Automate Google Classroom with Gemini AI: Topics, assignments & student tracking

Create your first AI agent

Who is this for? This workflow is designed for anyone who wants to automate AI-driven chat responses integrated with Google Docs and Google Sheets, using the Google Gemini (PaLM) language model via n8n. It’s perfect for teams looking to: - Automatically generate AI replies to chat messages, - Pull content dynamically from Google Docs, What this Workflow Does - Receives chat messages via a webhook trigger. - Sends the chat input to the Google Gemini AI Chat Model for generating replies. - Optiona

Structured data extract & data mining with Bright Data & Google Gemini

Who this is for? The Structured Data Extract & Data Mining workflow is crafted for researchers, content analysts, SEO strategists, and AI developers who need to transform semi-structured web data (like markdown content or scraped HTML) into actionable structured datasets. It is ideal for: - Content Analysts - Organizing and mining large volumes of markdown or HTML content. - SEO & Trend Researchers - Exploring topics by location and category. - AI Engineers & NLP Developers - Looking to automat

BrowserAct-Powered Movie Recognition & Search Bot

This template builds an AI-powered Movie Finder assistant connected to Telegram. It can identify movies from user text, screenshots, or other files by combining Google Gemini and BrowserAct’s “AI Film Finder Bot: Smart Scene & Concept Identification” workflow. Text route: When a user sends a message, the scenario checks whether it looks like a movie description. Valid inputs are rewritten by Gemini into a clean, structured description. The bot sends this refined text back to the user, then call

AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs

Who is this for? This workflow is designed for businesses or developers looking to integrate voice-based chat applications with dynamic responses and conversational memory. What problem does this solve? It automates AI-powered voice conversations, maintaining context between sessions and converting speech-to-text and text-to-speech. What this workflow does: The workflow receives audio input, transcribes it using OpenAI, and processes the conversation using Google Gemini Chat Model (you can use O

Generate AI-Powered LinkedIn Posts with Google Gemini and Gen-Imager

AI-Powered LinkedIn Post Automation --- 🧩 How It Works This workflow automatically generates LinkedIn posts based on a user-submitted topic, including both content creation and image generation, then publishes the post to LinkedIn. Ideal for marketers, content creators, or businesses looking to streamline their social media activity, without the need for manual post creation. High-Level Workflow: 1. Trigger: The workflow is triggered when a user submits a form

Automate Multi-Platform Social Media Content Creation with AI

Social Media Managers and Digital Marketers seeking to streamline content production across 7+ platforms (X/Twitter, Instagram, LinkedIn, Facebook, TikTok)

Generate Youtube video metadata (timestamps, tags, description, ...)

For Who? - Content Creators - Youtube Automation - Marketing Team --- How it works? 1 - Enter the ID of the YTB channel to trigger the workflow when a new video is posted 2 - Apify scrape the last YTB video of the channel 3 - Wait until the dataset is completed in Apify and get it 4 - Verify if Metadata are not already generated and generate them with LLM 5 - Format all the data created and update YTB Video 📺 YouTube Video Tutorial: [![Watch on YouTube](https:/

Track multi-currency expenses from receipts with easybits, Telegram, and Google Sheets

How It Works This workflow automates multi-currency expense tracking via Telegram. Send a receipt photo to your bot, and it automatically extracts the invoice details, converts the amount to EUR using a live exchange rate, and logs everything straight into Google Sheets. Flow overview: 1. User sends a receipt photo via Telegram 2. easybits Extractor reads the document and returns structured data 3. The data is normalised and cleaned 4. The exchange rate is fetched (with fallback if needed) 5. Th