Neurons

What Stevin gets out of Neurons

Neurons uses AI trained on neuroscience to predict where viewers look, what they remember, and what moves them, before an ad is even live. The strength is that it shifts a creative discussion from opinions to a measurement: does the CTA draw attention, does the brand stick. It is a prediction, not a guarantee, and that is exactly where teams get it wrong. Treat the score as the final verdict and you skip the real conversation about the message, when the point is to speed that conversation up. And a high attention score says nothing about whether the right message landed. Stevin connects Neurons to the creative process and checks the visual hierarchy before an ad goes out, so problems surface early instead of only in the campaign data. The output is an objective starting point for the conversation, not a replacement for it, and a person decides.

What you pair it with

Neurons gives you a predicted score on your creatives, but it is a model you feed with your designs, so the value depends on whether you use it early in the process and not just on the final version. It measures attention and memory, not whether the message is right, so your strategic judgment is still needed. On its own a score is a snapshot without context. In practice: use Neurons as a pre-launch check alongside your creative judgment and let a layer on top flag the problems, so expensive A/B tests after the fact become partly unnecessary instead of being the only way to validate.

Common mistakes

• →Taking the predicted score as the final verdict and skipping the conversation about the message.
• →Only testing on the final version, when there is barely any room left to adjust.
• →Assuming high attention means the right message got through.