instead of a logo that is fixed or static ... why not propose a logo that constantly evolves based on continuous A/B testing being fed-back into your AI logo generation model?
You host the generated logo as a live API endpoint that renders the "current" version of the logo on demand
This endpoint takes some input parameters 1. to control which version of the logo gets returned & rendered and 2. to provide context to were the logo is being presented, and tags a unique requestID. After the fact, when user interaction/session is complete -- the KPIs about the success of that particular user session is recorded and matched with the logo requestID
Now on the logo serving side, the algorithm continuously introduces small randomized tweaks to the logo -- subtle changes in geometry / relative sizes and shapes / subtle changes in colors and gradients etc. and keeps track of what was served for which request ID
Over time -- you nudge the logo generation towards what seems to drive better customer engagement and outcomes. Survival of the fittest - automated.
Now that we have this idea in the space of logos -- the same could also be used in the marketing copy used on product pages -- where the text is generated through a GPT-like model and continuously evolves to make the impact better?
Same with web-layouts and CSS styles generated through code-GPT models?
How far back can we integrate this into the product/service stack -- instead of just the presentation layer?
Distant future:
You host a fully-automated tech-news website and hook it up to this "evolution" model where there are constant nudges towards what seems to engage audience better and convert into sales. You take a one-week vacation and come back to find out your site is now a rabid polarizing political disinformation generator and a p0rn generator for metaverse.
I am letting my fantasy run wild here ...
instead of a logo that is fixed or static ... why not propose a logo that constantly evolves based on continuous A/B testing being fed-back into your AI logo generation model?
You host the generated logo as a live API endpoint that renders the "current" version of the logo on demand
This endpoint takes some input parameters 1. to control which version of the logo gets returned & rendered and 2. to provide context to were the logo is being presented, and tags a unique requestID. After the fact, when user interaction/session is complete -- the KPIs about the success of that particular user session is recorded and matched with the logo requestID
Now on the logo serving side, the algorithm continuously introduces small randomized tweaks to the logo -- subtle changes in geometry / relative sizes and shapes / subtle changes in colors and gradients etc. and keeps track of what was served for which request ID
Over time -- you nudge the logo generation towards what seems to drive better customer engagement and outcomes. Survival of the fittest - automated.
Now that we have this idea in the space of logos -- the same could also be used in the marketing copy used on product pages -- where the text is generated through a GPT-like model and continuously evolves to make the impact better?
Same with web-layouts and CSS styles generated through code-GPT models?
How far back can we integrate this into the product/service stack -- instead of just the presentation layer?
Distant future:
You host a fully-automated tech-news website and hook it up to this "evolution" model where there are constant nudges towards what seems to engage audience better and convert into sales. You take a one-week vacation and come back to find out your site is now a rabid polarizing political disinformation generator and a p0rn generator for metaverse.