The agent dynamically decides when to use a tool. For example, if asked about weather, it pauses text generation, calls a weather API, ingests the JSON payload, and translates that data back into a natural language response. Multi-Agent Collaboration
For professionals who want to get down to the code-level specifics, the work by Dr. Stefanos Drakos offers a unique approach. This 340‑page book is the first internationally to cover in parallel depth the two dominant frameworks defining how production AI agents are built today: the OpenAI Agents SDK and the Claude Agent SDK. Structured into 32 chapters across six parts, this guide includes four complete projects with full open-source code, making it invaluable for engineers who want to move beyond theory and demos. the agentic ai bible pdf
To understand Agentic AI, we must differentiate it from standard Large Language Models (LLMs). Traditional generative AI operates on a : you provide a prompt, and the model generates a response. The interaction ends there. The agent dynamically decides when to use a tool
As the document famously quotes in its introduction: "The chatbot answers your question. The agent solves your problem." Stefanos Drakos offers a unique approach