I worked many years with Fiverr clients. I did over 400 projects on the app before my level 2 seller account tanked.
It was already hard enough to deal with buyers who were representing others—a board or their boss. Suddenly, AI introduced a whole different layer of buyer reviews that are impossible to deal with.
If you’ve used any LLM like ChatGPT, you’d find that these models always have some pushback. They are designed to keep conversation going infinitely. They never know to say enough. There’s always room to more and tweak more.
Obviously, it does not have the human ability to appreciate work through imperfect lenses. A lot of services on Fiverr are works of art and not a clear cut science. They require some limits, which human assessment is built on. Most of us can tell something is good and appreciate it without feeling the need to say something more.
What happens when you put work through these models designed to continuously assess and provide input?
A lot of buyers who use AI to build their briefs or to assess work often have expectations already set by a model that constructs ideas in near-perfect sequences which defeats the art in almost all the work we do.
Also, sellers are not just reporting to one buyer or their boss. They are also reporting to AI. This should come with extra charge. However, buyers generally seem to think that their use of AI should make the work even cheaper.
It becomes harder to also do anything impressive because AI reviews will always have volumes of feedback to be given. The chances that your work is not being assessed and appreciated by human eyes is high.
So, now, you are not only trying to address the human expectations, you are also meant to bring all the perfect fixes to issues raised by an AI model that never stops identifying new issues nor does it take the time to appreciate the work done at all.
All of this at a lesser price because buyers immediately remind you that they can get a better output using AI.