# Most people think Agentic AI is just "ChatGPT + tools"
Canonical: https://social-archive.org/tgroenwals/2YUfsOF1it
Original URL: https://www.linkedin.com/posts/lfrodrigues_most-people-think-agentic-ai-is-just-chatgpt-share-7474425003812360194-2-rJ/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAUj9ABA6XwLJ3RcHE4FACjTijtAT4klvY
Author: Luís Rodrigues
Platform: linkedin
## Content
Most people think Agentic AI is just "ChatGPT + tools" They're wrong. This diagram shows the full stack. Five layers. Each one matters. Most failures happen in layers four and five. Not in the models. 𝟭/ 𝗔𝗜 & 𝗠𝗟 (𝗧𝗵𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻) Data becomes decisions here. Classical learning. Supervised, unsupervised, reinforcement. 𝟮/ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗧𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲) Neural networks. Transformers. The machinery learns patterns at scale. 𝟯/ 𝗚𝗲𝗻𝗔𝗜 (𝗧𝗵𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲) LLMs generate content. RAG pulls context. Multimodal models handle text, image, audio, video. The output layer. 𝟰/ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 (𝗧𝗵𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻) AI becomes operational here. → Planning. ReAct, Chain-of-Thought, Tree-of-Thought. → Tool use. Orchestration. → Context management. State and history. → Human-in-the-loop oversight. 𝟱/ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 (𝗧𝗵𝗲 𝗦𝘆𝘀𝘁𝗲𝗺) Autonomy at scale. → The most underestimated layer. → Governance. Safety. Guardrails. → Observability and tracing. "Why did it do that?" → Memory governance. Retention policies. → Rollback. Failure recovery. → Cost management. Resource management. → Multi-agent coordination. Clever algorithms don't guarantee reliability. Architecture does. Without audit trails, debugging capabilities, reversal mechanisms, and clear boundaries, you haven't built autonomy. You've created an unpredictable script. 𝗦𝘁𝗼𝗽 𝗮𝘀𝗸𝗶𝗻𝗴: "Which technology should I pick?" 𝗦𝘁𝗮𝗿𝘁 𝗮𝘀𝗸𝗶𝗻𝗴: "How does this system behave when things go wrong?" -- I’m building a newsletter to go deeper: Build What Matters. Weekly drops on AI agents + emerging workflows. Subscribe Here 👉 https://lnkd.in/eHFS2ZnY ♻️ Repost to help your network. ➕ Follow Luís Rodrigues for practical AI + Business insights