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Notion ReAct Planner Agent

The Notion ReAct Planner Agent is a smart, reasoning-driven daily planning system powered by a ReAct (Reason + Act) AI agent, deeply integrated with Notion. Unlike traditional task automation tools that follow fixed rules, this system uses structured reasoning to understand user intent, plan actions, and intelligently interact with tools to manage daily workflows. At its core, the project implements the ReAct agent architecture, where the AI alternates between reasoning steps (thinking about what to do next) and actions (calling tools such as Notion APIs or external services). This enables the agent to break down natural language instructions—like planning a day, adding notes, or managing schedules—into logical steps and execute them reliably.

27 lectures

What You Will Learn

Mastering the ReAct Pattern for AI reasoning
Building tool-using AI agents
Designing multi-tool agent pipelines
Structuring production-ready AI applications
Docker
Building CI/CD pipeline
Deploying AI agents to production environments (AWS)

System Architecture

Notion ReAct Planner Agent Architecture Diagram

High-level architecture overview of the Notion ReAct Planner Agent .

What You'll Build

  • Rapid Prototyping using Jupyter Notebook to understand concepts and implement ReAct Agent with tools in isolation
  • Implement the code of ReAct Agent in Modular manner
  • Add logging
  • API Construction: Build high performance HTTP server using FastAPI
  • Used Pydantic to ensure strict data validation for inputs and outputs
  • Create a clen and responsive chat interface using HTM, CSS and JS
  • Dockerization: Write a multi-stage dockerfile for ReAct agent Modular code
  • CI/CD Pipeline: Configure Github Action workflows for ci-cd
  • Deployment on AWS EC2
Notion ReAct Planner Agent
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