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Courses/Production agents with LangGraph and n8n/LangGraph, n8n, and CrewAI: What to Use

LangGraph, n8n, and CrewAI: What to Use

The question isn't "which is the best framework," but which piece solves your problem with less risk. In production, you almost always separate two worlds: stateful orchestration and tool automation.

  • Distinguish LangGraph, n8n, and CrewAI without turning it into a tool war.
  • Choose architecture based on state, tools, human review, and team.
  • Design a small business agent before writing code.

Quick selection rule

  • n8n : use it for triggers, integrations, emails, CRMs, spreadsheets, webhooks, and flows visible to a small business.
  • LangGraph : use it when the agent needs explicit state, loops, branches, retries, memory, and fine-grained flow control.
  • CrewAI : use it for prototypes of agent teams with clear roles, when you want to express tasks and collaboration quickly.

Base design for Aulafy

Terminal
Input: email, form, issue, or n8n webhook
Classifier: LangGraph decides task type and risk
Tools: n8n executes external actions
Approval: human reviews before sending, deleting, paying, or publishing
Output: draft, report, ticket, or completed task
Log: what it decided, with what data, and why
Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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