Headlyne — AI News App

Headlyne is an AI news product, which meant the core design challenge was trust rather than features. People are rightly skeptical of machine-summarized news, so the interface had to make the model's work legible: where a summary came from, how to get back to the source, and how to keep a sense of control over what the AI surfaces. The design treats those signals as first-class, not as fine print.

Beyond trust, the product had to feel fast and calm in a category that usually feels noisy. The reading experience was designed around clarity and pace, with a structure that lets people skim, dive, or follow a thread without friction.

AI products also have to handle their own fallibility gracefully, so the design accounts for the realities of working with a model: loading and streaming states, moments of uncertainty, and the occasional miss, all handled in ways that keep the user oriented rather than surprised. Because the interface was designed around how the product actually behaves rather than an idealized demo, the result is an AI news app that feels credible and considered, which is exactly what earns trust in a skeptical category. The wider lesson carries to any AI product: the model is only half the work, and the interface around it is what decides whether people are willing to rely on what it produces.