AI Agent
What AI agents are, how they autonomously plan and execute tasks, and the architectural patterns that distinguish agents from simple …
Tool-Use
ReAct Pattern - Reasoning and Acting in AI Agents
The ReAct pattern interleaves chain-of-thought reasoning with tool actions, enabling AI agents to think before they act and adjust based on …
Tool Use Pattern - Function Calling for AI Agents
Enabling LLMs to invoke external tools and APIs through function calling, extending model capabilities beyond text generation.
Amazon Bedrock AgentCore - Serverless AI Agent Hosting
How Amazon Bedrock AgentCore provides managed infrastructure for running AI agents at scale without managing servers.
Model Context Protocol (MCP) - Universal Tool Interface for AI Agents
What the Model Context Protocol is, how it enables AI agents to use tools through a standard interface, and server/client architecture.
Agentic AI
What makes AI agentic vs assistive, autonomous task execution, tool use, planning capabilities, and current limitations.
Agentic Workflow Patterns - From Simple Chains to Complex Orchestration
Chain, router, parallel, hierarchical, and loop patterns for AI agents. When to use each, error handling, and fallback strategies.
AI Agents - Autonomous Task Execution
What AI agents are, how they differ from simple LLM calls, the key design patterns, and what makes agents fail in production.