Community shared quote comparison template last month. Great workflow. Missing automatic extraction. Added one enhancement. Landed 2 new clients. THE OPPORTUNITY: Template handles email monitoring, spreadsheet logging, notifications. But quote extraction? Manual. Someone types numbers. Clients see half-automated solution. Not impressed enough to pay. Added document extraction node. Now FULLY automated. Clients impressed. Clients pay. THE ENHANCEMENT: One extraction node between email and spreadsheet. Reads quote PDF automatically. Pulls vendor name, items, pricing, terms. Structured data flows to sheet. Complete automation achieved. THE CLIENT REACTION: Before: "Interesting but still need someone to input data." After: "Wait, it reads the PDF automatically? Yes, I want this." Enhancement changed okay template into compelling paid offer. WHY THIS MATTERS FOR REVENUE: Partial automation = hard to sell. "Still doing work, why pay?" Full automation = easy to sell. "Saves me hours, worth paying." One enhancement node turned free template into paid service. THE RESULTS: Client 1 (service company): 8 monthly quotes. Pays monthly retainer. Happy. Client 2 (retailer): 12 monthly quotes. Monthly recurring revenue. Referred friend already. Same template. Two paying clients. More conversations happening. THE SHARING BACK: Posted enhanced template to community. Three members deployed it. All processing quotes automatically. Template improved for everyone. Built reputation as helpful contributor. Led to consulting inquiries. TRIED WITH OTHER TYPES: Service quotes: Works perfectly. Selling to service businesses. Equipment quotes: Extracts specifications. Manufacturing clients love it. Software quotes: Gets license details, pricing tiers. SaaS clients buying. Same workflow. Different document types. Multiple revenue streams. What community templates could you enhance to create sellable services?

This one hurt to realize. Spent last few months building impressive stuff: - Multi-step agent workflows - Complex API integrations - Beautiful dashboards nobody asked for Got reactions like "wow, that's cool" but bank account stayed at $0. Then I built something embarrassingly simple for a local gym owner. 𝐓𝐡𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 New member signs up -> Send welcome email -> Add to WhatsApp group -> Schedule first check-in -> Done. 4 nodes Took 90 minutes He paid me $600 Not because it was complex. Because it solved the ONE thing keeping him up at night: new members ghosting after week 1. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞 𝟑 𝐩𝐚𝐢𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐡𝐚𝐝 𝐢𝐧 𝐜𝐨𝐦𝐦𝐨𝐧 1. Solved a problem the client felt that morning 2. Took less than 5 days to build 3. Client could explain the value to someone else in one sentence 𝐓𝐡𝐞 𝟒𝟒 𝐮𝐧𝐩𝐚𝐢𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬? Cool demos. No urgency. No clear pain point. 𝐓𝐡𝐞 𝐥𝐞𝐬𝐬𝐨𝐧 𝐧𝐨𝐛𝐨𝐝𝐲 𝐭𝐞𝐥𝐥𝐬 𝐲𝐨𝐮 Stop building to impress other builders. Start building to relieve one person's specific daily headache. The simpler, the better. 𝐇𝐨𝐧𝐞𝐬𝐭 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 How many workflows have you built that nobody paid for? No judgment. I'm at 44. Just trying to figure out if this is normal or if I'm the only one who learned the hard way. Drop your number below 👇

🤖 Google Workspace Studio vs. n8n: Is This the Beginning of the End, or a Wake-Up Call? After diving deep into Google's newly released Workspace Studio (studio.workspace.google.com), I wanted to share my honest assessment as someone deeply embedded in the n8n automation community. Spoiler: It's complicated. What Google Just Built Google Workspace Studio represents a significant shift in automation philosophy. Powered by Gemini 3, it enables users to create "AI agents" using plain language: "Every Friday, ping me to update my tracker""Monitor my inbox for unhappy customers, draft a reply based on our refund policy, and log the issue in Sheets." No nodes. No triggers configured. No webhook setup. Just describe the outcome you want, and the AI figures out the "how." This is agentic automation — a fundamentally different paradigm from the deterministic, trigger-action workflows we build in n8n. Where Google Workspace Studio Shines Let's be honest about what Google got right: 🔹 Zero friction entry point — Already included in Business and Enterprise Workspace plans (no additional cost) 🔹 Native context awareness — It lives inside your Gmail, Docs, and Sheets, eliminating API authentication headaches 🔹 AI-first reasoning — Handles sentiment analysis, intelligent prioritization, and smart approvals without complex logic trees 🔹 Deep ecosystem integration — Salesforce, Asana, Jira, and Mailchimp connectors already available 🔹 Democratization — A marketing manager can now build automations in 5 minutes without touching a single node For organizations already living in Google Workspace, this is genuinely disruptive. The economic argument is compelling: why pay for external automation tooling when your existing subscription handles 80% of use cases? Where n8n Remains Irreplaceable Here's where I push back and I'm biased, I'll admit it. But my bias comes from real-world production experience: 🔸 Self-hosting & data sovereignty — In regulated industries (food safety compliance, anyone?), keeping data on your own infrastructure isn't optional. Google can't match this.

OCR model that handles complex tables, forms, handwriting with full layout. Chandra is a highly accurate OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information. - There is a free playground if you want to try it out without installing. GitHub 100% open-source ❤️

GPT Image 1.5 is here and it's 4x faster with some serious upgrades. This is their direct response to Google's Nano Banana Pro, and things are heating up in the AI wars. I've broken down everything you need to know about: - What's new - Pricing details - Why this matters for creators - How to access it Full breakdown on my LinkedIn post 👇 https://www.linkedin.com/posts/karthikeyan-rajendran07_openai-chatgpt-aiimagegeneration-activity-7406830391833219072-bIY- Drop a like and repost if you find it useful!