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New AI destroys N8N and it is completely free. Today I'm going to show you an AI automation platform that just dropped and it's about to change everything. I'm talking about Sim AI, a brand new workflow builder that uses actual AI agents to create your automations for you. This thing is so smart. It literally builds workflows by talking to you like a human. I tested the Copilot feature and the results are going to blow your mind. Plus, I'll show you exactly how I built three different money-making workflows using just plain English commands. So, here's what happened. I was scrolling through my feeds yesterday and I see this new platform called SIM AI that just launched. The tagline says AI that builds workflows for you. And I'm thinking, yeah, right, another overhyped automation tool. But then I actually tested it and my jaw literally hit the floor. This isn't just another Zapia clone or N8N competitor. Yes, it has the traditional drag and drop interface like other platforms. But here's what makes it special. The AI Copilot feature that lets you build complex workflows just by talking to it in plain English. Instead of spending hours learning where every button is and how to connect APIs, you literally just tell the AI what you want and it builds the entire workflow for you. I'm talking complete automations with API calls, data transformations, conditional logic, everything. Let me show you exactly what I tested. I opened up Simai and used the copilot feature to say, "Build a workflow that scans Gmail for client requests, sends the content into a Slack channel, and automatically creates a task in ClickUp. " That's it. No technical setup, no API documentation, just plain English. And here's the crazy part. The AI copilot actually understood what I wanted and started building the workflow in real time. It pulled in Gmail integration, set up the Slack posting, connected ClickUp, and even added smart filtering so it only triggers on emails with client request in the subject line. The whole thing took maybe 3 minutes to build. 3 minutes. And when I looked at the output, it was perfect. The workflow automatically reads my Gmail, finds emails with the right subject line, extracts all the important details like sender, message, content, and urgency level, then formats everything nicely before posting to Slack. But here's what really impressed me about the output. The Slack message it creates isn't just a dump of the email content. The AI structured it with clear sections. Client name at the top, request summary, full message content, and even suggested priority level based on keywords in the email. Then it automatically creates the ClickUp task with the client name as the task title. Includes all the email details in the description, assigns it to the right team member based on the request type, and sets the due date intelligently. If it's marked urgent, it gets a shorter deadline. If it's a standard request, it gets normal timing. The level of detail in these outputs is incredible. Most automation platforms just move data from point A to point B. This AI actually thinks about how to structure and present that data in the most useful way. I decided to test something more complex. Next, I told the co-pilot to create a YouTube content workflow that takes a video link, extracts a transcript, summarizes it into a blog post, and then generates three LinkedIn posts with hashtags. Instead of just building basic connections, the AI created something sophisticated. When you input a YouTube URL, it doesn't just grab a raw transcript. The output includes a clean formatted transcript with timestamps, speaker identification if there are multiple people, and automatic removal of filler words and stutters. Then for the blog post generation, the output isn't just a summary. The AI creates a full blog post with an attention-grabbing headline, introduction paragraph that hooks the reader, main content sections with subheadings, key takeaways and bullet points, and even a call to action at the end. But wait, it gets even better with the LinkedIn posts. Instead of three generic posts, the AI generates three completely different styles. The first one is educational and focuses on the main learning points. The second is more personal and tells a story about the insights. The third is engaging and ask questions to drive comments and engagement. Each LinkedIn post comes with relevant hashtags that aren't just random. The AI analyzes the content topic and suggests hashtags that actually get engagement in that niche. It even includes a mix of popular hashtags and more specific ones to maximize reach. The formatting is perfect, too. Each post is optimized for LinkedIn's algorithm with the right length, proper spacing, and strategic emoji placement. You literally just copy and paste these outputs, and they're ready to publish. Now, here's where it gets really interesting. I wanted to test the limits of what this co-pilot feature could handle. So, I asked it to build a complex workflow for monitoring competitor content and generating content briefs for my team. The AI didn't just create a simple web scraper. The output system it built is incredible. When it finds new competitor content, it doesn't just notify you. It creates a detailed analysis report that includes the content topic, target
keywords, estimated traffic potential, content length and format, key points covered, and gaps we could exploit. But here's what blew me away about the content brief output. The AI generates complete content briefs that include suggested headlines, target keyword clusters, content outline with specific sections to cover, competitor analysis showing what they missed, recommended content length, and even suggested internal links for SEO. These aren't basic templates either. Each brief is customized based on the specific competitor content and our existing content strategy. The AI actually analyzes what we've already published and suggests angles that complement our existing content while targeting the same keywords more effectively. The output gets saved directly to our Google Drive in organized folders by topic and competitor. The file names are automatically formatted with dates and keyword targets, so everything stays organized. No manual sorting or filing required. I also test the invoice processing workflow that I mentioned earlier. The output from this automation is exactly what every business owner dreams of. When an invoice comes in via email, the AI doesn't just extract basic data. The output includes complete invoice details, vendor name, invoice number, amount, due date, line items with descriptions and costs, tax amounts, and payment terms. But it goes further than that. The AI also categorizes expenses automatically, flags any unusual amounts or vendors, and checks against our approved vendor list. Then it creates a formatted summary that gets sent to our accounting team with everything they need. Invoice image, extracted data in a clean table format, expense categorization, approval recommendations, and even suggested payment scheduling based on cash flow optimization. The ClickUp task it creates includes all this information plus links to the original invoice, due date reminders, and automatic assignment to the right person based on expense category, rent goes to facilities, software to IT, marketing expenses to the marketing team. What makes CMAI special isn't just that it can build these workflows quickly, is that the outputs are actually useful without any additional formatting or processing. Most automation platforms give you raw data that you still need to clean up and format. With SIM AI's copilot feature, the outputs come pre-formatted, properly structured, and ready to use immediately. The AI understands business context, not just technical data transfer. I'm putting together a complete training inside the AI money lab showing exactly how to leverage platforms like Simai to build multiple income streams. We're covering everything from content automation