Research Operators
Agents that gather context from live sources, structure the signal, and hand back something a person can evaluate fast.
Agents
I’m interested in agents when they reduce cognitive load, preserve context, and make the next useful action easier. If the system becomes harder to inspect, it’s usually not worth keeping.
Agents that gather context from live sources, structure the signal, and hand back something a person can evaluate fast.
Operational systems around sourcing, enrichment, qualification, messaging, and campaign-safe execution.
Small agentic interfaces that reduce repetitive work for teams without burying the decision path.
My bar is simple: keep the human in control, keep the system legible, and make the output materially better than the manual version.
A lot of this work is informed by what I build at WhiteBridge.ai and by the operator problems that show up in growth, sales-tech, and research-heavy environments.