Essa é a stack perfeita de IA em 2026 (só me copie)

Building a Powerful AI System Layer by Layer

Introduction to the AI System

• The speaker introduces an AI system that can perform tasks more efficiently than a full team, showcasing its potential through personal success stories.

• The speaker emphasizes practical application, promising to demonstrate how to build this system step-by-step without unnecessary theory.

Four Layers of the AI System

• The system is structured in four layers: Memory, Skills, Orchestration, and Arms. Each layer builds upon the previous one.

• Memory serves as the foundation, storing information about who you are; Skills define how tasks are performed; Orchestration manages teamwork; Arms execute actions across tools.

Understanding Second Brain Concept

• A common issue with current AI is that conversations start from scratch each time. The "second brain" concept utilizes Obsidian for efficient information storage and retrieval.

• This second brain contains essential details like business information, branding elements, pricing strategies, and performance metrics.

Practical Examples of Information Storage

• The second brain not only stores basic info but also captures patterns in processes. An example shows how new contacts are added dynamically based on interactions.

• Continuous information capture allows for detailed profiles of individuals and branding guidelines that inform design decisions.

Branding and Design Efficiency

• Branding serves as a visual guide for creating content. Having established branding simplifies requests made to the cloud-based assistant.

• By using consistent branding elements, the speaker demonstrates how quickly designs can be recreated or adapted for different platforms.

Navigating Information Efficiently

Cloud Navigation Mechanics

• The cloud system does not read all files at once; it uses a structured approach to access relevant data when needed.

• A specific file (cloud.md) acts as a map for navigating through various categories within the second brain.

Cost Efficiency in Data Retrieval

• This organized structure reduces costs associated with data processing since only necessary files are accessed during operations.

Transforming Knowledge into Actionable Skills

Skill Development Process

• Skills are defined as repeatable processes condensed into clear instructions for the cloud assistant to follow when executing tasks.

Example of Skill Implementation

• A practical example illustrates how motion design skills are documented with references and step-by-step guides for execution.

Leveraging Teams of Agents

Utilizing Multiple Agents

• Instead of relying on one AI model, multiple agents work together under orchestration to handle complex tasks efficiently.

Agent Roles Explained

• Different models (Fable 5.1 as orchestrator, OP 5.5 as primary developer, etc.) specialize in distinct functions to optimize performance and reduce costs.

Integrating Tools into Workflow

Tool Stack Overview

• Various tools enhance productivity: Evolution API connects WhatsApp communications; Supasel serves as a database; Notion provides accessible notes on mobile devices.

Automation Capabilities

• N8N is used for scalable automation projects while Zerni automates social media posting directly from edited videos.

Real-Time Application Demonstration

Creating Functional Outputs

• A live demonstration shows how prompts lead to immediate results in web page creation using integrated knowledge from the second brain and skills developed earlier.

Conclusion & Call-to-action

• The speaker encourages viewers to join their community for further learning opportunities focused on leveraging AI effectively in business contexts.