Automation with n8n and AI Agents

Explore the graphical user interface of n8n to build workflows with nodes, triggers, parameters, and connections, and understand their JSON representation on the central canvas.

Create your first n8n workflow by defining a trigger, then build a web form for submissions and test executions, using pinning to reuse data and visualize outputs.

Configure an edit fields node to pre-process form data in n8n, trimming whitespace, lowercasing emails, formatting the DateTime, and creating a unique ID while preserving other fields.

Learn to use conditional nodes in n8n, starting with the if node to route flows by true or false, then switch and merge for routing and priorities (high, normal, low).

Explore how to add a looping node in n8n to process lists by looping over items, split out into separate items, and manage multi-item workflows with wait and merge.

Finish an n8n workflow by exporting data to csv and other formats, using convert to file and data transformation, then deploy and test production links.

Learn to create and use Google credentials in n8n, enabling access to Sheets, Drive, Gmail, and Calendar via OAuth 2.0, including cloud and self-hosted setup.

Connect workflows to Google Sheets with n8n, append a row to an existing sheet, and map form fields: ID, name, email, date, and message into a seamless automated flow.

Connect the flow to Gmail and send automatic messages from a form, using a send message node, credentials, and html formatted content, then run the workflow to deliver the email.

Learn how webhooks in n8n let external apps push real-time data to your workflow via post requests, contrasting proactive webhooks with reactive apis and enabling seamless integrations.

Connect N8n with a rest api to fetch data via http requests, use restful endpoints, and save results to Google Sheets, converting Unix timestamps for readability.

Use n8n to perform web scrapping by parsing html with css selectors, extract five latest Hacker News articles, and email them in a daily workflow.

Discover how to build intelligent agents in n8n using generative AI and LLMs. See how memory and tools empower autonomous reasoning to select actions and automate tasks.

Create your first n8n agent in the cloud, connect it to a large language model via OnChatMessage, and use chat model, memory, and tools with a free llama4 option.

Explore prompts and prompt engineering to guide AI effectively. Learn to craft specific or creative prompts, use system and role prompts, and test variations across models.

Explore memory and tools in n8n ai agents, storing conversation history by session ID, managing context with a 5-item window, and triggering real-world actions via http and rss tools.

Learn to design a multi-agent system with an orchestrator and specialist agents, each with its own tool and prompt, enabling autonomous reasoning and structured workflows.

Classify chat messages automatically using an AI agent or n8n text classifier to route into general question, feedback, technical issue, or other, with a pre-classification step and switch-based branches.

Automate monthly data insights by building a workflow that reads a Google Sheets dataset, analyzes with AI, and saves a detailed report in Google Drive with a summary email.

Finish the project by connecting data to an llm via a basic llm chain, crafting the prompt, and generating a concise executive summary with Google Gemini and n8n.

Build a FAQ chatbot that uses retrieval augmented generation (REC) to answer questions from your documents, supported by embeddings and a vector database to preserve privacy and accuracy.

Build a retrieval augmented generation workflow in n8n using a vector database of embeddings for semantic search, chunk documents, generate Gemini embeddings, and store them in a Supabase vector store.

Develop retrieval and generation for the reg process using vector embeddings in VectorDB, connect to chat model Google Gemini 2.5 Flash, and store memory with PostgreSQL for n8n chat history.

Learn to automate sentiment analysis of customer feedback using n8n and ai to classify comments as positive, neutral, or negative, then store results in a database and generate dashboards.

Finish the sentiment classification project and save results to a Supabase database by creating a feedbacks table, inserting comments, dates, and sentiment values, while preventing duplicates before analysis.

Create a telegram-based ai assistant powered by an n8n workflow that handles customer messages 24/7, provides instant responses, and scales with integrations while freeing human agents for complex tasks.

Connect Telegram messages to an AI agent in n8n, implement per-user memory, and query a Google Sheets menu with a dedicated tool using the Gemini model.

Learn how to modularize n8n workflows with sub-workflows, using the ExecuteWorkflow node to call child workflows, apply the dry principle, and boost readability, maintenance, and AI agent capabilities.

Master advanced scheduling and failure resilience to create robust n8n automations. Leverage the schedule trigger and Chrome expressions for precise timing, and configure retries and error workflows for reliability.

Connect n8n to a database and execute sql queries to fetch and summarize data from feedbacks using select, where, order by, group by, and count for insights and weekly reports.

Analyze and generate images using n8n and AI agents through computer vision, multimodal LLMs, and Gemini models to enhance marketing, e-commerce, media management, and content creation.

Recap automation with n8n and AI agents, covering cloud and self-hosted setups, core nodes and workflows, external connections like Google Sheets and emails, four hands-on projects, and sub-workflows.

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