How do you beat the 80/20 paradox of AI?

AI will get you 80% of the way there, but then that last 20% ends up taking almost as long as if you'd just done it yourself in the first place? 

You might be surprised how many people start with a blank prompt box every single time. 

So what is that last 20%? It's the context layer, all of your references, preferences, and all the examples that really instruct the large language model on what you're looking to accomplish. 

Training a skill or building a project folder might take a little bit more time on the upfront, but it creates a lot more leverage on the backend.