AI Generated Content

Much of the content on this site was created by leveraging AI. I know this is a contentious topic, and there are incredibly valid concerns regarding its use in our unstable world, specifically regarding intellectual property theft, environmental costs (like water and energy consumption), and the widening of economic disparities.

However, despite these realities, we have to ask ourselves: can we put the genie back in the bottle? Is there any amount of regulation that would entirely halt this technology? Today, it is easy enough for anyone to set up a home-brewed AI system. While a local model might not rival what well-funded institutions produce, it still exists. We’ve already seen models powerful enough to generate entire games from a handful of prompts, so it’s unrealistic to expect universal agreement to throttle this progress.

Unlike previous technological advances that could be somewhat controlled through regulation, AI is evolving too rapidly. The foundation is already built, and the capabilities are widely known. Even if we tried to regulate it into the ground, my argument is that it wouldn’t stop growing. So, what do we do? We could refuse to use it entirely, but that won’t pause the momentum.

In my view, the best path forward is a combined effort. We should absolutely regulate it at the top to help mitigate the risks, but we must also embrace it to tackle difficult problems. AI removes barriers to entry, empowering all of us to apply our spare time toward our preferred fields and intentionally drive the technology toward a net positive for humanity.

With that philosophy in mind, I have applied AI to specific categories tied to this site. A couple of years ago, I started writing speculative science fiction news. The goal was to use my own creativity, amplified by ChatGPT, to entertain, while also warning about the dangers of certain social aspects of our society. You can check out that effort over at OmniSpan Network. If it gets enough traffic, I may even revive it.

The next application of my AI-augmented workflow is data analytics. While it’s possible in 2026 to simply feed raw data to an AI and ask for an analysis, my experience shows that this often leads to inconsistent results. Not everything needs to be fully automated by AI, but we can still use it as a powerful assistant to achieve our analytical goals.

To that end, I completed Tableau and Data Analytics training through DataCamp.com. Alongside that formal training, I leveraged AI to source public data for download, understand complex data fields, and navigate specific elements within Tableau while building my dashboards.

Equipped with this skill set, I set out to analyze public data on housing, employment, and economic factors for the city of Saint Paul. I also analyzed data on ICE activities during Operation Metro Surge to contribute to the public consciousness surrounding those actions. You can find these projects, and hopefully more in the future, over at Jay-Analytics.com.

Finally, there is this site itself, a central hub and portfolio that demonstrates how AI can be leveraged to produce something meaningful. I’ve had the idea for a centralized portfolio linking out to my other accomplishments for several years, but recent developments in Claude models finally made it a reality.

I utilized Claude to learn WordPress and to help write the HTML, CSS, and code for React games. While there are plenty of tools out there that will spit out a generic site from a single prompt, this project needed to be far more complex. This website is a testament to my ability to architect an AI-augmented workflow, producing a cohesive final product built from many moving parts.

I hope you enjoy browsing my content as much as I enjoy making it.