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How should you build AI Agents in 2026? I've explained each step with my learnings below. 𝗦𝘁𝗲𝗽 1 – 𝗚𝗶𝘃𝗲 𝗮 𝗖𝗹𝗲𝗮𝗿 𝗧𝗮𝘀𝗸 • Define one focused responsibility for the agent. • Set clear objectives, constraints, and expected outputs. 𝗟�

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c

Simple explanation of Traditional RAG vs Agentic RAG vs MCP. 1. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) • 𝗦𝘁𝗲𝗽 1: 𝗨𝘀𝗲𝗿 𝗮𝘀𝗸𝘀 𝗮 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻. Example: “𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘤𝘢𝘱𝘪�

Your AI sucks because it’s stuck at Level 1. You can easily take it to Level 3. I've explained below. 𝗦𝘁𝗲𝗽 1 – 𝗕𝗮𝘀𝗶𝗰 𝗟𝗟𝗠 (𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴) • This is the simplest level of AI systems. • You give input text or a docu

The Missing Piece in AI Agent Ecosystems: An Agent Search Engine & Centralized Registry The A2A (Agent2Agent) protocol, introduced by Google Cloud, is a significant step forward. It standardizes how agents communicate, enabling them to securely exch

Enterprise AI agents are systems, not simple prompts. Some teams use a single agent with tools. This works well for simple automation tasks. Structured work often uses agents in sequence. Each agent handles one clear stage. At scale, tools are cen

3 core protocols behind AI agents. I’ve explained each one in simple steps. 1. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) • 𝗠𝗮𝗶𝗻 𝗣𝘂𝗿𝗽𝗼𝘀𝗲: It helps AI models (LLMs) use extra information by connecting them to tools or databases.

Steps to building Agentic AI systems from scratch. I've given a simple detailed explanation below. 𝗦𝘁𝗲𝗽 1 – 𝗚𝗣𝗨/𝗖𝗣𝗨 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 (Compute Layer) • This is the engine that powers all AI computations. • You rent computing power to run y

🧠 AI Agents: Explained for Non-Tech Builders A timeline breakdown of what they are, how they work, and why they matter (with real examples). (00:00–01:22) | LLMs: Smart but Passive Tools like ChatGPT and Claude are built on LLMs. They’re great at

Most people overlook these basics of AI Agents. I've explained it in a very simple way below. 1. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 An AI system that observes its environment, information, makes decisions, and takes actions to achieve a goal. 2. 𝗟𝗟𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