🚀 FlowMart Beta — Limited Access We’ve opened FlowMart, a centralized marketplace where AI creators, builders, and buyers come together. What you can do: - Sell AI templates (n8n, Make, Zapier, etc.) - Sell micro-SaaS & AI tools - Keep 100% of your profits during beta - Buyers can use ready-made solutions or hire creators directly This is not just a template store — it’s a place to find talent, collaborate, and ship real AI solutions. 🔒 We’re selecting only 5 beta testers from this community.Access is not instant — selected testers will be contacted via DM or email. 👉 Apply here: https://forms.gle/CxbKxmgoTtWx8pEy9 Let’s build the go-to marketplace for AI automation together.

When - Oct 25-Oct 26 @10:30am EST Where - Online (Register @ www.FastTrackAIMastery.com) https://meet.google.com/vym-kbfd-mww

🚀 Big News! Absolutely stoked to share that I am now officially an n8n Verified Template Creator! A massive thank you to the awesome team at n8n for the recognition and for building a product that empowers so many of us to create. This is a huge milestone and a testament to the incredible power of this community. I can't wait to bring even more high-quality, verified templates and projects to AIC and AIC+ Skool community. We're just getting started! #n8n #AI #Automation #Community #EdTech #FastTrackAIMastery

Agentic RAGs: The Future of AI Workflows Leading AI companies like Glean, Perplexity, and Harvey use sophisticated Agentic RAGs to handle complex enterprise tasks. This powerful combination leverages the strengths of both: - RAG (Retrieval Augmented Generation): - AI Agents: How Agentic RAGs Combine Strengths: - Smarter Retrieval: AI agents intelligently manage RAG's data retrieval, dynamically selecting sources based on query needs. - Enhanced Prompts: Agents build on RAG's augmented prompts by adding planning and real-time, tool-based data, feeding a highly refined input to the LLM. Operational Workflow (Simplified): 1. Query In: Agent receives user query. 2. Context & Plan: Agent uses memory and plans data retrieval strategy. 3. Data Fetch: Tools (like vector search) gather relevant data. 4. Prompt Optimize: Agent combines data, query, and prompt, applying reasoning. 5. Response Out: LLM generates final, intelligent output. Agentic RAGs are transforming how AI tackles complex challenges in the tech industry.

AI Automation Society Plus just won Q3 Skool Games, back-to-back 1st place finished and top 5 in all three quarters of 2025. This wouldn't be possible without each of you helping us make AI Automation Society a space for everyone. Truly grateful for this amazing community we're building together. Quick heads up: Plus pricing increases in Q4. If you've been thinking about joining, now's the time. We'll give everyone a full week's notice before any price changes. Check it out here. Thank you all for the incredible support. You guys are the best! Cheers, Nate