There's a default assumption baked into most AI products: that the right move is to simplify. Break it into steps. Reduce the variables. Make it manageable. The product handles the hard part so you don't have to.
We think that's the wrong call — not because simplicity is bad, but because the work that matters is rarely simple, and tools that can't hold complexity tend to just move it somewhere else. Usually into your head, or into a spreadsheet you have to maintain separately.
Obvious is built on a different premise. The people we built this for are already capable. They don't need AI to make their work simpler. They need it to hold the complexity alongside them — to remember the context, to work across data and narrative at the same time, to function as a real thinking partner rather than a sophisticated autocomplete.
“The people we built this for are already capable. They don't need AI to make their work simpler. They need it to hold the complexity alongside them.”
The name is intentional. The things that actually matter — the decisions with real stakes, the analyses that require judgment, the projects that touch multiple people and multiple systems — are exactly the kind of work that benefits from more thinking, not less.
Start overthinking. We built this for you.