Agent Orchestration

Multi-agent demos are easy. Multi-agent systems that hold up in production are not. The hard parts are tool design, error recovery, memory boundaries, and orchestration that doesn’t spin out into infinite loops.

We build agent systems the way you’d build any other distributed system: with clear ownership between agents, typed tool contracts, eval harnesses, and a deep skepticism of demos that haven’t been stress-tested.

MCP servers, skills, subagents, custom tool layers — we use whichever pieces solve the actual problem, not whichever ones are trending this week.

What’s Included

• Multi-agent system design
• MCP server design and integration
• Tool-use patterns and typed tool contracts
• Skills and subagent architectures
• Agent memory and context management
• Workflow orchestration across long-running tasks
• Agent evaluation and regression harnesses

Key Benefits

Agents that finish what they start
Orchestration designed to terminate — not spiral.

Tools the model can actually use
Typed contracts and tight interfaces that don’t confuse the agent.

Observable end-to-end
Every tool call, every decision, every retry — logged and replayable.

Evaluated, not just shipped
Regression harnesses so an upgrade doesn’t silently break workflows.