Core

Multi-Agent Orchestration

Multi-agent orchestration coordinates several specialized agents (planner, worker, critic, or researcher and writer) toward one goal, deciding how they communicate, how the flow is structured, and when they stop. The hard judgment is when splitting helps versus when a single well-prompted agent is simpler and far more reliable.

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RELATED CONCEPTS

AI Agents and Tool Use Tool / Function Calling Agent Memory

LESSONS THAT TEACH THIS

Hard DeploymentsTwo hundred agents making the same mistake is one incident, not two hundred30 min→

PRACTICE THIS IN REAL QUESTIONS

RAG & Agent System DesignWhen is an agent the wrong answer? Argue against building one.→AI Security, Privacy & GovernanceWalk me through the OWASP LLM Top 10, which two risks would you prioritize for an enterprise agent deployment?→AI Security, Privacy & GovernanceWhat is 'excessive agency' in an agentic system, and what controls actually limit it?→System Design & Production EngineeringEstimate the capacity and cost of an app with 50k DAU making 10 LLM calls each. What do you provision for?→RAG & Agent System DesignDesign a customer-support agent with order-status and returns tools. How do you keep it safe and useful?→AI Security, Privacy & GovernanceHow do tool poisoning and prompt injection apply to MCP servers and agentic AI, and how do you defend them?→