Robert TaFounder & CEO, Clarity · Building Hyper-Personalized Agents

We're trying something new and fun; testing AI products and giving our feedback of the user experien

21 Jul 2025 · 1 min

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In this short commentary, the speaker evaluates an AI product’s user experience, highlighting two main usability issues: the animation runs too quickly to be readable, and the information is presented using simple numeric markdown lists without bullet points, making the content harder to scan. The speaker then shifts to discussing the product’s personalized health recommendations, noting that the suggestions are directly tied to the user’s individual biomarker data (an n=1 use case) and that the explanations linking the data to health improvements are appreciated. Overall, the feedback balances criticism of the interface with praise for the personalized recommendation approach.

Chapters

The animation is very fast. There's no way I could have read this. And I see that they have like a simple markdown packaging for the information. You can see that like 1, 2, 3. It also looks like within the 1, 2, 3 they have chosen for numeric lists only and no bullets. Just make it a little hard to read. Let's start at the top. Based on your biomarker data, here are some key areas to focus on for improving your health. I'll explain each recommendation and its connection to your data. Well, first off, I like that it's explaining, hey, everything past this sentence tells you that we are trying to get your job done. Which is I wanted a recommendation around my n equals 1 use case my biomarker data. So I like that it did that.