AI Insights & Implementation Tips

This is an important watershed moment. So let me explain what I've noticed from integrating AI into both my client's products, and now my own:

• AI struggles to understand subtle (often unspoken) context

• It struggles to rationalise or predict odd human behaviour (biases)

• Design isn't "codified"—there are very few "laws"

If you've ever tried one, you'll know that "instant UX audit" tools over-promise and under-deliver—in part that's because of these conceptual limitations.

But, AI is great at organising and synthesising huge amounts of data.

And that's the area in which I'm leaning into.

To do this, we've not only connected the entire published library of content, but created a hidden library of UX experiments and techniques that I've been logging from my 6+ years of consulting.

Built for Mars must be one of the most highly-contextualised databases of UX ideas out there. With multiple content types, all interwoven with product psychology.

And today we've dipped our toes in the water, with AI Insights and AI Implementation Tips, for every UX Bite.