How do we reduce the friction of adoption? So how do we make the platform way easier? How do we abstract away all this complexity around LLM selection, evaluation, prompt engineering, all the different data providers that have to get orchestrated?
“So you could you could start at the bottom and say, we're gonna build a training company.”
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Right? So you could you could start at the bottom and say, we're gonna build a training company. We're gonna train everybody on how to do all this shit. Right? Or you could say, hey. Look. Our sites are actually how do we reduce the friction of adoption? So how do we make the plat product, the platform way easier? How do we abstract away all this complexity around LLM selection, evaluation, prompt engineering, all the different data providers that have to get orchestrated and brought in to make these workflow? Right? We're talking about hundreds of them.
Why this clip
Identifies the core product strategy question for AI companies - reducing adoption friction. Lists specific technical complexities that need abstraction, making it actionable for builders.
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Paul Yacoubian
1 appearance · 2 clips
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