I struggled with figuring out how to integrate Replicate's AI models into n8n for image and video generation, so I made this simple guide to help you get started. If you want to generate creative AI images or videos through automation without hassle, this post is for you. What you'll learn: • Set up Replicate API credentials correctly in n8n • Create image generation workflows using Imagen and SeeDream models • Handle asynchronous tasks with waiting and status checking nodes • Generate AI videos using Replicate's Kling model, including start image usage • Combine workflows into one AI agent that can generate and edit images on demand\ If you want help adapting these workflows to your specific projects or have questions, let me know in the comments!

I noticed many struggle with migrating from OpenAI's Assistance API, especially with managing sessions and tool usage efficiently. This guide breaks down how to use the new Responses API in n8n to build faster, more robust automations. What's inside: • Understand differences between Assistance API and Responses API and why migration is important • Set up basic Responses API calls including instructions, input, and temperature parameters • Implement session and response ID storage to maintain chat history in databases like Supabase or Google Sheets • Use tools like web search and image generation within your workflows • Handle function calls and multiple outputs for complex data retrieval or processing • Aggregate and parse data properly for stable and concise responses If you have questions on integrating specific tools or want help with example workflows using Responses API, drop your ideas in the comments!

Link to guide and templates 🔍 Real Business Case: A company wanted to generate more content featuring their products to drive higher sales—without spending huge budgets on ads. Their strategy? Reverse-engineering viral Reels. Here’s how it works: 1️⃣ They analyze top-performing Reels from major creators in their niche. 2️⃣ They recreate these viral formats by hiring smaller creators to produce similar content. 3️⃣ One of these Reels eventually goes viral, generating massive sales at low cost—essentially seed investing in content instead of paid ads. With this system, you could track 100K+ creators and replicate proven viral formats to fuel content growth for your business. ⚡️ The Solution: Using n8n + Airtable + AI, we built an automated workflow that: - Scrapes viral Reels in your niche. - Analyzes key details like structure, timing, captions, and engagement triggers. - Generates step-by-step guidelines for recreating high-performing content. 💡 Why It Works: ✅ Automates content discovery – No more endless scrolling, AI surfaces trends instantly. ✅ Saves time & effort – Focus on creation, not research. ✅ Data-driven content strategy – Use proven viral formats instead of guessing. 🗣️ Are you using automation in your content creation? What’s been your most effective strategy so far? Let’s discuss in the comments! 🚀

We’ve just released an updated guide that takes our RAG agent to the next level — and it’s now more flexible, more powerful, and easier to use for real-world businesses. What’s new: - Google Drive support: Upload any document (Docs, Sheets, Slides, etc.) and use it as the source for your AI agent - Improved parsing with LlamaParse: Handle large, complex files — including PDFs with tables, images, and structured data - Real-time chat integration: Ask questions and get answers from your documents using our GPT-style frontend (free and available to try) Why we built this: Most teams already store important data in Google Docs or internal PDFs. Instead of copying that content into another tool, you can now turn your existing files into a searchable AI knowledge base — perfect for: - Customer support - Internal FAQs and SOPs - Product onboarding and documentation access All files are indexed into Supabase using vector embeddings. Your agent can then answer questions based on that content — instantly, in natural language. Guide with N8N workflow and SQL queries for Supabase is already available in classroom. Let us know what you’d build with it 👇

I couldn’t find a single clear video on integrating Binance with n8n, so I made one. If you’ve tried to pull funding fees or token prices from Binance, you know the API authentication is a pain (signature, timestamp, crypto node, all that). What’s inside: - Set up Airtable with tokens and funding statements, linked together - Get your Binance API keys and deal with signature/auth headaches - Use the crypto node for signing Binance requests - Pull funding fees, positions, and live prices - Auto-create tokens in Airtable if they’re missing If you run into something weird with Binance or have a use case you want covered, drop it in the comments. Link to template in classroom