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Briefcase backup (export)

A dated, plain-text copy of your Foundation Instructions, your prompt library, and a manifest of your knowledge files, stored somewhere you control. Serves three purposes: portability (rebuild on another platform fast), a restore point (revert when an edit makes output worse), and protection against a platform changing or capping its free tier.

Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Practitioner: Workplace Foundations.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Certified AI Practitioner: Workplace Foundations

A dated, plain-text copy of your Foundation Instructions, your prompt library, and a manifest of your knowledge files, stored somewhere you control. Serves three purposes: portability (rebuild on another platform fast), a restore point (revert when an edit makes output worse), and protection against a platform changing or capping its free tier.

Certified AI Transformation Professional (CATP)

A dated, plain-text copy of your organization context block, your baseline scores and notes, and a manifest of your attached files, kept somewhere you control. Serves as portability hedge, restore point, and proof the briefcase is yours to keep.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Briefcase backup (export) starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Briefs a model like a good manager: context, constraints, examples, verification, and knows when to stop delegating.

One lesson on this page teach it as a primary outcome.

AI strategy and opportunity triageBusiness and Transformation

Decides where AI should be used, where it should not, and which use cases create measurable value, tied to the organization's priorities.

One lesson on this page teach it as a primary outcome.

Applied AI engineeringTechnical Evaluation

Builds production systems on foundation models: retrieval augmented generation, structured tool use, evaluation harnesses, guardrails, and cost and latency budgets.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“prompt engineering”“ai workflows”“automate with ai”“ai productivity”“ai strategy”“enterprise ai”

Where the frameworks place it: NIST AI RMF.

One interview question about it

Describe a workflow you redesigned around an AI tool. What did the prompt have to contain for the result to be reliable?

Asked of candidates for prompting and workflow design with ai. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.