In this video I'm going to be telling you why you need to stop selling AI Agents and sell AI Solutions instead. AI agents are not what they were 6 months ago, because now everyone has hopped on the trend of selling AI agents. So to make a lot of money selling AI in 2025, you need to be different, and to stand out by selling AI solutions. It's a game changer! So grab your pen and paper, and get ready to take some notes. Hope you enjoy!

We're looking for a few small AI automation agencies that are getting clients but struggling to scale. For the first time ever, we're teaching the exact playbook that took us from chaos to $100k/month MRR in 8 months. Applications close October 1st at 11:59 PM Eastern. 🎁 As a bonus, we're also giving our members 6 FREE months of AIS+ access ($500+ free) The catch? Founding cohort pricing ends forever after October 1st. Small group only. Serious agency owners who want to scale fast. Click here to get all the details Cheers, Nate

n8n just released a brand-new feature: native data tables. This makes it possible to store and manage data directly inside your n8n environment without needing an external database or constant API calls. In this video, I walk you through how these tables work, how to set them up, and how you can connect them to your workflows or AI agents in just a few clicks. I also cover the pros and cons, and when you might still want to use a traditional database instead. If you’re building quick proof of concepts, demos, or just want a simple way to manage data without latency or rate limit issues, this feature is a game-changer. The google sheets templates: Contacts Sales Test

What are the most common mistakes new agency owners make?

In this video I show a new, faster way to build RAG agents in n8n using the Pinecone Assistant to handle the heavy lifting, no preprocessing pipeline, no manual chunking, no custom embedding flow. You simply drop your documents in and Pinecone takes care of ingestion, splitting, and indexing on the back end. Then we wire it up in n8n to get accurate answers with trustworthy, page-level citations and exact text quotes pulled straight from your knowledge base. If you’re a beginner, this is the easiest path I’ve found to stand up a production-ready RAG agent; if you’re more advanced, it’s a huge time-saver for rapid prototyping. Follow along step-by-step as I connect n8n to Pinecone Assistant, load docs, test grounded responses, and return clean sources you can show to clients or stakeholders, all with a simple, no-code build that you can replicate in minutes.