Agent Led Workstreams

Agent Definition

We decompose target workstreams into discrete functional units, then specify each agent's scope with precision: bounded responsibilities, explicit capability constraints, defined input/output contracts, inter-agent dependencies, and escalation conditions. Ambiguity at definition time compounds at runtime.

Harness Construction

The harness is the execution environment — orchestration layer, tool bindings, memory architecture, retrieval infrastructure, and inter-agent communication protocols. We engineer harnesses for observability and control, with structured logging, deterministic fallback paths, and configurable execution boundaries.

Metacognitive Learning

Harnesses are instrumented to monitor their own performance: tracking confidence trajectories, identifying systematic failure modes, and accumulating structured feedback across engagements. The result is a system that compounds in capability over time rather than degrading toward entropy.