AI Agents
Build autonomous AI agents that reason, plan, and take action
Showing 13-24 of 25
Building a Financial Analyst Agent with MCP
Create an AI financial analyst using CrewAI, Ollama, and MCP servers. Build agents that analyze markets, evaluate investments, and generate reports.
Building Your First AI Agent: A Practical Tutorial
Step-by-step guide to building a functional AI agent from scratch. Learn the core patterns, implement tools, and deploy your first agent.
Level 1 Agents: Basic Responders Explained
Understand Level 1 agents - the foundation of agentic systems. Learn when simple responders are enough and how to build them effectively.
Level 5 Agents: Fully Autonomous AI Systems
Explore fully autonomous AI agents that generate and execute code independently. Learn safety patterns, supervision strategies, and responsible autonomy design.
Autonomous AI Systems: How Agents Think and Act
Deep dive into how AI agents achieve autonomy through reasoning loops, tool use, and self-correction. Understand the mechanics behind autonomous systems.
50 Real-World AI Agent Use Cases for Developers
Discover 50 practical AI agent use cases across development, business, and creative domains. Real examples of how agents are transforming work today.
Tools and Tool-Use in AI Agents: A Complete Guide
Master the art of integrating tools into AI agents. Learn tool design, MCP servers, custom tools, and best practices for connecting agents to the real world.
Memory Systems in AI Agents: Short-term, Long-term, and Entity
Understand how memory transforms AI agents from stateless responders to intelligent systems that learn and remember. Implement all three memory types.
Guardrails for AI Agents: Ensuring Safe Automation
Learn how to implement guardrails that keep AI agents on track. Prevent harmful outputs, maintain boundaries, and ensure reliable agent behavior.
Building an Agentic RAG System: Complete Tutorial
Build a retrieval-augmented generation system with agentic capabilities. Learn to combine CrewAI, Firecrawl, and LitServe for intelligent document retrieval.
Agent vs LLM vs RAG: Understanding the Key Differences
A clear comparison of AI agents, large language models, and RAG systems. Learn when to use each approach for your AI applications.
Role-Playing in AI Agents: Why Specificity Matters
Learn how role-playing techniques dramatically improve AI agent performance. Specific roles, personas, and contexts lead to better results.