Use prompt moves that transfer

First, orient the model with the real audience and decision. Second, ground it in supplied sources. Third, constrain scope, format, and forbidden actions. Fourth, inspect by asking for assumptions, unsupported claims, or tests. Applied to this topic, those moves support produce a clear, consented thirty-second course welcome in synthetic speech, not vague content generation.

Read this 50-word course welcome in a warm, clear fictional voice at about 135 wpm. Do not imitate any known person. Pause after sentence one; emphasize “try one thing.” Use the approved pronunciation guide for Nguyen. Generate a ten-second sample first and retain a transcript.

The likely useful output is: A short sample whose pace, emphasis, pronunciation, and disclosure can be reviewed before rendering the full message. Follow with a critic pass, not a request to “improve it”:

Audit the draft against the original contract. Return a table:
criterion | pass/fail | exact evidence | smallest correction.
Do not introduce new facts. List unresolved questions separately.

This second prompt changes the mode from creation to inspection. For alternatives, request deliberately different options and specify the axis of difference. For revision, name one defect and freeze everything else. For extraction, require a schema and define unknown/null behavior. For decisions, ask for criteria, evidence, assumptions, and sensitivity—not hidden private reasoning.

A useful response would look like this: A short sample whose pace, emphasis, pronunciation, and disclosure can be reviewed before rendering the full message. That description is intentionally observable. “Looks good” is not acceptance. The operator must listen without reading, compare every word to the script, check names, clipped endings, breaths, volume, pace, phone-speaker intelligibility, and transcript accuracy. Keep the source material beside the draft so review means comparison, not memory.

Do not confuse fluent explanations with evidence. A technically convincing voice can still be unethical or deceptive. Permission must cover the intended use, duration, audience, storage, and revocation path. The prompt is successful only when the resulting artifact survives an external check.

Watch for celebrity imitation; ambiguous consent; pronunciation drift; robotic pacing; artifact breaths; missing disclosure; audio-only delivery without transcript. If the answer is too broad, shrink the deliverable. If it invents, tighten “use only” boundaries and require source labels. If formatting drifts, provide a short valid example and validate mechanically. If every option sounds alike, define meaningful axes. If revision damages good sections, quote the exact passage to preserve.

Keep prompt versions with short notes: what changed, why, and what happened. That creates transferable knowledge. Copying a “perfect prompt” without its data, risk level, and reviewer rarely does.