to lead generation systems to custom service workflows. Link in the comments and description to join over 20,000 members who are already scaling their businesses with AI automation. Let me show you another workflow output that really impressed me. I asked the co-pilot to build a lead generation system that monitors social media for people asking questions related to SEO services. The output report it generates for each potential lead is incredible. It includes the person's social media profile, their specific question or painoint, their business details if available, contact information, social media engagement levels, and even a suggested outreach approach based on their communication style. But here's the really smart part. The AI doesn't just find people asking generic business questions. The output filtering is so sophisticated that it only flags people who show genuine buying intent. Someone complaining about their website, traffic gets flagged. Someone just asking casual questions doesn't. The outreach suggestions in the output are customized for each person. For technical people, it suggests leading with data and case studies. For busy executives, it recommends short results focused messages. For small business owners, it suggests emphasizing ROI and cost effectiveness. Each lead report also includes a suggested follow-up sequence with specific messaging for day 1, day three, and day seven if they don't respond. The AI analyzes their social media activity to suggest the best times to reach out and which platforms they're most active on. This level of detailed actionable output is what makes AI copilot features so powerful. You're not just getting automation, you're getting intelligent business assistance that thinks through the entire process. Now, I know what some of you are thinking. This sounds too good to be true. there's got to be a catch. So, I really pushed the platform to see where the outputs might fall short. I asked it to build a complex e-commerce workflow involving inventory management, customer segmentation, and personalized email campaigns. The output reports it generates are enterprise level quality for inventory management. The output includes real-time stock levels, reorder point alerts, supplier lead time tracking, seasonal demand predictions, and automated purchase order generation. When stock gets low, it doesn't just send an alert. It creates a detailed report with recommended order quantities based on sales velocity and seasonal trends. The customer segmentation outputs are equally impressive. Instead of basic demographic groups, the AI creates behavioral segments based on purchase history, browsing patterns, email engagement, and lifetime value predictions. Each segment gets detailed profiles with recommended marketing approaches and product suggestions. For email campaigns, the output isn't just
generic templates. The AI generates personalized email content for each customer segment with subject lines optimized for their engagement patterns, product recommendations based on their purchase history and send time optimization for maximum open rates. If you're building any kind of business that relies on repetitive processes, these AI generated outputs are going to save you months of manual work and thousands of dollars in specialist costs. content creation, lead generation, customer support, data processing, marketing automation, everything becomes intelligent and actionized automatically. The beauty of the copilot approach is that you don't need any technical knowledge. You just describe what you want in plain English and get professional-grade outputs that would normally require specialized software and expert knowledge to create. The reality is that AI automation with intelligent outputs is going to separate the businesses that thrive from the ones that get left behind. Companies that embrace these tools early are going to have massive competitive advantages. Better data, faster insights, more personalized customer experiences, everything. But you have to act fast. Simai is free right now during their launch phase, but that's not going to last forever. Once they prove the value and start scaling, pricing is definitely coming. Get in now while you can test everything for free and build out your automation systems. I'm also seeing huge opportunities for people who can master these AI co-pilot platforms. Businesses everywhere need these intelligent automation systems but don't know how to describe their requirements to AI effectively. If you can learn to work with AI co-pilots to generate useful business outputs, you're looking at a massive service business opportunity, the workflow outputs I showed you for content creation alone could be sold as a service for thousands of dollars per month. Think about it. Instead of spending months learning traditional automation platforms, you can master AI assisted workflow building in weeks. Then you can offer automation services to businesses at premium prices because you're delivering enterprise level outputs in a fraction of the time. The automation revolution is happening right now. And most people have no idea how sophisticated these outputs are becoming. We're not just talking about moving data between apps. We're talking about AI that generates business intelligence, marketing insights, and operational recommendations automatically. This changes everything about how businesses operate. Marketing automation, customer service, sales processes, content creation, data analysis. Every single business function can now generate intelligent, actionable outputs just by describing what you want to and AI. Julian Goldie reads every comment. So, make sure you comment below and let me know which workflow outputs impressed you most. Are you more interested in content generation, lead analysis, or business intelligence automation? But here's what really sets this apart from traditional automation platforms. Most tools just move data between applications. SIM AI's C-pilot feature actually thinks about your business processes and creates intelligent outputs that help you make better decisions. The error handling in these workflows is also impressive. Instead of just failing when something goes wrong, the AI creates fallback processes, sends detailed error reports with suggested fixes, and even learns from failures to prevent similar issues in the future. The scalability is incredible, too. As your business grows, these workflows adapt automatically. The AI adjusts processing capacity, optimizes performance, and suggests improvements based on usage patterns and business growth. The lead generation workflow I showed you could be packaged as a service for real estate agents, insurance brokers, consultants, or any business that needs qualified prospects. You could charge monthly retainers for providing qualified leads with detailed intelligence reports. The customer service automation could be sold to e-commerce businesses, SAS companies, or service providers who want to improve their support operations while reducing costs. The ROI on these implementations is so clear that businesses will pay premium prices for proper setup. Also, if you want a free SEO strategy session to see how we can help scale your business with these AI automation strategies, there's a link in the comments and description to book directly with our team. For my AI profit boardroom members, this is exactly the kind of cuttingedge automation we focus on. We're not just using these tools. We're building entire business models around the intelligent outputs they generate. Currently have over 1,000 members and the results speak for themselves. The AI automation revolution is here and the outputs are incredible. The question isn't whether these tools are going to change business forever. The question is whether you're going to be generating intelligent business insights automatically or still doing everything manually. Get started with SIM AI today while it's still free. Start building workflows that generate actionable business intelligence and thank me