The Best AI Answer May Begin With a Question
AI assistants often complete an underspecified task instead of exposing the missing choice. A one-question budget can reduce rework without turning every request into an interview.
One Broken Lift Can Close an Entire Journey
A station lift can be operational almost all year while still making many journeys impossible. Accessibility should be measured across complete routes, with alternatives ready.
A City Should Know What Its Buildings Are Made Of
What if buildings were a city’s future parts store? Material passports can expose reusable components—but only if timing, trust, labour and liability are designed too.
Synthetic Users Are Hypotheses, Not Participants
AI personas can widen a design team’s hypotheses, but fluent simulation is not lived evidence. Compare synthetic predictions with real observations before using them to decide.
Let Citizens Draft the First Version of the Law
AI can help citizens turn lived problems into testable public proposals. The challenge is preserving evidence, equal rights, contestation and democratic authority.
An AI Memory Should Come with an Expiry Date
Persistent AI memory saves repetition but can preserve stale assumptions. Build a Memory Boundary Card to govern purpose, source, correction and expiry.
The Help Desk Is a Sensor, Not a Cost Centre
Support demand is not merely overhead. Repeated calls, abandoned forms and unnecessary visits can reveal defects that transaction dashboards never see.
Do Not Make Human–AI Agreement the Goal
Human–AI agreement can hide anchoring or stubbornness. A better workflow preserves both provisional views, examines divergence and records why judgement changed.
Your Backup Needs a Second Reader
A backup can preserve every byte and still fail the person who needs it. A small recovery rehearsal reveals missing permissions, unreadable formats and knowledge trapped in one person's head.
From Reading to Doing: Alkemata’s Capsule Experiment
Alkemata proposes portable capsules that combine ideas, evidence and practical workflows, helping readers use their own LLMs to build projects and return experience to shared knowledge.