I was about to try Perplexity's new AI email agent. Then I saw the $200/month Pro plan requirement and stopped. 💸 Wait a second. I built something like this months ago. Why would I pay ANY platform when I can build it myself - and build it BETTER? So if you're like me and refuse to pay for overpriced SaaS, I'm sharing my Autonomous Email Assistant workflow completely free. Let me introduce you to Selena, my Professional Email Organizer. 👩‍💻 What This Does: 🤖 ✅ Smart 7-category classification (Spam, Internal, Meetings, Newsletter, Urgent, etc.) ✅ AI-generated responses in YOUR brand voice - personalized to every sender ✅ Automatic calendar integration - checks availability, suggests times, creates events ✅ Slack notifications for urgent emails with human-in-the-loop approval ✅ Complete inbox organization - auto-filing, AI tagging, audit logging ✅ Handles meeting scheduling end-to-end with 15-minute buffers and working hours respect The Real Power? This isn't just another "flag important emails" tool. This is a complete email operations system that drafts context-aware replies, manages your calendar, routes messages intelligently, and maintains your communication style across every interaction. The entire workflow runs on n8n with GPT-5-mini through OpenRouter - you control your data, you control your costs, you own the automation. n8n template attached for download! https://n8n.io/workflows/9128-autonomous-email-management-with-gpt-5-mini-and-human-in-the-loop-for-outlook/ D

Hi Everyone, These past two weeks, I've been super busy figuring out a few things and testing the Chimera enhancements. I’ve also been working on starting to materialize a project I’ve been going back and forth on for months. Virtual Agents. I’ll explain more in the future, but basically, I’m trying to create a personalized set of agents—each of them working either individually or as part of a team—aimed at achieving specific business process automations. The idea is to build a catalog of virtual agents that you can almost template-ize and offer to businesses directly from a catalog. This will require quite a lot of work, but I believe the potential, once it’s done, is pretty high. My plan is to not only offer these myself, but also make them available to other AI practitioners like you—so you can re-sell these agents without having to build them yourself. They would have proven reliability and be tested in real business cases. Would this be something you’d be interested in? For example, being able to offer robust AI solutions and automations without having to build them from scratch?

Would love general thoughts on when and why people choose n8n vs Cassidy. Thoughts?

How did I start with AI? What was my wake-up point (with no return)? Let me tell you my story and how I got where I am. The first time I started with GPT was around summer 2021. At first, I thought it was super cool, but really nothing more than Google search on steroids. I used it here and there for simple stuff, like "write me a song about XYZ" or "tell me where XYZ comes from" or "what can you tell me about XYZ", nothing life-changing, but you could already see some potential. Slowly, I started to push what you could do into more useful territory. I began using it within my work to help me write security scripts for vulnerability management and help me understand more technical concepts. It was brilliant at it, and back then it was already giving me an edge over all my colleagues who weren't using it. Gradually, I started using it more and more for my day-to-day activities – helping me write emails, develop security policies, define implementation roadmaps, etc. At this point, it was becoming a key tool for my daily work. I felt this tool was giving me superpowers. I could do the work of 5 different IT and Cybersecurity experts, all on my own. But still, this was not my breaking point. This was October 2023, and the moment of truth was around the corner. November 2023. This was it. OpenAI released something that changed me forever: GPTs. Until then, ChatGPT was an isolated tool for me, super useful, but I couldn't take it out of there to use it for my own specific needs. Not until then. With GPTs, OpenAI gave everyone the opportunity to take this amazing technology and transform it into something fit for their specific needs. From that day, you could create a team of specialist agents capable of being trained on any subject you wanted, with specific instructions to deliver specific outcomes. But why was this a game changer for me? Because this was the first time I realized the impact this technology was about to have on EVERY SINGLE BUSINESS out there. Now I could build teams of specialists, feed specific knowledge documents, specific to a company or even specific to a team within a company, and train them to deliver outcomes that would've taken hours or even days for a human to prepare.

For the last few months I have been compiling every single bit of information I could find about the "New" SEO for LLM Search Engines like ChatGPT or Perplexity (also called GEO, LEO, LLMO, LLM SEO or AIO) to understand how they work, how to make the most out of them and how to position websites so that they can be found at all. It's being not an easy task as the available information is still very scarce, but I think I already have enough to put it all together in a practical guide. Traditional SEO is not dead (yet), but it will be by 2027 and ignoring this now, could cause that no-one finds your site via organic searches or LLM searches any more very soon. This means that your web traffic will uniquely come from people who is accessing your site directly, or through links. And the numbers don't lie: 📊 80% of consumers now rely on AI-generated content for 40% of their searches. 📉 25% reduction in organic web traffic due to zero-click searches. And it's going down quickly. ⚡ 1,200% growth in generative AI traffic in just 8 months. 🎯 90% of ChatGPT citations come from pages ranking 21+ (NOT your precious top 5 rankings!). Here's the brutal truth: While some are still optimizing for Google's Page 1, ChatGPT is mining pages 3, 5, and 10 for answers that millions trust daily. The shift is massive: → ChatGPT processes 1+ billion messages daily → Google's market share dropped below 90% for the first time since 2015 → Semrush predicts LLM traffic will COMPLETELY overtake traditional search by 2027 Traditional SEO is NOT prepared for this. The mechanics between generative AI and classic search are fundamentally different. But here's the opportunity: Early adopters are seeing 35% increases in featured snippets and 27% more brand citations by implementing LLM optimization strategies.