All capability theses

A use case to evaluate

Choose a recorded response or silence

With Jev, an application can recommend a prerecorded reaction from the currently eligible cues.

A human example

A player notices a window while an optional waiting remark is queued.

What the caller supplies

The game supplies equally prioritized eligible recordings, the real trigger for each and recently completed speech.

What happens next

Jev recommends at most one cue or silence. The game rejects changed contexts and owns playback.

Illustrative integration example. The measured first-run choices are documented separately.

Potential value: medium

Could improve the timing and variety of authored reactions without generating new dialogue.

Evidence confidence: low

The optional game integration exists. Its first eight-case diagnostic chose silence throughout; a randomized listening comparison and positive-selection evidence are still missing.

The rating describes support for this claim. It is separate from Jev's returned probability. How we assign ratings.

Evidence, including disagreement

The next test

This protocol is planned. Its outcome is not yet known.

20 scripted playthrough paths plus human review, covering return visits, waiting, interruptions and scene changes.

Compare against

  • Current deterministic director
  • Optional Jev advice
  • Always silence for optional remarks

Measure

  • Repeated lines
  • Interruptions
  • Stale recommendations rejected
  • Player preference
  • Added delays

Decision after the test

Keep narration optional. Require no repeat or stale-playback regression and a clear preference in reviewed playthroughs.

The report will retain inputs, question versions, every attempt and failure examples. We will update the confidence rating after reviewing the result.

Use a related Engine recipe

Recipes are implementation starting points. Their presence does not mean the protocol above has passed.

Read or improve this thesis on GitHub.