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- Expert coaches are facing a crisis of differentiation. It’s leading to lost clients and diminishing returns. Here are 5 ideas to personalize your client’s journey with AI.
Expert coaches are facing a crisis of differentiation. It’s leading to lost clients and diminishing returns. Here are 5 ideas to personalize your client’s journey with AI.
As a coach or consultant, getting noticed in a sea of others is tough, right?

Everyone seems to be doing the same thing, and it’s easy for clients to just move on to the next person. That’s a big headache because it means you might lose clients and not make as much money as you could. But what if you could change the game and keep your clients coming back for more?
This article is all about that — we’ve got five cool ideas that use AI generated art, which is like having a smart robot helper, to make what you offer really special for each client.
Imagine giving each person exactly what they need — that’s sure to keep them around! Let’s dive in and see how you can make your coaching stand out and keep your clients excited.
But, before we get started, if you’re looking for a deeper dive into rapid AI software launch strategies that will accelerate your business model on my LinkedIn.
What is AI generated art?
Creativity has been the missing component in business since the beginning. Over the years we have automated nearly everything. Except creativity. That elusive “something” that is able to connect disparate disciplines. Creating something entirely new.
Art is the best example of creativity that one can find and, again, it has solely been the domain of man. All of this is quickly changing with AI generated images. With a combination of deep learning algorithms and datasets in the millions of images machine can now generate art.
Currently we see this in two forms, image synthesis or image enhancement. Meaning AI can now create generate art from text, noise, or nothing at all. In addition existing images can be improved with text.
How does AI generate images?
Getting into the details AI generates images via a complex network of algorithms called a neural network.
When an image is fed into this network each of the pixels in the image is given a coordinate within a grid and a value for the color. Alongside many more attributes. These values are then calculated as variables within the algorithms mathematical equation. Small changes to these variables result in different images being reconstructed.
While there are many different networks that can produce images the most common is transformers. Patented in the seminal work “Attention Is All You Need”. This architecture is one of the reasons AI art has taken off in recent years and become so widely accessible.
Why is AI image generation important?
Creativity and design is always in short supply in business. Creating a majority of bottlenecks. Especially in the tech industry.
AI image generation integrated into workflows creates an opportunity for automation. Streamlining a number of processes within small and large businesses. AI can shorten the production time visual media such as movies and games by creating characters and scenarios as realistic as their human counterparts.
Image generation can also help in the field of science and education through realistic simulations and training materials. Currently, institutional education is difficult because supplies are limited. Imagine if every student could have a personalized textbook created just for them. Images included.
What are the challenges of AI image generation?
As with anything AI the source is always the data. This reiterates the common mantra in the field, “garbage in. garbage out”.
Working with AI image generation can be exceptionally difficult if the source images are low quality or inconsistent. While it is difficult at times to have machines understand the complexities of the real world AI does a surprising job of finding patterns in most images and is getting closer to realistic image outputs everyday.
Raising concerns when this technology reaches mass adoption. If the images used to train the AI is biased the output will be biased. One more concern is the possibility of subliminal messages being inserted maliciously without our knowledge. By the time we catch on it will be too late.
What are the opportunities of AI image generation?
As with most other opportunities in this new generation of AI, image generation will create massive wealth for those who can find a way to integrate it within existing workflows as systems.
AI image generation is just a tool. So while some people can make money swinging a hammer the real value of the tool is when the hammer is coordinated within the greater project. The construction of a complete building.
Take time to think about how traditional art created by man is being used within the larger picture. Instead of simply selling AI generated art take a look at how the generation of art can be used to replace teams of people within an organization. Additionally, how can art be introduced to improve an existing service or product?
Want a free guide to nail product-market fit so that you can launch your own AI software in just 8 weeks? Head over to my LinkedIn and grab a free copy
All the best,
-Adrian