Production agent systems for a robotics program
I design and run production agentic systems with guardrails for a robotics program. It is multi-agent work where capability is bounded by hard safety limits, with a human on every consequential decision.
Systems that hold up under real stakes, for a real program, at production velocity. The discipline is not what an agent can do, it is what it is allowed to do, and that is exactly the line this work runs on.
The work
A robotics program runs on high-velocity data and tight reliability. It is the kind of environment where an agent that can act can also cause real damage, so capability is the easy half. The engineering is the bounds: deciding what an agent may do on its own, what it must hand to a person, and what it must never touch at all. I design and run that kind of system in production.
How I work
The throughline is the same one that runs across every system on this site: build capable agents, then spend the real effort on the leash. In a production setting with real consequences, that discipline is not optional, it is the job.
- Bounded autonomy by default. Agents act on their own only inside an explicit, reversible set of cases. The leash: anything outside that set stops and waits, it is not the agent's call to make.
- A human on every consequential decision. Routine, low-risk work runs unattended so people are freed from it. The leash: anything with real-world weight is gated to a person before it happens.
- Escalate, do not guess. When an agent meets something it does not recognize, it hands off. The leash: an unknown is a stop-and-ask, never an improvised action.
What it demonstrates
Designing and operating multi-agent systems where the safety floor is enforced, not hoped for. Running high-velocity data work end to end and keeping the pipeline honest. Translating evolving requirements into operator-level process, and shipping automation that holds up when it is left alone in production.
Guardrails
The posture every production system here runs under. Capability first, then the leash.
- NoIt cannot take a consequential action without a human. Routine work is allowed; anything with weight is gated.
- NoIt cannot act outside its known set. Autonomy lives inside an explicit, reversible boundary, and nowhere else.
- NoIt does not guess on the unknown. Anything it does not recognize is escalated to a person.
Stack and tools
My role
I designed and ran these production systems end to end: the agent design, the guardrails, and the operational discipline that keeps them safe day after day.
Links and verification
The production work for this program is not public, but the open-source systems on this site carry the same engineering posture in code you can read line by line.