Today's AI models are a technical marvel. With enough expertise, you can steer them almost anywhere. But by default they have to serve many masters, and easy prompts give you bland results. Magnific is not build for "anyone." We serve creatives, and the default mode on these models is not what our users want. Months ago we started a project with these goals: 1) built on top of existing models. Leverage the existing AI models as the building block. Get better when models get better. 2) make the default generation by and for creatives. Easy to get great results. 3) trivial to stay on brand. A new model from scratch will be something that will become obsolete in weeks / months. Our approach enhances them for our users, making a useful contribution that is long-lasting and differentiated. After many false starts, we landed on a pre, post-processing, and routing layer on top of a few of today's state of the art models. We tested the model first with our employees, and later with external users, on two tests: best image for a given prompt, and best image overall (blinding the prompt). The first checks prompt adherence, the last checks image aesthetics. Magnific One came out first on both tests by a wide margin. You can use it exclusively on @magnific, test it yourself and tells us what you think.