AI could do it<\/a>. It\u2019s like magic to me.<\/p>\nI am not an engineer. I do not write code. I spent the first three months of this company just learning what was possible and finding someone who did understand it so we could build it. I would love to tell you that I now know what a RAG pipeline is, or how vector databases work, and why retrieval-grounded generation is different from a chatbot. I wish I could tell you all those things, but I can\u2019t.<\/p>\n
I\u2019m still working on getting my emails to show up on both my phone and my computer at the same time. What I can tell you is that I know my limitations, so I brought someone in who does understand it, and I got out of their way.<\/p>\n
To be fair, I have to become conversationally fluent in technology. Just enough that I can talk about our products and then refer you to engineering for the tough questions.<\/p>\n
What has stayed the same<\/h2>\n
The fundamentals of building a company are all the same, even in AI.<\/p>\n
You still need a problem worth solving. You still need a team that can execute. You still need to find customers and you need to tell a story that makes investors want to listen.<\/p>\n
The technology is different, but the business inside the business is the same. Margins matter. Customer acquisition cost matters. Retention matters.<\/p>\n
The founders who are going to win in AI are not the ones with the best models \u2014 they are the ones who understand that technology is a tool, not a strategy and the best technology will still fail if you don\u2019t know how to run an actual business.<\/p>\n
The advantage nobody talks about<\/h2>\n
Now here is the scary part: there is an unspoken bias in Silicon Valley that AI companies should be founded by 25-year-old engineers and be based in the valley.<\/p>\n
But too often, the younger founders don\u2019t understand operations or money management. Too often, they are on a quest to build technology that is looking for a problem.<\/p>\n
I have spent 30 years understanding customers, sales cycles, distribution channels, and how to build something people will actually pay for. I did not have to learn how to run a business. I had to learn the technology and, more specifically, the AI side of the new world. That is a much shorter learning curve than the reverse. (Now I say that because our Chief Architect has a PhD in computer science and robotics with 6 patents to his name. I don\u2019t need to understand his world. He has that covered.)<\/p>\n
If you are an experienced entrepreneur looking at AI and thinking you are too late, too old or too non-technical, I\u2019m here to tell you that you are wrong. The market is not short on engineers. It is short on experienced founders who know how to build companies, and there has never in the history of the world been a better time to do that.<\/p>\n
What scares me<\/h2>\n
Every company I have built before, I could see the finish line. I knew what success looked like.<\/p>\n
The potential ceiling here is so much higher than anything I have ever done before. That is what\u2019s truly interesting and a little intimidating. We are not building a restaurant chain or an insurance brokerage, or even a lead-gen company where the outcomes and product are specific. We are building AI-driven technology that could fundamentally change how humanity preserves its memory.<\/p>\n
That sounds grandiose. I know. But when you watch someone have a conversation with an AI version of their father and see their reaction, it stops being grandiose and starts being real.<\/p>\n
And I think that is exactly why it is worth building.<\/i><\/p>\n<\/p><\/div>\n