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Explore what participants are optimizing with PBX
Explore what your peers are building with PBX

Vinted Filters
Vinted Filters
by
Cristiana Petrilli
While searching for a black sweater on Vinted, I repeatedly got frustrated by the filtering experience. Each time I wanted to apply or adjust filters, I had to scroll all the way back up to find the filter button again. This was especially painful on mobile, where the results page is long and the filter action quickly disappears from view.
Adding personalized destination suggestions on Air France
Adding personalized destination suggestions on Air France
by
Léo Denis
Users are not always sure where they want to travel when visiting the Air France website. By suggesting destinations based on different travel contexts, this concept helps personalize the experience and guide users toward relevant travel ideas.
Reworking the Nike PDP to emphasize product & athlete trust
Reworking the Nike PDP to emphasize product & athlete trust
by
Clément Hornec
When browsing technical Nike shoes, users are often faced with dense product information and a strong focus on size selection early in the journey. This makes it harder to compare options and feel confident about their choice. This concept aims to clarify the PDP by reorganizing information, reducing the prominence of size selection, and highlighting key performance features alongside trusted athlete insights to support better decision-making.
Users love Prompt-Based Experimentation
“Such an amazing tool”

Providence
“Massive time saver”

VeryChic
“Working with it is great!”

Cona
FAQ
You can ask PBX to generate optimization ideas for you, then choose and implement the ones you prefer or request new suggestions. The more specific you are about your goals, the better the ideas PBX will generate.
Just like vibe coding lets you create web prototypes instantly by chatting with AI, PBX lets you create new and optimized web product on your existing websites. You get to test what you've created on real users on your actual website. The act of building variants and testing them by chatting with AI is called vibe experimentation.
Every time your prompt, one credit is consumed. Your free trial includes enough credits to explore all key features. If you have a promo code for more credits, you can enter it under the Organization page on your account. On average, our users builds an experiment by using 3 credits. contact@kameleoon.com for any questions!
Prompt-Based Experimentation (PBX) is Kameleoon’s approach to vibe experimentation; a new way to ideate, configure, and launch experiments. With PBX, you simply describe the web changes you want to test in natural language. AI then generates a variation and launches the experiment, without code or WYSIWYG editors.
Yes! Kameleoon's integrations allow you to personalize and target prompt-based experiments using data from your customer data platform or preferred data warehouse. For example, you can connect Kameleoon to your CDP to create segments based on customer subscription level.
Not yet. Because it relies on rapidly improving GenAI models, prompt-based testing will continue to evolve and expand in capability every day. It’s a new way to interact with an experimentation platform.
Yes, but only when used with proper guardrails. You still need valid KPIs, correct traffic splits, targeting, and robust statistical methods to draw meaningful conclusions.
It heavily reduces the need for developer involvement in each test, but developers should remain essential collaborators for quality, scale, and integration across teams.
No. PBX helps you create test-ready experiment versions by chatting with AI, but it’s not a replacement for your design or CMS tools. You can still upload a mockup to improve output quality, and a Figma integration is planned for later in Q1 2026.
No. It focuses on frontend digital experiences that optimize UI/UX and messaging. It compliments—but does not replace—feature flagging, server-side testing, or mobile app experimentation.
No. Prompt-based testing turns a prompt into a testable digital experience. “Testing prompts” means refining the prompts themselves, which is usually done with backend or server-side experimentation.
No. Prompt-based experimentation leapfrogs visual editors entirely. It uses natural language to build, configure, and analyze experiments, making frontend testing more powerful and accessible than ever.


