Blazeway – A/B testing tool that builds a connected experiment history

You ran a headline test six months ago. It won. You shipped it. But why did it win? Would the same logic apply to your pricing page? You don't remember. You start guessing again.

This is the core problem with A/B testing for small teams. Each experiment gets evaluated on its own. The result gets shipped or discarded. The reasoning disappears. But insights compound across experiments. "Outcome-focused copy outperforms feature lists for cold traffic" is not something you learn from one test. You see it after five.

Blazeway runs the experiment and captures the reasoning in the same flow. Before a test starts, a short wizard walks you through what you observed, what you think is causing it, what you have planned to change and what counts as a win. While it runs, you see live visitor counts and statistical significance. When it ends, you write one sentence: what you learned.

No enterprise setup, no $200/mo plan. Five minutes to first experiment.

Do that ten times and you have a searchable record of why your product looks the way it does. One click hands your entire experiment history to the LLM of your choice, packaged with a pre-written prompt that already asks the right questions. Because every experiment is grounded in your own observations and hypotheses, the LLM reasons about your product, your users, and your specific assumptions. It can tell you why things worked, why they didn't, and what that means for what you should test next.

Cookieless, GDPR-compliant. Pro is free during beta. https://blazeway.app