In this video, I walk you through exactly how I built my own AI executive assistant using Claude Code, and how you can do the same. We go through four phases: setting up the project, adding context and rules, building out your first skills and sub-agents, and how to let it grow over time by layering in more skills, memory, and context as your needs evolve. By the end, you'll have a clear blueprint for setting up a personal AI assistant that actually works the way you work, not just a generic chatbot, but something that knows your business, follows your systems, and gets smarter the more you use it.

Quick post for the community. I’m looking to partner with someone who can bring in businesses that want serious AI solutions. Just to be clear — I’m not looking to hire a client acquisition person. I’m looking for a true partner to work on projects together. A bit about me: • 1+ year building AI systems and automations • Multiple real projects delivered for businesses • Proven ability to build custom AI solutions that actually generate ROI What I build: ⚡ AI agents ⚡ Chatbots ⚡ Business automations ⚡ Custom AI workflows & dashboards ⚡ Integrations with business systems If a business needs a powerful AI solution built properly, I can handle it. Your role would be bringing in the clients / opening opportunities, while I focus on building and delivering the systems. The model: 🤝 50 / 50 split on every project No salary. No hiring. Real partnership. If you’re someone who: • enjoys outreach / sales • has access to businesses or communities • wants to close high-value AI projects Send me a DM and let’s talk.

I’m finally half over for my agency landing page website with CTA for discovery call. Can you share your thoughts and roast it 😝, so I can finish the rest half of it ? Onezipp.com Cheers Pratik

Hello, I want to build an agent that scrapes trending jewellery from Google and Amazon, selects the most trending items, and after human approval creates listing sheets for Amazon and Etsy. Has anyone built something like this before? I'm not sure whether it would be easier with n8n or Python.

In this video I walk you through how to use Gemini's new File Search API to take your n8n RAG agents to the next level. This setup is super simple and does not require any coding. You can drop in a document, let Gemini handle all of the indexing and storage for a very cheap price, and start running powerful RAG agents right away. The best part is that you can store your documents for free and then plug your AI agents into the File Search API so they can search through everything. It makes building RAG systems easier than ever before. I also cover a few important things to think about before you start. It is a game changer, but it is not magic. There are a few details that matter for accuracy and performance, and I walk you through those so you know how to get reliable results. COPY THE GOOGLE SHEET HERE