Fieldguide

Run error analysis on real testing data and turn findings into fixes that make agent judgment repeatable.Build structured-output pipelines that convert model output into audit artifacts.Make quality, latency, cost, model-selection, prompting, and orchestration tradeoffs across long multi-phase runs.Turn ambiguous problems into plans, shipped features, and clear decisions about scope

Design and build agent-driven experiences for SOX control testing while determining appropriate levels of autonomy and auditor involvement.Own complex, end-to-end workstreams across the full stack and ship code from day one.Improve the reliability, repeatability, performance, and observability of long-running agents.Turn agent output into structured audit workpapers and other finish