Agent-driven development environments for code, tools, editors, and production workflows.
Robotics and lab automation loops where agents can safely inspect state and trigger bounded actions.
Simulation and Unreal Engine workflows for testing embodied behavior before hardware deployment.
Precision manufacturing software that connects optics, motion, material processing, and measurement.
Infrastructure for custom agents that can be audited, constrained, and improved over time.
Proof chain
The pitch is grounded in public work, not generic frontier language.
Old World Labs connects precision fabrication, robotics, automation, and AI agents through a public record of patents, technical coverage, research references, and current agent-system work.