Luís Rodrigues

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.

Most companies are building AI wrong.
Here's why.

Most people treat AI like one thing.

It's five very different capabilities that do very different jobs.
Confusing them is probably why half the implementations fail.

Here's my view:

1. PREDICTIVE AI & MACHINE LEARNING
   The boring stuff that makes money.

It reads your past data, flags risks, forecasts demand, and spots fraud. If you don't have this, you aren't ready for the rest.

2. PERCEPTION AI (DEEP LEARNING)
   Giving your business eyes and ears

This is machine vision that finds defects on a line, or OCRs old PDFs into structured JSON.