An AI system generates two versions of the same tax code explanation: one technical for senior accountants, one simple for everyone else. It adjusts complexity and language based on who's listening while keeping the meaning accurate.
Chapters
was trying to understand some tax code, right? And they said, explain this to me as a senior accountant, and then explain this to me as a layperson. And the answers that came back were both excellent but totally different. Like, one is, you know, very detailed from a tax accountant standpoint. The other one's like, no, like Joe Blow, this is how you, you know, this is what it means for you, right? And that's so it can take context, it can take The level. And that's what's— because it's getting the meaning and it knows that there's ways of using different words back to you that have the similar meaning, but, you know, can be simpler or more complex depending on the nuance of the situation.