AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

Explore automations and AI agents, with Zapier and Make.com. Cover APIs, llms, tokens, OpenAI API, pricing, models, API keys, function calling, and embeddings for vector databases and DirectX technology.

Define automations, AI automations, and AI agents, then demonstrate trigger-action workflows, AI brain LLMs, and tool calls that power autonomous tasks.

Understand how APIs enable client and server to communicate, connect software such as ChatGPT, Pinecone, and Google Sheets, and exchange requests and responses via documentation.

Gain a broad overview of automation platforms for ai automations and ai agents, comparing Zapier, Make, and n8n, and preview Lang Chain ecosystem and Flowise.

Explore how llms like ChatGPT, llama, and Gemini form the brain of artificial intelligence agents; learn about parameter files, run files, pre-training, fine-tuning, and token limits.

Learn OpenAI API pricing, project setup, and key management, including creating API keys, budgeting, and usage tracking across projects, with emphasis on models, tokens, and Europe region.

Explore test time compute and thinking models, where chain-of-thought prompts improve math, code, and science answers, while noting higher cost and slower performance for AI agents using function calling.

Understand function calling, where a language model acts as an operating system and calls calculators, diffusion models, browsers, Python, and other tools to empower AI agents and automations.

Discover how embeddings and vector databases enable retrieval augmented generation by uploading PDFs to create searchable knowledge, guiding LLMs with vector search and direct technology workflows.

Discover how automation and ai automation use triggers and actions, with llm-powered agents, api keys, and tools like n8n, lang chain, and vector databases.

Install the addon with nodejs (docker options available), build a first automation saving form submissions to Airtable, then explore time triggers, file export/import, and Google Cloud Console integrations.

Install n8n locally using Node.js or Docker, set up node version management with nvm, then explore the local interface with workflows, credentials, templates, and a quick overview.

Fix installation issues for n8n by managing node versions with nvm for Windows, listing and installing versions, and switching between them while ensuring admin rights.

Open the Node.js command prompt, run npm update -g, and restart the local n8n instance to apply the latest addon updates.

Test n8n for free without local installation using the browser-based web version; create an account, and enjoy a two-week free trial with no credit card required.

Build your first non-ai automation in n8n by creating a form submission trigger that saves data to Airtable as a new record, with test and production URLs and timezone-aware execution.

Explore the latest n8n workflow-builder enhancements powered by ai, including cloud-only updates, templates, data tables as a Google Sheets alternative, and building a knowledge assistant with llm-powered node automation.

Import and export workflows, download them as Airtable JSON, and explore templates, with options to import from file or URL and set prices to sell.

Set up a test workflow that uses a time trigger to search Airtable records, convert results to text, and save them locally as files on a scheduled minute-by-minute basis.

Connect google sheets with n8n by setting up a new workflow, enabling the google sheets api, and configuring oauth credentials in google cloud console for seamless sign-in and sheet creation.

Install node.js and nvm, then build your first automation that saves a form submission to Airtable. Export json, connect Google Sheets via Google Cloud Console, and learn by doing.

Introduce ai in workflows with a simple automation: Airtable trigger, llm extraction and email updates, plus sentiment analysis, Google Sheets storage, and secure local server and API integrations.

Automate customer bookings by linking Airtable with OpenAI's ChatGPT via n8n to generate email summaries and send them through Gmail, triggered by new orders.

Learn to build a sentiment analysis workflow with llms using the OpenAI API, output a one-word sentiment (positive, negative, neutral), and store results in Airtable or Google Sheets.

Connect open-source LLMs with Ollama to run locally on your machine, preserving data security and providing free, private models, with hardware considerations.

Learn to connect any LLM via API to n8n, compare pricing and features across OpenAI, Deep Seek, Grok, Gemini, Anthropic, and other models.

Recaps automations with llms in n8n, using airtable triggers and form submissions, prompts and api keys to run sentiment analysis and log results in google sheets, including email alerts.

Build a rack application that trains an llm on data from Google Drive, uploads to the Pinecone vector database, and enables chat with documents and automated email workflows.

Build a rag agent that automatically updates its knowledge from Google Drive by uploading PDFs, generating OpenAI embeddings, and indexing them in Pinecone for instant retrieval.

Learn a workaround for creating a Pinecone vector database using text embeddings from OpenAI, set configurations, and create an index despite interface differences.

Build a reactive RAG chatbot using a Pinecone-backed vector database, embeddings, and an AI agent node to answer questions from Tesla Q3/Q4 data.

Build an ai powered n8n workflow to manage emails by classifying sponsorships, drafting polite declines, and labeling important, using json examples and cloud for opus with openrouter.

