Building AI Agents
5 Topics
1
Tool Use (Function Calling)
Enabling LLMs to interact with external APIs with strict schema enforcement.
High - Core agent capability
2
MCP (Model Context Protocol)
The USB-C standard for connecting AI agents to tools, data, and APIs.
High - Emerging industry standard by Anthropic, adopted by OpenAI, Google, Microsoft.
3
Multi-Agent Architectures
Supervisor, Pipeline, Debate & Swarm patterns with architecture diagrams.
High - Core system design question at AI-first companies.
4
LangGraph & State Machines
Building cyclical, stateful agent workflows with graph-based state machines.
High - Most enterprise agent systems use graph-based state machines.
5
A2A (Agent-to-Agent Protocol)
Google's open protocol for agents to discover, communicate, and collaborate across platforms.
High - Emerging standard for cross-platform agent interoperability.