About Jev AI Use Cases

Jev AI Use Cases is a directory of tasks suited to a fast, typed-decision classifier. A classifier returns a bounded answer: yes/no, a choice from a fixed list, or a score on a small scale. This can be cheaper and easier to validate than asking a chatbot to write free text.

The directory comes from the Jev Use Case Atlas. Grades reflect decision fit, repeat frequency, value, and evidence. S is the strongest fit; A is a clean, useful decision; B and C have narrower payoff; X is not a typed-decision task; ? needs more context.

Created by Clark Mackey. Learn more about Jev from TypeSafe.

Grade definitions

Grade S
Top tier. Meets A, and the payoff is major with high confidence.
Grade A
A clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.
Grade B
A clean typed decision with either high volume or major value.
Grade C
A clean typed decision with low volume or low value, or too vague to act on.
Grade X
Not a typed-decision job: needs written output, plain rules or lookups would do it, or needs raw image or audio. Also marks ideas that must not be built.
Grade ?
Could not be graded.