Today, following our discussion on LLM Orchestration, we are specifically introducing the RAG Pipeline. For satisfactory processing, the RAG (Retrieval-Augmented Generation) pipeline is a key element in building AI systems that provide successful and context-aware answers. This pipeline combines the powerful capabilities of language models with document-related search functions, ensuring that AI responses are based on user data rather than relying solely on prior knowledge. The following is a subsequent diagram illustrating the RAG pipeline. It shows how data is retrieved, processed, and used to generate high-quality, powerful answers. This approach not only enables excellent answers but also allows for the integration of features through added content. We welcome any questions related to software, including issues encountered during the learning and development process. Our goal is ```for the future```.

Hi everyone, Big shoutout to @Ryan Doser and everyone who helps keep this group going. It’s rare to find a group where people are actually building and not just talking about AI. Currently working as a product manager at an AI startup and I have been using various AI tools every day for the past year. That said… Claude has my attention right now. Outside of work I’m in “explore + pressure test ideas” mode. Looking at workflows, weird use cases, and anything that actually moves the needle beyond surface-level stuff. I’m always down to connect with people who are experimenting seriously! Feel free to reach out.

My new 'Claude Code Crash Course' is live in the Classroom - https://www.skool.com/ai-marketing-insiders/classroom/0332bce0?md=0e8dde7090914dbab6fcb7fd685705b3 This is built specifically for non-technical marketers, content creators, business owners, and anyone else who feels intimidated by Claude Code. I've gotten a ton of messages from members asking for a structured, beginner-friendly way to learn Claude Code so that's why I put this together. Access: Available to Paid Members Only (Premium & VIP) What's Inside: - 10 core modules covering setup, CLAUDE.md, skills, MCPs, agent teams, image generation, landing pages, SEO workflows, and more - 3 Bonus modules on Claude Cowork, AI marketing workflows, and an honest breakdown of the OpenClaw hype - Resources, prompts, and Skills linked in every module I'll be adding more to this over time but this is a good starting point for most. Drop a comment if you have questions or want me to cover something specific on Claude Code. Enjoy!

So I've just set up Remotion (free video creation skill for Claude Code) and decided to test it with a PDF we made for our WhatsApp community - a sleep poll with results across 3 questions. I gave Claude the PDF, told it what I wanted, and it built a 5-scene animated video with transitions, animated bar charts, branded colours, the lot. Rendered it as an MP4 right from the terminal. The whole thing took minutes. No video editor, no Canva, no uploading to some third party tool. It all happened locally on my machine. Remotion itself has been around since 2021, it's a proper established framework, not something experimental. What's new is the Claude Code skills integration that means you don't need to know React or write any code yourself. You just describe what you want and Claude Code does it all. Already scheduled it for LinkedIn on Monday. Now I'm thinking about what else I can repurpose this way, podcast clips, course promos, campaign content. Video attached so you can see the output. First attempt, no tweaking. Pretty impressed.

Hi all, I'm Joe from England, UK 👋 I'm a freelance content marketer/writer, creating content the old-fashioned way, by hand. I want to start leveraging AI in my work. To do so, I'll need to find new clients who are happy to hire someone who uses AI for the content marketing strategy, creation, and other related tasks -- hopefully I can use AI to find these clients? I'm currently using Claude Pro, but would like to know how to use AI to land new clients and create a workflow to help them grow their businesses.