It has never been easier to build things. AI tools can spin up a landing page, generate copy variants or scaffold an entire product in minutes.
A new class of builder has emerged: product managers, marketers, and founders who can ship without writing a line of code.
The shift
The Validation Economy
But here is the problem. In a world where building is easy, the hard part becomes knowing what matters and building the right thing.
The build-measure-learn loop is fundamentally broken, and AI makes it worse. AI has turbocharged the build phase, which creates a new bottleneck, and most companies have not caught up.
We are entering what we call the Validation Economy: an era where the ability to quickly confirm what actually works is the most valuable resource.
Take healthcare as an example. While you can ask ChatGPT for medical advice, it does not have access to the full body of medical literature. That is where a platform like OpenEvidence comes in, trained on proprietary medical journals to support the kind of high-stakes decisions where accuracy matters most.
The gap
The Missing Piece: “Evals”
The way you make AI build the right thing is with an eval. You define what good looks like, decide how you will measure success, then systematically evaluate how close the output aligns with your standard. Engineers run evals to validate their code.
UX needs evals too. Every landing page, every onboarding flow, every pricing layout is a bet on what will move a customer to act.
LLMs generate output, but you need to validate whether that move will actually help or make things worse. Without that, you are shipping blind. But here is the problem: an eval is only as good as its source of truth.
LLMs do not learn from real results. They are trained by blog posts, reddit threads and opinions. In other words, they are just guessing.
The real source of truth is not what an LLM says, it is what actually wins in real tests online. That signal is locked inside the A/B tests companies run privately. This is where DoWhatWorks comes in.
What we are building
Where the industry is headed
The world needs a source of truth for UX. You should be able to validate ideas, copy, and designs as fast as you can build them. We are about to launch a new product that makes that possible.
We built the world’s largest database of A/B website test results over the last six years. Today, we have captured and tracked over a million data points from experiments run by the world’s most innovative companies. Our AI is trained on what works, what does not, and why.
- Run instant split tests to validate your ideas, designs, and copy
- Generate options based on what is proven to work, and iterate on them with you
- Test your experience versus competitors
We want to help you learn from what others got wrong, so you can get to better answers faster.