2026.03.20
Core Components: LLMs, Tools, and Memory Essentials
Explore the foundational components of modern AI agents: Large Language Models (LLMs) as the brain, Tools as their external capabilities, and Memory …
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2026.03.20
Equipping Your Agent: Integrating and Using External Tools
Discover how to equip your autonomous AI agents with external tools and APIs, enabling them to interact with the real world, perform actions, and …
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Chapter 4: Tool Use & Function Calling: Extending LLM Capabilities
Learn how to extend LLM capabilities with tools and function calling for real-world applications.
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Crafting Agent Control Systems: Guiding Actions and Tool Use
Learn how to build robust control systems for AI coding agents to guide their actions, manage tool usage, and ensure reliable, goal-oriented behavior. …
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Unleashing AI Agents: Building Smart, Automated Systems
Discover how to build, deploy, and manage intelligent AI agents and automated workflows using Trigger.dev v4-beta, integrating tools and …
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Building Your First Agent: A Hands-On Autonomous System Project
Get hands-on building your first autonomous AI agent using Python and LangChain. Learn to integrate LLMs, tools, and memory to create a smart research …
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Chapter 14: Hands-On Project: Building a Smart Research Assistant Agent
Learn to build a Smart Research Assistant Agent using agentic AI principles and tools.
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Chapter 16: Hands-On Project: Building a Collaborative Multi-Agent System
Learn to build a collaborative multi-agent system using Python and LLMs, enhancing problem-solving through collective intelligence.
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