Part of the Small Models series: This article explores one way to interact with the Convert MCP server. It’s an advanced use case for those who want to experiment with small, cost-efficient, and secure models and alternative tooling.
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is thoughtfully curated or crafted by a human, for a human. We spend hundreds of hours every month speaking to experts with decades of experience. Our blogs are more a journalistic report on the state of experimentation than a single perspective article. Enjoy!
This is team Convert’s take on what the shift means. Disclaimer: Convert Experiences is an A/B testing and 1:1 personalization platform that’s been in the experimentation space for 16 years. 5th May 2026, the Official Release Drops Amplitude’s Spencer Skates broke the internet with the declaration. Amplitude is entering into...
If you’ve run experiments before, you’ve probably encountered situations where an A/B test isn’t the right technique. Not because the hypothesis is wrong, but because the change you want to test is too big to build inside an editor. In cases like this, split URL testing can help. This guide...
The trade-offs, the hidden costs, and what really drives results in experimentation I’ve got the full bingo card over the last 11 years: I’ve worked agency-side, in-house, and freelance. No prize for the win, but it does mean I’ve seen the good, the bad, and everything in between. One thing...
AI is touching all corners of life, from travel to home DIY; it’s a source of support for new parents, busy entrepreneurs, and working professionals alike, and the question on everyone’s mind is… is AI a new reality or simply another cycle of industry hype? At Reflect Digital, we produce...
Interview with Simbar Dube There's the experimentation everyone talks about. And then there's how it actually happens. We’re hunting for signals in the noise to bring you conversations with people who live in the data. The ones who obsess over test design and know how to secure buy-in even when...
What is test duration? Test duration is the amount of time you run an A/B test from start to finish, from the moment traffic starts splitting to when you call a winner (or stop the test). Test duration is important in experimentation because it's the acid test of whether a...
