Designing for when the model is wrong
Most AI product thinking optimises the average case. The experience is decided by the tail — the moments the model is confidently wrong — and that is a design problem, not a modelling one.
Writing
Notes and essays I return to — on building AI products, keeping engineering legible, and the discipline of design. Written to think, not to publish on a schedule.
01 — In focus
02 — The archive