It's officially live on the n8n template hub! 🎉 For those who missed my earlier post — this workflow reads any PDF contract and flags every risky clause. Upload PDF → risk report in 5 minutes. No legal background needed. Grab it free 👇 https://n8n.io/workflows/15307

I'm now a n8n Verified Creator. Been learning AI automation- building real workflows, experimenting, failing, and figuring things out step by step. Every build teaches something new. More builds coming soon 🚀 Check out my profile here: https://n8n.io/creators/divyanshugupta/

Most people open Claude Cowork and just... type. They're missing 80% of what it can do. Here are 5 ways I use it to actually get work done — not just generate text: → Auto-organize files without touching a folder → Send emails without opening my inbox → Summarize any doc in seconds → Schedule tasks that run on their own → Turn raw data into a shareable report Swipe through 👉 Which one are you trying first? Drop it below 👇

Most people use n8n to automate workflows. I used it as the backend of a live SaaS product. 💡 What I built Legal Contract Risk Analyser Upload a legal document → AI analyzes every clause → you get a full risk report in under 5 minutes. This is not a workflow sitting inside the n8n canvas. 👉 It’s a real web app anyone can open and use. ⚠️ Why I built this Most of us sign contracts we don’t fully understand. - 20 pages of legal text - 2–3 hours of reading - Still unsure what’s risky And the worst part? The riskiest clauses don’t look risky. Example: “The Client accepts full responsibility for all third-party claims” Looks harmless. It’s not. And keyword search? Completely useless here. 🧠 How it works This is where things get interesting. Instead of keeping everything inside n8n, I split it into: Frontend + Backend + AI pipeline 🔧 Under the hood: → n8n → runs the entire backend pipeline → Google Gemini → analyzes each clause, scores risk, rewrites it simply → Hybrid RAG (pgvector + BM25) → finds risky patterns using semantic + keyword search → Supabase → stores knowledge base + analysis results → HTML / CSS / JS → frontend UI → Netlify → makes it publicly accessible 🎯 What you get Every clause gets: ✅ Risk level (High / Medium / Low) ✅ What it actually means (no legal jargon) ✅ A safer alternative No more guessing. No more signing blind. 🧩 Who this is for - Freelancers reviewing contracts - Startups signing vendor agreements - Business owners who can’t afford hidden risks 🔥 The real lesson n8n is not just an automation tool. It can be your backend for real AI products. Same tool. Different thinking. Try it with any contract — link in comments 👇 If you’re interested in seeing the Product Requirement Document (PRD) and how I built this end-to-end,drop your email in the comments — I’ll share it.

Been building quietly for the past few weeks and finally ready to share. I submitted SnapCaption AI to the Flowroom AI App Creation Contest — and honestly, I learned way more than I expected during this build. 🚀 What it does You upload a photo → AI actually looks at it → and in ~10 seconds you get: - 3 platform-optimized captions - A 3-slide Instagram story - 30 ready-to-use hashtags Plus 5 tone styles: Funny, Heartfelt, Poetic, Gen-Z, Professional Works for IG, LinkedIn, Twitter. 🧠 The interesting part — Vision AI This isn’t a generic caption generator. The AI analyzes the actual image — scene, lighting, mood — not just keywords. But getting this right was tricky… - It would hallucinate random stuff (“midnight vibes” on a bright beach pic 😅) - Sometimes added irrelevant context like timestamps - Had to build a validation + retry layer to clean outputs 🛠️ Stack - Flowroom (app infra) - GPT-4o Vision (image + captions) - Vanilla JS - CSS animations Tried to make it feel like a real product, not just a demo. 💡 3 key learnings 1. Vision AI = prompt engineering gameIf your prompt isn’t tight, the output drifts fast. 2. UX matters more than AILoading states, copy buttons, history — spent more time here than on the model. 3. Shipping > perfectHad bugs till the last minute. Real-world fixes hit different vs sandbox builds. 🔗 Try it If you post content regularly, would love your feedback (especially on caption quality across different images) Link: https://flowroom.com/room/3SeEI4 Happy to answer anything about the build 👇