AI Generated Corporate Frontend

rewrite this, expand on it, finish the ideas, write them in my style and condense everything: Yeah, I have been messing around with building custom set ups using MCP, RAG with a knowledge graph, basic reasoning models with a next.js frontend. With what I have taught myself and documented on my blog I could put together a great customer service agent, so I want to get back to Adobe CC, but with it you could generate an entire video representative of a company. Just generate an AI generated video of the model speaking the LLM generated content. The LLM would have access to RAG from a knowledge graph of the entire SOP of a corporation and have access to any action you can think of through MCP, allowing you to design an entire system with this fancy form of frontend. So basically the frontend of the company can be this AI generated video of a person, the CEO, CTO, CFO etc could each have their own version all rolled into this one generated representative of the company. So a person could ask it something and it would determine which role would best reply to the response through using networkx and represent agents as nodes allowing different access levels as well as what one node would be allowed to or capable of doing. You could define the roles so that each is aware

Yeah, I’ve been experimenting with building custom AI setups using MCP, RAG with a knowledge graph, and basic reasoning models—all running with a Next.js frontend. With everything I’ve taught myself and documented on my blog, I could put together a seriously powerful customer service agent. But I want to go beyond that. I want to get back into Adobe CC because, with the right setup, you could generate an entire AI-powered video representative of a company. Picture this: an AI-generated video model speaking LLM-generated content, pulling from a knowledge graph that holds the entire SOP of a corporation. The LLM would have access to RAG for dynamic responses and be integrated with MCP to execute any action you can think of. This means you wouldn’t just have a chatbot—you’d have a fully interactive AI face for the company. The frontend of the company itself could be this AI-generated figure—an adaptive, video-based AI that represents the business in a way that feels tangible and personal. You could generate different personas for the CEO, CTO, CFO, or any role needed, each acting as an intelligent, specialized interface. Someone could ask a question, and the system would determine which “role” should respond, leveraging networkx to model agents as nodes. Each node would have distinct access levels and capabilities, ensuring that responses align with the expertise and responsibilities of the appropriate figure. You could define these roles down to granular details—who has access to what data, what actions they can take, and how they interact with the broader system. The result? A fully AI-driven corporate frontend, where interactions feel natural, intelligent, and deeply integrated into the operational structure of the company.