How Do You Build Trust When Selling AI-Generated Content?

Yes. I find that if I use AI, it has to sound like me, what I would say, and how I would say it, for people to feel comfortable with it. Always be transparent, just a wee disclaimer saying you have used some AI tools to help you is usually enough. Let them always have control by giving them ample opportunities for feedback. Feedback can give you a heads up in advance as well, reducing mistakes. Time and how people package AI in a professional and open manner will inspire confidence eventually. But it's a long road to that.

I think the current problem with AI is that without a bit of human touch all AI writting seems similar - so posts from different people/companies may end up sounding the same. Since the idea is to automatise as much as possible I think this can be prevented if AI is able to fully absorb the tone, style, branding and mission of a specific company - so basically training the AI properly with the specific company insights before the first post is released.

Yes, good question !

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Hey, i too am working on same idea and I'm just starting out.. I thought about the same issue, but i am thinking the content it'll generate would not be coming totally from randomness, suppose a content creator want to create content on a certain topic, and we will take his view of that certain topic maybe a tweet of him, and with having all the knowledge base of his previous tweets, thoughts, videos that he has created and by also including his tone,voice etc. So this is not comming random, neither its something that's is different than him, it's just that we are taking creators overview,his insights on the topic and genrate output based on trained knowledge base.. by this way it is not difficult to get trust of user and there nothing which is loosing it's originality, essentially it's just ai layer topped on users insights..hope this helps..

In my experience, any AI good is all about editing. By this I mean: I think everybody got over the "I want AI to do everything for me so I can turn my brain off and do literally anything else," mentality quite quickly. Instead what people want is, "I want AI to do 97% of the work so when I apply my 3% of polish, I feel good about making something quality, personal to me but with 1/20th of the effort."

What most AI tools are failing at these days is providing documentation on what their human users can do after using the tool to make the output into something unique and spectacular.

After all, we're all human. I'm of the (potentially caustic) opinion that a 100% perfect good is less desired than a 98% perfect good - people crave being presented with something that can be improved upon, because in that way there's the opportunity to make it their own.

Reliable output -> When the output is not generic and has context of what you are looking for. LLMs are not trained to provide a context driven output, this needs a lot of due diligence by the users

It depends on the person, some people know what they want when they want their voice automated by ai , and for others you can explain the concepts for them and how it will work.

Personally, I think it's about the context of the AI.

Take those Peter Griffin comp sci videos.

No one cares that it's Peter griffin, as long as the topic is articulated well and it's factual (ie. explanations of a heap or stack)

I usually try to create it manually and let AI refine. And then get rid of 90% of the emoticons it added :)

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For content generation, would showing the 'why' behind outputs (like "This style matches your top-performing posts") help build similar confidence?