After today's post reached #1 on the Build Board, I wanted to show a little more of what we're actually building with Plavtora.
The core of Plavtora is Decision Sphere.
The idea is simple:
You give it a situation, problem, or decision.
Instead of simply asking an AI to “analyze this,” Decision Sphere looks at the problem through different analytical perspectives and turns those perspectives into a structured judgment.
Inputs → perspectives → analysis → judgment → decision
The important distinction for us is that the output isn't supposed to be “here are 1,000 words about your problem.”
It's supposed to help answer:
“Given what we know, what should I actually do?”
We've already built the system and are now putting it in front of people to find out where it genuinely helps and where the concept falls apart.
The landing-page system is currently one of the first applications we're testing with it, but the underlying system isn't limited to landing pages.
I'd rather get this wrong in public than build in isolation.
So if you had a decision you were genuinely struggling with right now, what would you want a system like this to help you decide?
And if you've tried Plavtora already, I'd especially like to know where the recommendation felt useful vs. where it felt like generic AI analysis.
The useful-vs-generic distinction seems important, but I’d push one level further: have users actually made or changed a real decision because of a Decision Sphere recommendation, or are you mostly measuring whether the reasoning feels better than a normal AI response?