A courtesy layer gives a personal AI capability clear habits for representing its owner, protecting other people’s context, and knowing when a useful preparation must wait for a human voice. … readThe Courtesy Layer | App to Stack

A personal AI capability becomes genuinely useful only when its owner can inspect, change, and retire the parts that no longer deserve to shape their work. … readThe Revision Right | App to Stack

A capability receipt makes AI-assisted judgment inspectable without reducing a person to a finished output or demanding access to their entire private stack. … readThe Capability Receipt | App to Stack

The apprenticeship layer is the portable record of corrections and judgment that lets a person’s AI capability improve across roles without turning every hard-won lesson into an employer’s property. … readThe Apprenticeship Layer | App to Stack

The maintenance claim names the time, authority, and continuity a Stack Person needs to keep a personal AI capability trustworthy, instead of treating its upkeep as invisible work that happens after the real job. … readThe Maintenance Claim | App to Stack

A tempo boundary separates a stack that can prepare work at any hour from the human availability, authority, and response time that other people are entitled to expect. … readThe Tempo Boundary | App to Stack

The method dividend is the value a person earns when a practiced AI-enabled way of working improves the next job instead of disappearing inside the last one. … readThe Method Dividend | App to Stack

A delegation profile helps Stack People show the work they can direct, the judgments they must review, and the consequences they still own as personal capability becomes part of a career. … readThe Delegation Profile | App to Stack

As personal AI capability serves more than one legitimate relationship, a conflict map keeps the contexts, commitments, and refusals that must never travel together visible before trust is spent. … readThe Conflict Map | App to Stack