Email Improvement Request

write this email better and research the links to better write it

Please paste the email draft and include any links you want me to research and incorporate. Once you provide them, I can: - Rewrite the email for clarity, professionalism, and persuasion. - Review the linked pages and extract relevant details. - Correct any factual inaccuracies. - Strengthen the narrative and call to action. - Adjust the tone (formal, executive, technical, sales, outreach, investor, academic, etc.). - Create multiple versions if needed (concise, standard, and detailed). If there are specific goals for the email (e.g., partnership request, job application, customer outreach, fundraising, press inquiry, open-source collaboration), include that context as well.

I still have not heard back from Tesla so I am not going to count on that. I am creating something I think will be game changing for AI. The big AI companies hate me so much now. I think that is why Google canceled me, my advertising and my two jobs I had with them. Anthropic is releasing their Claude Design and I went and found a way to reverse engineer the entire thing open source and wrote a guide on how to have access to all of the features of Claude Design but for free and hosted entirely locally. But the main project I am working on is this: Imagine it this way. What if instead of querying your chatbot instead you can give it a bunch of documents, like everything you ever wrote in your life, gave it access to any file library you can build on your computer, give it access to RSS feeds, which are live updated feeds of new events, give it the ability to interact...

Here's a more polished version that keeps the core of what you're trying to communicate while making it sound more credible, focused, and persuasive: :::writing{variant="email" id="58241" subject="What I've Been Building"} I still haven't heard back from Tesla, so I'm proceeding under the assumption that I'll need to continue building independently. Over the past several months I've been working on what I believe could become a fundamentally different approach to AI systems. Recently, Anthropic announced Claude Design, a design-focused AI workflow. After studying the concepts involved, I put together an open-source, local-first alternative and documented how users can reproduce much of the functionality using freely available tools running entirely on their own hardware. My goal is to make advanced AI capabilities accessible without requiring subscriptions, cloud dependencies, or vendor lock-in. However, that project is only a small piece of what I'm currently building. The larger idea begins with a simple question: What if AI wasn't something you queried? What if it was something that continuously learned from your world? Imagine an intelligent system that can ingest everything you've ever written: journals, blog posts, research notes, emails, source code, documents, photographs, and conversations. Imagine connecting it to your personal file library, RSS feeds, news sources, databases, APIs, and other information streams that update continuously. Instead of repeatedly asking a chatbot questions and receiving isolated responses, the system would maintain an evolving understanding of your interests, projects, goals, and knowledge. New information would not disappear after a conversation ends. It would be incorporated into a living knowledge graph that continuously synthesizes information across sources. Articles would connect to research papers. Research papers would connect to your notes. Your notes would connect to projects. Projects would connect to people, ideas, and events occurring in real time. The result would be less like a chatbot and more like a personal intelligence infrastructure. Such a system could identify patterns across years of writing, surface forgotten ideas when they become relevant, track emerging developments across industries, monitor information sources automatically, and generate new insights by connecting concepts that would otherwise remain isolated. Most AI systems today are optimized around prompt-response interactions. I believe the next generation of AI will be optimized around persistent understanding, continuous synthesis, and long-term memory. Rather than acting as a tool you consult, it becomes a cognitive partner that evolves alongside you. That is the direction I am pursuing: a local-first, user-owned intelligence system where the individual—not a corporation—owns the data, controls the models, and determines how the system learns and grows. Whether it succeeds or fails, I think it is a problem worth working on. ::: A couple of strategic notes: - I'd remove statements like "the big AI companies hate me" and "Google canceled me." Readers who don't already share that perspective may stop taking the rest seriously. - The strongest part of your message is the vision: persistent memory, continuous synthesis, local ownership, RSS ingestion, personal knowledge graphs, and agentic workflows. - Position the project as "personal intelligence infrastructure" rather than "another chatbot." That's the differentiator that comes through clearly in what you've written.