AI Agents & Autonomous Workflow Automation
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Agent Architectures and Reasoning Patterns
What Turns a Language Model into an Agent
Preview
The ReAct Pattern of Reasoning and Acting
Plan-and-Execute and Choosing Your Architecture
3 lessons
Tool Use and Function Calling
How Function Calling Actually Works
Designing Tool Schemas Agents Can Use Reliably
Handling Tool Errors and Unreliable Calls
3 lessons
Building Agents with LangGraph and AutoGen
Modeling Agent Workflows as Graphs in LangGraph
Conversation-Driven Agents with AutoGen
Testing and Debugging Agent Systems
3 lessons
Memory Systems for Agents
Short-Term Memory and the Context Window Budget
Long-Term Memory with Retrieval and Stores
Episodic Memory and Learning from Past Runs
3 lessons
Multi-Agent Orchestration
When Multiple Agents Beat One
Orchestration Patterns from Supervisors to Swarms
Agent Communication and Shared State
3 lessons
Guardrails Oversight and Production Deployment
Why Agents Fail and What Reliability Really Means
Permissions Guardrails and Least-Privilege Actions
Human-in-the-Loop Design and Production Observability
3 lessons
Memory Systems for Agents
Long-Term Memory with Retrieval and Stores
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