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Interviews

Conversations with visionaries, experts, and founders driving change across AI, technology, and product design.

Zhengyang Yang seated by a large window in a calm interior for his DesignWhine interview on the end-to-end AI product designer.

The Distance Between Idea and Evidence: Zhengyang Yang on the End-to-End AI Product Designer

Brendan Jarvis discussing AI, synthetic users and the future of user interviews for DesignWhine Issue #20

The Interview Survives: Brendan Jarvis on What AI Still Cannot See

Amber Case

The Bicycle and the Algorithm: Amber Case on Why AI Has It Backwards

Interview with Steven Schkolne Moonchild AI

Inside Moonchild: How Steven Schkolne Thinks AI Will Rewrite the Design Process

AI for UX designers: An Interview with Ansh Mehra

How Ansh Mehra Is Boldly Rewriting the Designer’s Playbook in the Age of AI

Holly Alpine, Co-Founder of Enabled Emissions

She Walked Out on Microsoft’s Climate Lie. Exclusive Interview with Holly Alpine, Co-Founder of Enabled Emissions

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How We Rate

Tools Radar ratings are independent editorial assessments, not popularity scores.

Every reviewed tool is evaluated across four dimensions:

Capability Ease of Use Quality & Reliability Value for Money

The overall rating is the average of those four scores.

4.5–5.0 Exceptional

Outstanding, category-leading products with relatively few serious compromises.

4.0–4.4 Very Good

Strong products we can confidently recommend to the right audience, with identifiable trade-offs.

3.5–3.9 Good

Worthwhile products with genuine strengths, but weaknesses that meaningfully affect our recommendation.

3.0–3.4 Mixed

Capable in the right circumstances, but significant caveats make them difficult to recommend broadly.

2.5–2.9 Weak

Important shortcomings in capability, usability, reliability or value outweigh much of the product's appeal.

Below 2.5 Poor

Serious problems with the product's core proposition, execution or reliability make it difficult to recommend.

One important caveat

Tools Radar is curated. The products we review have already cleared an editorial threshold for relevance and credibility, so ratings may naturally skew toward the upper half of the scale.

Ratings reflect our assessment of the product at the time of review. A high score does not mean a tool is right for everyone, and a lower score does not mean it has no worthwhile use case.