Free Lesson
Build a Team of AI Agents
60 min
Oct 29, 2026 12:00 PM
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What you'll learn
Split one agent into roles with one job each
A planner, an engineer and a reviewer, each with its own prompt and model.
Scope each agent's tools through an MCP gateway
Each agent calls only the tools its role needs, and every call is logged.
Decide when a second agent pays for itself
Compare the team with a single agent on quality, latency and token cost.
Why this topic matters
One agent with every tool makes a good demo; a team of agents with one job each is what holds up at work. Most multi-agent setups break at the hand-off: context is lost, two agents repeat the work, or one calls a tool it should never touch. Live, I build a planner, an engineer and a reviewer with the Claude Agent SDK, each scoped through an MCP gateway, taking one issue from plan to pull request. Part 2 of 7 in the Agentic AI Systems series.
