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!

Just imagine how long all this would’ve taken to make in Bubble… ▫️ AI agent with dashboard for a marketing agency – $2,000 ▫️ AI agent with dashboard for e-commerce – $2,000 ▫️ AI call analysis for a dental clinic – $1,000 ▫️ AI call analysis for an energy company from the Netherlands – $3,000 ▫️ Form builder for an HR agency from Denmark – $5,000 ▫️ AI post generator for a US marketing agency – $6,000 ▫️ CRM for a clothing store – $4,000 And a bunch of side projects: ▫️ HR AI matching for a course ▫️ CRM for running a Skool community ▫️ AI Reels generator ▫️ AI trend-watching tool ▫️ Poppy AI clone ▫️ CRM for LinkedIn content ▫️ Landing page for my own agency ▫️ GPT-like wrapper for AI agents Do you use Lovable or any other vibe-coding tools (Bolt, v0, replit)?

I’ve been discussing a trendwatching idea with several people - tracking social media trends to create your own content. I decided to think like a founder and built a simple Instagram trendwatching tool on Lovable: 1. Take a query and search Reels - get the top Reels on the topic (some may already be old). 2. Collect all creators from those Reels and analyze their last 10 Reels - look at metrics like views/followers, likes/views, and views/average views. 3. Take the top 5 from that shortlist and analyze the videos with Gemini - this gives us a transcript and a visual description of what’s happening. 4. Based on the analysis, generate scripts to create similar videos. The result is a one-week content plan built from proven viral ideas. Repeat weekly. In the video, I show how it works. It still needs a bit of polishing before I can share access openly, so I’m first checking demand. Would you be interested in trying this tool?

Hi guys! I’m testing a new format where I show exactly what’s possible for business with no-code tools and AI. Today: a case from my current project - massive analysis and creation of video content. Types of businesses with this task: - Marketing agencies – produce lots of content for many clients - E-commerce – stores that create content to promote products - Creators – large players with systematic content across multiple platforms Core process: Find a viral reference ⬇️ Analyze it ⬇️ Copy the structure ⬇️ Create the video ⬇️ Analyze the results ⬇️ Repeat if it worked Tasks that can be automated (with guides): - Finding viral references – manually curated database + scraping via Apify - Analyzing structure of viral videos – video analysis with Gemini - Creating the video – audio/voice generation with 11Labs, image generation with OpenAI/Midjourney/Flux, video generation with Veo3/Runway/Kling - Analyzing metrics of your own content – scraping via Apify - Comparing your video vs. the reference – video analysis with Gemini Project characteristics: - Budget: $5,000–12,000 depending on scope - Ongoing costs: depends on volume of videos - - Scraping: $5–10 per 1,000 videos - - Video creation: $2–10 per video - - Video analysis: $5 per 100 videos - Timeline: 1 week per every 2 steps + 1 week for project setup How do you like this format? Which business task should I break down next?