Overview
Most multi-agent systems fail because agents are designed by task decomposition instead of capability specialization. Teams create "Step 1 Agent", "Step 2 Agent", "Step 3 Agent" — which breaks when the workflow changes or steps need to run in parallel.
The Agent Team Design Framework builds agent teams based on capability domains — where each agent is a specialist in one area (data validation, risk assessment, content generation) and can be composed into different workflows without redesign.
What you get: - Capability domain mapping (what distinct capabilities does this system need?) - Agent specialization design (one agent per capability, not per workflow step) - Collaboration protocol (how agents request work from each other) - Boundary definition (what each agent can/cannot do) - Performance metrics per agent (throughput, accuracy, latency) - Team composition patterns for common workflows
Built for: AI architects, engineering leads, and product teams building multi-agent systems that must scale beyond the initial use case — where agents are reusable components, not single-purpose scripts.