Create a multi-modal Telegram support bot with GPT-4 and Supabase RAG

Generate AI newsletter drafts from Google Sheets to Notion with GPT-5-mini

How it works: This template turns rows in a Google Sheet into polished newsletter drafts in Notion using an AI writing agent. You click Execute workflow in n8n. It fetches all rows marked N8n Status = Pending, generates a draft from Newsletter Title and About the Newsletter, creates a Notion page, writes the full draft, then flips the sheet row to Done before moving to the next one. Before you start (use your own credentials): Create and select your credentials in n8n: Google Sheets (OAuth2 or

Analyze & summarize Amazon product reviews with Decodo, OpenAI and Google Sheets

Disclaimer Please note - This workflow is only available on n8n self-hosted as it’s making use of the community node for the Decodo Web Scraping This n8n workflow automates the process of scraping, analyzing, and summarizing Amazon product reviews using Decodo’s Amazon Scraper, OpenAI GPT-4.1-mini, and Google Sheets for seamless reporting. It turns messy, unstructured customer feedback into actionable product insights — all without manual review reading. Who this is for This workflow is designed

Scrape and ingest web content into Supabase pgvector with Firecrawl

What this does Receives a URL via webhook, uses Firecrawl to scrape the page into clean markdown, and stores it as vector embeddings in Supabase pgvector. A visual, self-hosted ingestion pipeline for RAG knowledge bases. Adding a new source is as simple as sending a URL. The second part of the workflow exposes a chat interface where an AI Agent queries the stored knowledge base to answer questions, with Cohere reranking for better retrieval quality. How it works Part 1: Ingestion Pipeline 1. Web

Upload media from Instagram to Google Drive automatically

Automatically upload Instagram media to Google Drive. When new media is posted on Instagram, Make saves it to your Google Drive.

Parse natural language dates with OpenAI GPT-4o for smart scheduling

This n8n workflow demonstrates how to transform natural language date and time expressions into structured data with 96%+ accuracy. Parse complex expressions like "early next July", "2 weeks after project launch", or "end of Q3" into precise datetime objects with confidence scoring, timezone intelligence, and business rules validation for any automation workflow. Good to know Achieves 96%+ accuracy on complex natural language date expressions At time of writing, this is the most advanced open-

Optimize Amazon ads with GPT-4o for bid, budget & keyword recommendations

Overview This template is designed for Amazon sellers and advertisers who want to automate their campaign performance analysis and bidding strategy. It solves the common challenge of manually reviewing Sponsored Products reports and guessing how to adjust keywords, placements, and budgets. By combining Amazon Advertising reports with OpenAI's GPT-4o, this workflow delivers real-time, personalized optimization instructions — automatically. Features 📥 Automatically downloads Sponsored Products rep

Generate multiple T-shirt design prompts from images with GPT-4o

Disclaimer This Workflow uses a community node. What It Does Workflow Demonstration This powerful workflow eliminates hours of trial and error when trying to craft the perfect prompt for AI-generated images. By simply saving an image of the design you want to model your generated images after into a designated folder on your desktop, the workflow is automatically triggered. Once the image is saved, n8n pulls it into the workflow, where an Analyze Image AI agent powered by GPT-4o analyzes it and

Discover and enrich competitor clients with PredictLeads and Google Sheets

Discover your competitor's clients through PredictLeads connections data, enrich each client with company details, and export everything to Google Sheets. This workflow takes a list of competitor domains from Google Sheets, queries the PredictLeads Connections API to discover their client relationships, enriches each discovered client with company profile data (industry, employee count, location), and writes the results to a structured output sheet for competitive intelligence. How it works: 1.