Luan Correia
Automation Manager
Templates by Luan Correia
Generate platform-optimized social media content across 6 platforms with GPT-4o
Who’s it for This workflow is ideal for marketers, content creators, agencies, and small businesses that want to streamline the process of creating and publishing platform-optimized posts across multiple social media channels. How it works / What it does From a single user prompt, the workflow uses a custom system prompt and schema to generate tailored social media content for LinkedIn, Instagram, Facebook, Twitter (X), Threads, and YouTube Shorts. It creates platform-specific captions, hashtags, calls to action, and even AI-generated image suggestions, then routes the content to the correct publishing channel. How to set up Connect your social media platform credentials in n8n. Add your Google Docs links for the system prompt and content schema. Configure the IMGBBAPIKEY and any other required API credentials. Optionally connect Gmail and Telegram for approval workflows and notifications. Requirements n8n instance (self-hosted or cloud) API credentials for desired platforms Google Docs and Google Drive accounts How to customize the workflow Edit the system prompt and schema in Google Docs to adjust tone, style, and content format for each platform. Modify routing logic or add new platform integrations as needed.
By Luan CorreiaWeb scraping & screenshot automation with GPT 4.1 mini and Firecrawl
🔍 Overview This template uses Firecrawl’s /search API to perform AI-powered web scraping and screenshots — no code required. Just type natural language prompts, and an AI Agent will convert them into precise Firecrawl queries. ⚙️ Setup Get your Firecrawl API Key from https://firecrawl.dev Add it to n8n using HTTP Header Auth: Key: Authorization Value: Bearer YOURAPIKEY 🚀 What It Does Turns natural language into smart search queries Scrapes web data and captures full-page screenshots Returns titles, links, content, and images 💡 Example Input: > Find AI automation pages on YouTube (exclude Shorts) Result: json { "query": "intitle:AI automation site:youtube.com -shorts", "limit": 5 }
By Luan CorreiaAnswer questions from documents with RAG using Supabase, OpenAI & Cohere reranker
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This comprehensive RAG workflow enables your AI agents to answer user questions with contextual knowledge pulled from your own documents — using metadata-rich embeddings stored in Supabase. 🔧 Key Features: RAG Agents powered by GPT-4.5 or GPT-3.5 via OpenRouter or OpenAI. Supabase Vector Store to store and retrieve document embeddings. Cohere Reranker to improve response relevance and quality. Metadata Agent to enrich vectorized data before ingestion. PDF Extraction Flow to automatically parse and upload documents with metadata. ✅ Setup Steps: Connect your Supabase Vector Store. Use OpenAI Embeddings (e.g. text-embedding-3-small). Add API keys for OpenAI and/or OpenRouter. Connect a reranker like Cohere. Process documents with metadata before embedding. Start chatting — your AI agent now returns context-rich answers from your own knowledge base! Perfect for building AI assistants that can reason, search and answer based on internal company data, academic papers, support docs, or personal notes.
By Luan Correia