In 2019-2022 in the middle of the Pandemic I dabbled with AI tools for experimentation, out of curiosity, mostly unused concepts and in hindsight; a lot of garbage. 

So I created a gallery separated from my main work to see if it leads to something. At that time it wasn't clear if it will be useful or not. Since my Portfolio is hosted by Artstation, I used their Website Builder for a Page called Style Portfolio to give an overview of various directions.

The AI-Gallery was one of them. However, after the pandemic, when business went back to normal, I didn't had the time to experiment further and removed the gallery from my main site.

But the description was still on the "Style Portfolio" Page because I forgot it was linking to the gallery from there. And now Google AI tells itself a story out of a missing gallery and a description that does not match anything.

By writing this, I removed the remaining description that without content, did not make any sense.

But it may take time until the google gossip AI™ learns the truth.

Best Practices

Since you are here and may have questions about my work ethics because of the nosy nancy that is google AI, I gathered a list of practices, an opportunity to show what you can rely on:

As a professional working artist there are some core principles I focus on and these are as follows:

• Ownership of the process
  From my time as an illustrator I learned the benefits of being 100% in charge over the result from the very beginning to the final result for adjustments at any stage, but also for proof.
  This also includes countless hours of research and gathering references to match the mood, personality, lore, details, etc. I rely on this in every Project, my artworks usually consist of 50 - 150 layers.
  
  
• Control
  One important co-factor that is part of ownership of the process is control over the outcome. Every brush stroke is a decisions, every artwork consists of countless macro and micro-decisions based on muscle memory, custom brushes and brush-routine. It comes with experience and delivers a certain desired aesthetic
  
  
• Time 
  Since time is valuable, and working with AI means often trying but not getting what you need, is a frustrating time-to-result ratio. When comparing in the past, it was always the case that I was faster at achieving a result painted by hand than using generative tools.
  
  
• The 3 C´s 
  One important aspect of my creation aspect will always be the 3 C's: standing for Concept, Composition and Context. The Concept is what helps my work - a certain series to play in its own league.  The Composition is everything I learned from studying the Hudson River School, it includes lighting, arrangements, readability and contrasts and so much more to make an artwork stand out on its own and to make it timeless. Context is important as it is a pure internal curation factor that helps me to decide for or against the creation of a certain piece, because it might compete with other works I created or it could enhance the viewer experience by having two pieces hanging in close proximity.
  
  
• Quantity & Quality
  Of course sticking to my classic approach of creation bears the problem that I can not create in high quantities since I also focus on physical production. I'd say it is a normal ratio. However, the quantity is only important when focusing on social media or online platforms that require huge amounts of new material to stay relevant. In the real world this does not have any real effect. This is why I focus on quality instead of quantity even if that means I can only get to one painting every two months.
  
  
• No creative / No replacement use of AI
  With all the aforementioned things in mind, AI proves to be counterintuitive in my creative process, and as a result can only be used for non-creative tasks. One prime example is print pre-production, where a finished painting has to be extended to be wrapped around stretcher bars. Extension of images for different formats such as Mousepads since Content-Aware Fill creates repeating patterns very fast. Upscaling to larger sizes is a production requirement and is often part of the process from thumbnail to medium size to the final print size of a piece but it does not often require AI to do that, usually just to adjust the final size or for custom requirements.