How I go from a technical question I cannot answer to an explanation I can reconstruct without the model.

The search engine for doing, with apps built the moment you ask.

UX teams should report business outcomes to show impact on revenue, cost, risk, speed, retention, and to secure resources.

Interpretability research on Claude’s internal thoughts.

15 questions. Two axes. Which of 30 AI archetypes are you?

Inside — a survey of 309 researchers and leaders shows why insights struggle to shape decisions and how modern teams are closing that gap.

7,000+ web developers share how they use AI.

43 interactive field cards covering nudges, biases, heuristics, and AI phenomena. A practical reference.

Run moderated tests on high-fidelity prototypes. Capture gestures, logic paths, and goal-path scores without leaving ProtoPie.

How to build more predictable AI behaviors with agents.

Users know their day. They don’t know your roadmap. Why smart users give convincing wrong answers, and how to do research that opens product space.

How they use AI, what they dream it could make possible, and what they fear it might do.

Determining whether something is worth acting on.

People’s opinions about themselves and the things they use rarely match real behavior.

Parts of A are better, parts of B are better, and there’s probably a Version C that would beat them both.

How do we keep updating the parameters of a model without breaking it?

Research isn’t everything. Facts alone don’t win arguments, but powerful stories do.

Foils are fake (but plausible) options in screeners that catch inattentive or dishonest participants, protecting data quality and saving time.

A genAI-based model of a particular individual that can be used to predict both individual and population-level preferences and behaviors.

Global crowdsourced benchmark for design—a framework for evaluating AI design capabilities.