Build an end-to-end email automation with three interlinked workflows using the Pinecone vector store, Google Docs data, and a mail sending tool.

Learn to build a very fast email agent using an AI agent node, OpenAI chat model, windows buffer memory, and a Gmail send tool to draft and send emails automatically.

Automate daily email summarization with an n8n workflow and LLMs, running at 7 a.m. to summarize past 24 hours of Gmail messages and deliver an HTML email summary.

Build an AI-powered email automation tool that filters incoming messages, identifies sponsorship deals, and auto-replies using Gmail, an AI agent, and OpenAI, with secure, structured outputs.

Learn to build AI agents and workflows with n8n and APIs, including a chatbot and a Pinecone vector database that embeds Google Drive files and enables email automation and summarization.

Learn to design system prompts for AI agents and automations by defining roles, tone, context, tools, and few-shot instructions, with emphasis on brevity and markdown formatting.

Discover flexible hosting options for n8n addons, including a two-week free trial, free self-hosting with spin-down, and paid plans on render and other providers for permanent access.

Connect ChatGPT with WhatsApp using a cloud workflow to chat, manage memory, and run tools like calculator, Wikipedia, and Gmail through AI agents.

Trigger an AI agent from Telegram using the Telegram trigger node and build a sub-workflow with memory, tools, and a search agent that taps Wikipedia, Hacker News, and Serp API.

Create a multipurpose Telegram agent that handles emails and calendar with both voice and text input, using whisper transcription, GPT four Omni, Gmail and Google Calendar integrations.

Push the boundaries by building a gigantic ai agent with sub workflows, talking back via telegram, and automating gmail, calendar, and web search tasks.

Recognize security risks of telegram in n8n where workflows can access calendars, Gmail, and contacts. Enforce access with an if node using chat id and username to keep workflows safe.

Automate social media with AI-powered agents, triggers, and workflows for posts on LinkedIn, X, and more. Crawl sources, convert to markdown, and schedule posts with Airtable integrations.

Learn two reactive strategies for building and prompting AI agents: incrementally add tools and test each one, and adapt prompts reactively to diagnose and fix issues quickly.

Host your workflows on render, AWS, Azure, Google Cloud, or your own servers, and connect WhatsApp or Telegram triggers to build scalable agents.

Learn to monitor and debug n8n workflows with trigger and error trigger nodes. Receive email alerts when failures occur and use webhooks to call workflows from anywhere.

Learn to build an n8n error workflow that emails alerts when a run fails, including time, last node, error message, and stack, and integrate it across workflows.

Develop AI agents quickly with Flowwise, connect webhooks via the custom tool, and store stock data in Google Sheets using Serp API and HTTP requests via the n8n webhook.

Explore a reusable webhook workflow template in n8n that triggers Telegram events via https post requests, showing how to assemble the bot token and endpoint URL.

Master error trigger and webhook nodes in n8n to monitor workflows, test events, and send alerts via Gmail, Slack, or Telegram, with reliable time zone handling.

Explore how the model context protocol standardizes llm to api communication, using MCP host, client, and server to enable reliable, JSON-based, USB-C style function calling across APIs and tools.

Connect an MCP server to Cloud Desktop, configure the model Context protocol, and deploy tools like Google Calendar, Gmail, Google Sheets, and a pinecone vector store for AI agents.

Learn to set up an MCP host and MCP server in n8n, connect endpoints, and orchestrate tools like vector stores and Gmail via a unified MCP client workflow.

Learn to turn chat flows into sellable applications and services, from a rack application to a standalone chatbot, and embed them in web pages or WordPress with branding and pricing.

Discover how to sell nearly every automation or agent you build, with hosted deployments on cloud platforms, integrating rack apps with triggers like Telegram or Google Sheets for customer support.

Create a rag-based bot that uses a Google Drive trigger, upserts data into a Pinecone vector store, answers questions, and captures leads in Google Sheets.

Turn your chat flow into a standalone app and publish a public URL, then tailor starter messages, authentication, and host settings for a shareable, client-ready bot.

Learn to integrate a chatbot into html and WordPress pages using embed code, test with replit, and customize branding via CSS variables and options such as window size and mode.

Identify the right customer, tailor an ai agent prototype, demonstrate it live, and set pricing with bonuses and a two-week guarantee to drive sales.

Use a chrome extension maps scraper to quickly extract fitness studios as leads, export them as CSV or Excel, and focus on essential fields like name and phone number.

Sell ai automations and ai agents by embedding rec applications into web pages to capture leads and host standalone, public chatbots.