Generate & optimize brand stories with Ollama LLMs and Google Sheets

Create MeisterTask tasks from new Google Sheets rows

Every time a new row is added to a specific Google Sheets spreadsheet, Make will automatically add a new task to your MeisterTask project. The template uses this [example spreadsheet](https://goo.gl/1UcJvS).

Automate real estate listing scraper with Scrapeless and Google Sheets

Brief Overview This automation template helps you track the latest real estate listings from the LoopNet platform. By using Scrapeless to scrape property listings, n8n to orchestrate the workflow, and Google Sheets to store the results, you can build a real estate data pipeline that runs automatically on a weekly schedule. --- How It Works Trigger on a Schedule: The workflow runs automatically every week (can be adjusted to every 6 hours, daily, etc.). Scrape Property Listings: Scrapeless craw

Add Google Sheets rows to a Microsoft SQL Server database table (in bulk)

Use this template to automatically insert rows into a Microsoft SQL Server database table from a Google Sheets spreadsheet. Best for use cases when you need to insert rows in bulk.

Add Google Sheets rows for Layerise languages

Make will import your Layerise languages into your Google Sheets as rows. Here's the [sheet](https://docs.google.com/spreadsheets/d/1QZ6yMZ_KOJ-tSQjEOyeeyrvXInIoYoAAtc_55BHFDts/edit?usp=sharing) used in this scenario.

Generate 3D models from images using Hunyuan3D v2 and Google Sheets

This workflow automates the conversion of 2D images into high-quality 3D models (.glb format) by integrating Google Sheets with the Hunyuan3D v2 model on Fal.ai. It handles the entire pipeline—from fetching image URLs to polling for completion and saving the final asset—eliminating manual modeling time for artists and developers. How it works This template operates on a schedule to process images in batches or indiv

Export Fireflies.ai transcripts to Google Sheets

This template exports automatically every Fireflies.ai transcript to the Google Sheets spreadsheet of your choice.

Generate product-aware B2B leads and outreach emails with Gemini, Pinecone and Gmail

How can you find your target market if you don't know what your product is. This simple philosophy changes the way we think about automated sales agents. Context changes everything. In this 4-part workflow, we start by creating a knowledge base that will act as context across the workflow. This context will guide and provide our AI Agents across the workflow to locate better leads and perform market research based on what the product actually offers. Use Case: Lead generation for Product-based S

AI Chatbot Agent with a Panel of Experts using InfraNodus GraphRAG Knowledge

Using the knowledge graphs instead of RAG vector stores This workflow creates an AI chatbot agent that has access to several knowledge bases at the same time (used as "experts"). These knowledge bases are provided using the InfraNodus GraphRAG using the knowledge graphs and providing high-quality responses without the need to set up complex RAG vector store workflows. The advantages of using GraphRAG instead of the standard vector stores for knowledge are: - Easy and quick to set up (no