In this video, I break down everything you need to know to use Claude Code effectively for building automations. I cover the interface and what actually matters, the WAT framework we use to build every automation, how to communicate clearly with Claude Code and get it to ask the right questions during planning, the superpowers like MCP servers and Claude skills, and how to test, optimize, and deploy your workflows so they run automatically. No fluff, I build a real workflow live so you can see exactly how it all comes together. By the end of this video, you'll understand Claude Code better than most people using it and have a clear framework for building your own workflows.

In this video I'm gonna be showing me live selling $6,000 AI Workflow to a business. I'll be reacting live, and diving deep into the good and the bad parts of these sales calls, and using my knowledge to help improve your sales skills when selling AI workflows in the future. If you enjoy this type of content and want to dive deeper on monetizing your AI automation knowledge, let's chat here. Hope you enjoy!

I'm looking for some inspiration guys. Is anyone on here a non-technical founder successfully running their own AAA that wouldn't mind speaking to me and parting some of their wisdom? I'd love to hear about your experiences.

Hi everyone, after following along with Nate's video I've now created a voice agent and linked it to a pinecone database. But even though the connections are all green, the agent can't find the data inside the knowledge base. It says 'not found'. Before this it was making up answers. I chatted with the pinecone assistant and it helped me reformat my knowledge so that it is more readable, but this didn't fix the problem either. I have a feeling that it might be something to do with the tool settings in ElevenLabs, but I'm not 100% sure. Does anyone have any ideas or an opinion that might help me? I've checked for other answers in skool, but can't find anything.

In this video, I show you how to build a voice AI agent in n8n using ElevenLabs to interact with your vector database for RAG in a more natural, conversational way. Instead of texting and reading, you’ll use your voice to ask questions and get real-time, human-like voice responses. This makes accessing your knowledge base faster and more convenient, perfect for hands-free interactions or enhancing your AI assistant's capabilities.