This is an interesting interface for a sophisticated machine learning model. The user input is a moderately structured prompt (a line-delimited list of facts) and the output is text crafted for a particular medium (email). This could be extended to support output for other mediums, such as Blog posts or social media updates. It does drive me slightly crazy that this system JUST INJECTS NOISE. You provide it with conc…
I would love it if I could get recipients to actually devote cognitive work to my communications. Unfortunately, increasing cognitive load is a great way to ensure fewer people read what you write.
Every recipient of a message thinks differently than the writer. For communication to be effective, it must be designed for the recipients, to trigger the right sequence of ideas that will get the message across. I’ve written up the exact same content in 3 or more ways to target specific teams - bullet lists, email, slide deck, etc. It’s always worth my time. Before I did this, I would get several elaborate responses of “why didn’t you write this in X format”, arguing that X was a superior format. But everyone provided different versions of X. You may think conciseness is paramount; not only is it not, the definition of what is concise varies from person to person.