n8n AI Agents & Automation: Build & Sell, No-Code 2026

Connect 350 plus apps to automate tasks with a no-code, open-source n8n; run locally or in the cloud, build AI agents and charts for business intelligence without heavy tools.

Defines automation as performing repetitive tasks without human input, using triggers and actions. Shows how llms like gpt-4 categorize emails and auto-reply, routing messages to the right inbox.

Explore how an ai agent perceives its environment, processes information, and acts to achieve goals using machine learning or rule-based logic, with chatbots and Netflix-style recommendations as examples.

Compare AI workflows and AI agents: workflows are deterministic sequences that execute steps, while agents autonomously plan and use tools to act, with models only calling tools.

Learn how a workflow in n8n connects trigger and normal nodes to automate processes, from form submission to appending a row in a sheet, email, and Slack updates.

Discover how a node in n8n performs specific functions like retrieving data or sending messages, and how trigger nodes initiate workflows via webhooks or scheduled events.

Explore static versus dynamic data in n8n workflows, including how dynamic inputs update during execution, how parallel executions and execution logs support debugging, and how webhooks trigger external services.

Demystify automation by treating your workflow as a recipe, with triggers, nodes, actions, and data driving outcomes.

Install n8n locally on Windows via NodeJS or Docker, run the provided command to install and start n8n, then access the local hosted interface to manage workflows, credentials, and executions.

Explore a live n8n demo showing how to create workflows, sign in and manage projects, and integrate apps like Gmail, Google Sheets, and Slack; learn pricing and AI agent concepts.

Explore the n8n interface overview to manage projects, create workflows, and leverage templates with AI agents using OpenAI, Gmail labeling, and routing to payment, inquiry, or invoices.

Master JSON basics for n8n workflows by exploring keys and values, data types, arrays and objects, and how to load, validate, and reference JSON across nodes.

Create a lead generation workflow in n8n that triggers on form submission, collects name, last name, and email, and appends the data to Google Sheets.

Demonstrate a no-code lead generation workflow that triggers from a custom form, sends emails via Gmail with dynamic customer data, and posts updates to a Slack channel.

Build and deploy an AI agent for real-time inventory management that adds new stock, updates items, and fetches exact quantities by wiring a trigger, memory, and tools in a workflow.

Build an AI agent for inventory management that stores the last five charts, fetches stock from a Google Sheet, updates quantities, and publishes a production chat link.

Develop and deploy an AI agent-based inventory management system using a production URL and client-facing interfaces, capable of retrieving, updating, and adding stock items in real time.

Build and deploy an AI agent to automatically sort incoming emails using Gmail triggers, label assignment, and switch logic for business, priority, newspaper, and spam.

Discover how to configure an ai agent with OpenAI in a no-code workflow, including creating credentials, choosing a chat model, and enabling memory and system messages.

Create an n8n workflow that triggers on row changes in a Google Sheet, uses OpenAI to analyze an image URL, and updates the sheet's analysis column with the result.

Build a basic LM chain to classify texts as gratitude, a request, or a complaint, read from Google Sheets, and update rows with the label using OpenAI.

Use the information structure node to extract fields such as name and date from email text. Test with Gmail messages, choose an OpenAI model, and populate a Google sheet.

Build an advanced ai agent that answers questions from retrieved documents using a vector store and embeddings, demonstrated with a chat trigger, pdf documents, openai model, and pinecone.

Explore building a question and answer chain using chat, vector stores, and retrievers to fetch context from documents and tailor response formats with data transformation notes.

Analyze invoices with artificial intelligence and save key fields to a Google sheet using a form. Create a name and single pdf invoice capture, then test submission.

Learn to extract information from a pdf by adding a note, matching document names, testing the extraction, and using artificial intelligence to filter specific fields for saving to Google Drive.

Configure an AI model by defining a prompt and selecting a JSON output to extract date, product, unit price, quantity, and total price from text for easy Google Sheets integration.

Master the split out feature in a no-code workflow to process multi-item invoices by splitting products, using Google Sheet and AI to automate extraction and save results.

Learn to call http requests within real-time workflows by configuring the URL and api key, passing query parameters, and handling get, post, and put calls to drive triggers and actions.