AI ENGINEERING
Build agents around the way your team works.
AI agents can handle a growing range of development tasks. Making them effective in everyday engineering work requires the right domain knowledge, tools, and execution flow.
For systems engineering and performance optimization, this might mean deploying different model and data configurations, running experiments in parallel, and coordinating results. Without sufficient context and workflow support, agents can struggle to complete these tasks or spend unnecessary tokens rediscovering how your systems work.
FROM ANALYSIS TO IMPLEMENTATION
Effective agent knowledge starts with well-maintained skills and documentation. It also requires an understanding of the codebase and the systems around it.
We analyze source code, system structure, and operational workflows, then organize that information into concise, accessible references agents can use. We help maintain this knowledge as your systems evolve, so agents can find relevant context without repeatedly exploring the same ground.
Long-running workflows often require changes to the agent loop itself: when to call tools, how to respond to messages, when to drive another system, and where to involve a person.
We build dedicated tools and integrate system communication, task state, and user interaction into the harness. We also control when knowledge enters the context, loading what is needed for the current task to reduce unnecessary overhead.
This gives agents the structure to coordinate experiments, follow progress, and continue work across systems over extended periods.
LET'S WORK TOGETHER
Tools such as Codex and Claude Code provide a strong foundation. We help your team determine where skills and documentation are sufficient, where the harness needs extending, and where a custom implementation adds value.
From knowledge organization to agent-loop development, we build around your actual workflows—improving token efficiency and enabling tasks that depend on deeper integration with your systems.
Projects are scoped and quoted individually.