An archive of decisions, failures, changes, and shipped work. The record stays useful by keeping the sequence—and the limits—visible.
What a button inside an AI-generated answer can actually do, and how to distinguish a visual control from an authorized change to another system.
Imagine asking an AI assistant what to do with excess inventory. It returns a neat table: move twelve units from Store A to Store B. Below it is a button labelled Approve transfer .
Why locating an API endpoint is only the first step in assessing a code change across services, consumers, and contracts.
A LiveKit hotel voice-agent demonstration raises a practical question: when a caller changes the dates after a quote, what exactly are they agreeing to?
Synthetic UX participants can sharpen a research plan. Their plausible answers do not, by themselves, establish what real users did, felt or needed.
Claude Code mods make the runtime question concrete: who can alter an agent's prompt, tools, permissions or display after an extension has been admitted?
AI workshops can teach skills and produce prototypes. The harder question is how those skills become repeatable work after the event.
Why a second-pass verifier can inherit the explorer's framing, and when independent verification calls for shared evidence without shared reasoning history.