Hi everyone, I wanted to share a quick deep dive into a workflow that has been a total game-changer for me (and my early testers). The Problem: We’ve all been there—the sales call ends, and now the paperwork begins. Manually typing out data, calculating prices, formatting PDFs… This used to take me at least 30 minutes per lead. My Solution (n8n + OpenAI): I built a workflow that handles the entire heavy lifting: 1. Trigger: New lead marked in Notion/HubSpot. 2. AI Analysis: OpenAI scans the call notes and extracts specific pain points. 3. Doc Gen: Google Docs (or PandaDoc) automatically generates the finished proposal with personalized copy. 4. Final Check: I get a Slack notification with the direct link to the PDF. The Result: I just do a quick final review and hit "send." Total time spent: Under 10 seconds. It’s fascinating how much "admin grind" we can eliminate these days. Are you guys already using n8n for your sales processes, or are you still sticking with Zapier & Co.? Excited to hear about your setups!

Harvard's Gen. AI course is accessible for free. No sign up needed: https://generative-ai-course.hks.harvard.edu/1-how-genai-works/class-1 Includes exercises and homework as well.

Hey — I run a business generating viral AI car photos for Instagram pages. Right now I manually handle everything, but I want a fully automated, no-human-in-the-loop production system. End goal: Clients submit two images (car + viral reference) → system auto-queues → AI generates outputs → post-processing → delivery → logging + status updates. I want this engineered to safely handle 100+ concurrent jobs without crashing or mixing client files. Key requirements:• queue system / job orchestration• scalable AI engine (API-driven)• Google Drive or storage triggers• automatic post-processing• client-specific delivery folders• error handling + retries• logging dashboard If you’ve built production automation pipelines or AI generation factories before, I’d love to talk.

Most of you have probably heard of ClawdBot/OpenClaw by now. I've been playing with it and it's definitely worth the hype, especially for something that's still in Beta. Just be careful what you have it do since it's still early days with known security holes. For beginners that don't know Terminal, ChatGPT is really good at walking you through the set up process. Just share screen shots of your terminal screen with ChatGPT and it'll walk you through the set up process, including connecting to your preferred messaging app like Telegram. The whole set up process will take about 45 minutes. I'll share use cases as I work through them myself.

When building chatbots with n8n, one question kept coming up from clients: “Can I see the conversations?” “Can I jump in when the bot messes up?” The bot itself wasn’t the problem. The real challenge was giving clients a clean, simple way to be involved without digging through executions, logs, or raw webhook data. So over the last few months, I’ve been building Trilox. Trilox is a shared inbox for n8n chatbot conversations with human takeover: * Bots handle chats by default * Humans can jump in instantly when needed * Conversations can be handed back to the bot * WhatsApp, Telegram, Messenger, web widget — all in one inbox I’m also building a dedicated n8n community node that plugs directly into workflows: * Record bot + visitor messages * Check who’s handling the conversation * Escalate to a human when needed * Receive human replies via webhook We’re currently pre-launch and sharing progress publicly. If this is something you’d use, you can join the waitlist to be the first to know when it opens: 👉 https://trilox.io Would love to hear how others are handling human-in-the-loop chatbots in n8n 👀