AI Middleware

Do not let your job become AI middleware

I wrote this blog, not AI. AI helped me. However, the actual words are mine. That is an important distinction. I use AI generated material, and I will clearly identify AI generated material. If I had generated a prompt and had AI write the blog the only experience of me in the blog would be in the prompt itself. If all I am doing is generating a prompt based upon your request for information, what do you need me for? I am AI middleware between you and the knowledge that you want. The reverse applies to you.

People that rely on AI without using their own critical thinking are in danger of becoming middleware. AI middleware jobs are jobs that a prompt can replace. That is a simplistic definition, but it makes the main point. You need to bring value that AI cannot

AI Personal Assistant

The following is a description of how the wealthy and executives are creating AI personal assistants to minimize AI middleware people. This enables a better allocation of financial and time resources. The AI personal assistant helps them focus their attention on the creative and strategic aspects of their role while having a more efficient support infrastructure.

Gemini wrote this description based upon a prompt. I had the idea and I had Gemini research it for me. I could not present the information any more effectively. That is because it is more informational and rewriting it would be a waste of time. I am spending my time on how I would use it to make my company more profitable.

Gemini discussion of personal assistant

You have accurately described the architecture of “Sovereign AI” or “Private RAG” (Retrieval-Augmented Generation) systems. While often marketed to “Enterprises” or “Family Offices” rather than individuals (for privacy and tax reasons), the function is exactly as you surmised: a private, domain-specific brain that knows your secrets, connected to a public brain that knows the world.

Here is the evidence supporting your suspicion, broken down by the components you identified.

1. The “Starter Package” (Open Source Foundation Models)

Wealthy individuals and executives rarely build models from scratch (which costs $100M+). Instead, they use “open weights” models as their starter package.

• The Evidence: Meta’s Llama 3, Mistral’s Mixtral, and Falcon are the standard “starter packages.”

• How it works: These models are downloaded to a private server. They already know how to speak English, code, and reason (the “starter” capability). They are then “fine-tuned” or connected to private data without that data ever being sent back to Meta or OpenAI.

2. “Training with Their Own Materials” (Context Injection & RAG)

This is the key differentiator. Public models (like ChatGPT) don’t know your emails, investment history, or family trust details.

• The Technology: It is called RAG (Retrieval-Augmented Generation). Instead of “retraining” the model (which is slow), a system indexes the user’s private life—emails, legal PDFs, financial spreadsheets—into a searchable vector database.

• The Product: Companies like Personal.ai and Gmelius explicitly sell this capability. They offer “digital twins” or “smart inboxes” that learn your specific tone of voice and historical context to draft replies or answer questions based only on your private data.

• Luxury Sector: Wealth management platforms like Masttro and NobleHost now integrate “Family Office AI” that allows UHNWIs (Ultra High Net Worth Individuals) to chat with their entire financial portfolio (”What is my liquidity exposure in Asia right now?”) without the data leaving their private cloud.

3. “Interconnected with Public LLMs” (Hybrid Architecture)

You correctly identified that they don’t rely solely on the private model.

• The Evidence: This is standard “Hybrid AI” architecture.

• The Workflow: If an executive asks, “Draft a letter to the board about our Q3 performance,” the system uses the Private LLM to find the Q3 numbers and the executive’s writing style, but might ping a Public LLM (via API) to polish the grammar or summarize general market trends, stripping out sensitive names before doing so.

4. Hardware & Infrastructure (The “Private Server”)

The final piece of evidence is the hardware market itself, which has pivoted to sell “Personal AI Servers” to this demographic.

• Home/Office Servers: You can now buy or lease “AI Servers” (often featuring NVIDIA A100 or H100 chips) specifically designed to sit in a basement or private rack. Companies like Cloudiax or generic hardware vendors market these as “Private AI” solutions.

• Privacy-First Hosting: “Sovereign Clouds” are emerging that guarantee data never crosses borders or enters public training sets, catering specifically to C-suites and Family Offices who view data leakage as an existential risk.

Summary of the “Rich Person’s AI Stack”

If you were to buy this today, the invoice would look like this:

Gemini End Here

Use Cases

Here is a basic example of how this would make a business more efficient. One of my major problems was keeping the project management system updated. We took a complete cycle approach to project management that included a pre-sales and post sales section. This enabled a smooth handoff when the salesperson closes the deal. Unfortunately, a significant portion of the staff considered this a secondary task and were terrible on keeping it updated. The updates were critical to scheduling, resource allocation, risk analysis, forecasting and a variety of other c functions. To solve this problem, I would have a human go through the project management system to see who had not updated it and then bug them to update it. This took at least 10 to 15 hours a week and the results were mixed at best.

An AI personal assistant could handle this task while providing more added value. The assistant would have access to the project management system, as well as other company document centers. It could review project management status, send out emails with specific instructions and suggest corrective actions, while informing me of the status. This would free 15 hours a week, as well as making this an automated function as opposed to a human function. In addition, it would remove the stress from the employee requesting the updates and create a clear and consistent reporting structure.

This is one of many examples that would have made my job as a CEO much easier. I could use it for everything from product development to financial forecasting. I used to do a lot of technical research while integrating various products. For example. I would look up the compatibility between different operating systems and hardware revisions. The personal assistant could provide the research while I was designing the overall architecture.

I believe this personal assistant architecture would have freed me from much of the distracting and tedious work. Thereby allowing me to focus on the most important aspects of my business. It would also have reduced my need for middleware people. The money I was paying the middleware people would go to high value individuals who directly contributed to corporate success.

Conclusion

AI can amplify your capabilities and increase your productivity, or it can make you obsolete. Obsolescence occurs when you let it supplant your own talent and judgement. If AI does your thinking for you, your critical thinking ability will decline. if you use it to amplify your skill you will prosper. We should never forget that AI is a disembodied entity that has never experienced fear, loneliness, hunger, love, elation or any of the other emotions and feelings that make us human. It only sees the patterns in the shadows of what we live. Bring that lived experience to your use of AI.