🧠 Build AI agents with Think-Plan-Act architecture using Llama-4 reasoning

About This Workflow

What This Workflow Does

This n8n automation workflow enables users to build AI agents using the Think-Plan-Act architecture with Llama-4 reasoning. It integrates LLM-powered reasoning, planning, and action capabilities into your automations. By utilizing prompts, schemas, and full agent logic, you can create sophisticated AI agents to automate tasks and workflows.

Who Should Use This

This workflow is ideal for developers, engineers, and businesses looking to integrate AI-powered reasoning and planning into their automations, especially those interested in chatbot development.

Key Features

• LLM-powered reasoning: Leverage the power of large language models to drive decision-making and problem-solving in your automations.
• Think-Plan-Act architecture: Build AI agents that can think, plan, and act on tasks and workflows using a structured approach.
• Customizable prompts and schemas: Tailor the workflow to your specific needs by creating custom prompts and schemas for your AI agents.
• Full agent logic integration: Integrate the workflow's AI agent logic into your existing automations for seamless operation.

How to Get Started

Import the workflow into your n8n environment and customize the prompts, schemas, and agent logic to suit your specific needs. This plug-and-play workflow is designed to be easily adaptable and can be tailored to various use cases, from chatbot development to automating complex workflows.