Automate LinkedIn job alerts with J-Search API and SMTP email notifications

Generate ChatGPT Completions from Google Sheets Rows

This is a predefined template that will make the creation of your scenario much easier.

Send pre-meeting attendee context with OpenAI, Google Calendar, and Slack

Overiew This workflow builds an AI meeting assistant who sends information-dense pre-meeting notifications for a user's upcoming meetings. How It Works A scheduled trigger fires hourly and checks for upcoming meetings within the hour. When found, a search for last correspondence + recent activity is performed for each attendee. Using available correspondance, an AI/LLM is used to summarize this information and generate a short notification message which should help the user prepare for the m

Create Customerly leads from new Google Sheets rows

Every time a new person is added to your Google Sheets spreadsheet, Make will automatically add that person to Customerly as a deal. The template uses this [example spreadsheet](https://docs.google.com/spreadsheets/d/1HBBmkHFzcUL1DmZ1hrv2ewZS_IqyIMmkxZnO9mNsVMk/edit?usp=sharing).

Create LionDesk contacts from Google Sheets rows

Every time a new row is added to a Google Sheet, Make will automatically validate the email address from the Google Sheet. If the status of the email is "valid", it will look that person up using Clearbit and create a contact in LionDesk. It will also update the Google Sheet with the data from Clearbit. This examples uses the sheet in [this link](https://docs.google.com/spreadsheets/d/1I_0ORbuaKUyehO5qj7l3iWRNYELfAuG5lQzLfyuSw9A/edit#gid=0).

Auto-Summarize Breaking Financial News with AI and Save to Sheets

This automation uses finlight, OpenAI, and Google Sheets to build your own AI-powered market intelligence tracker. When breaking financial news is received via finlight’s webhook, the article content is passed to OpenAI GPT for summarization. The resulting summary—along with the headline, timestamp, and URL—is automatically saved to Google Sheets for reporting, research, or decision-making.

AI email classifier & auto-delete for Gmail (SPAM/OFFER cleaner)

This workflow is designed for freelancers, solopreneurs, and business owners who receive a high volume of irrelevant messages in their Gmail inbox — from cold offers to spammy promotions — and want to automatically filter and delete them using AI. Its main purpose is to scan new emails with the help of OpenAI, classify their content, and automatically delete those considered marketing (OFFER) or junk (SPAM). The result is a cleaner inbox without the need to manually sift through low-value messag

Automate sales cold calling pipeline with Apify, GPT-4o, and WhatsApp

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Cold Calling Automation - End-to-End Automated Cold Calling with Apify, RAG, and WhatsApp The "Cold Calling Automation" workflow is designed to fully automate the end-to-end cold calling process by intelligently combining web scraping, AI-powered research, and WhatsApp messaging. Leveraging key technologies such as Apify for data scraping, RAG (Retrieval-Augmented Generation) for intelligent con

Send sales forecast charts and answer Q&A on WhatsApp with OpenAI

How It Works Top Branch Workflow 1. The Data Scientist: - Ingest: Pulls historical sales data from Google Sheets. - Math Engine: Runs 7 statistical algorithms (e.g., Seasonal Naive, Linear Trend, Regression). It backtests them against your history and scientifically selects the winner with the lowest error rate. 2. The Data Analyst: - Interpret: The AI Agent takes the mathematical output and translates it into business insights, assigning confidence sc