Agentic AI Explained: The Complete 2026 Guide

Most people think they understand AI, but they only understand the part where you type something into ChatGPT and it types something back. The gap between that and building an actual agent that can go do work for you is enormous. In this video, I break down the entire AI stack in 30 minutes. We start with how large language models actually work, then climb through transformers, context engineering, RAG, reasoning models, and finally the most important distinction in AI right now: the difference between a model and an agent. A model thinks. An agent thinks and acts. By the end, you'll understand how these systems work better than 95% of people posting about AI on the internet. Chapters: 00:00 – The Gap Nobody Tells You About 01:51 – How LLMs Actually Work 05:04 – The Transformer Architecture 08:42 – BERT vs GPT History 09:41 – Modalities and Multimodal Models 12:03 – Prompt to Context Engineering 16:45 – RAG Explained 20:21 – Reasoning Models 21:22 – Model vs Agent 22:27 – The ReAct Pattern 23:10 – Agentic Design Patterns 24:13 – AI Evaluations 26:43 – The Gen Academy 29:43 – Closing You’re right—that last version had titles only. Here’s a fully linkified, copy‑paste‑ready description block. Resources mentioned in the video (and more to explore): 👉 Join Mastering Agentic AI Certification by The Gen Academy (Aug & Oct Cohort) https://maven.com/aishwarya-srinivasa... Use code: SAVE20 for 20% discount 👉 My videos to watch next → Vector Databases Explained – deep dive on embeddings & storage    • Vector Databases Explained: The Complete G...   → RAG Explained    • RAG Explained in 12 Minutes   👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended) https://maven.com/p/6f5db3/mastering-... 👉 Agentic AI Foundations → Anthropic: Building Effective Agents https://www.anthropic.com/research/bu... → OpenAI: A Practical Guide to Building Agents https://openai.com/business/guides-an... → OpenAI Agents SDK https://developers.openai.com/api/doc... → OpenAI Agents SDK Python Docs https://openai.github.io/openai-agent... 👉 Agent Design Patterns → ReAct: Synergizing Reasoning and Acting in Language Models https://arxiv.org/abs/2210.03629 → Google Research Blog on ReAct https://research.google/blog/react-sy... → Reflexion: Language Agents with Verbal Reinforcement Learning https://arxiv.org/abs/2303.11366 👉 MCP and Agent Interoperability → Anthropic: Introducing the Model Context Protocol https://www.anthropic.com/news/model-... → Model Context Protocol GitHub https://github.com/modelcontextprotocol → Google: Agent2Agent Protocol https://developers.googleblog.com/en/... → A2A Protocol GitHub https://github.com/a2aproject/A2A 👉 Context Engineering for Agents → Anthropic: Effective Context Engineering for AI Agents https://www.anthropic.com/engineering... → Anthropic: Code Execution with MCP https://www.anthropic.com/engineering... → Anthropic: Writing Effective Tools for Agents https://www.anthropic.com/engineering... 👉 My Related Resources → Designing Agentic AI Systems https://aishwaryasrinivasan.substack.... → All you need to know about AI agent frameworks https://substack.com/@aishwaryasriniv...