WellSaid Labs Prompts

Produce the voiceover for my [LENGTH]-minute corporate training module on [TOPIC] in WellSaid Studio. Use the voice avatar [VOICE_NAME] ([ACCENT/STYLE]) at a steady instructional pace, and add slight pauses after each learning objective so viewers can absorb the point. Apply Smart Suggestions to fix pronunciation of [ACRONYM_1], [ACRONYM_2], and the product name [PRODUCT_NAME]. Export at full 96 kHz quality for a broadcast-clean e-learning track.

Direct a dramatic reading of this script line in WellSaid using AI Director controls: '[SCRIPT_LINE]'. Raise the pitch on the word [WORD_1] by [AMOUNT], slow the pace through [PHRASE], and increase loudness on [WORD_2] for emphasis. The delivery should feel [EMOTION] and match the style of a [REFERENCE, e.g. movie trailer]. Preview the line [NUMBER] times, adjusting one control at a time, until the performance matches your direction notes.

Build a dialogue scene in one WellSaid Studio script using [NUMBER] different voice avatars: [VOICE_1] as [CHARACTER_1] ([ROLE]), [VOICE_2] as [CHARACTER_2] ([ROLE]). Write the exchange about [SCENARIO] in [LANGUAGE], keeping each line under [WORDS] words for natural pacing. Alternate voices line by line, add a half-second pause between speakers, and preview the full scene before downloading so the conversation flows like real people talking.

Create a shared pronunciation guide in WellSaid Studio for my team covering [NUMBER] terms: [TERM_1], [TERM_2], [TERM_3], and [BRAND_NAME]. For each term, enter the phonetic respelling (e.g. [TERM_1] as [PHONETIC]) and test it with [NUMBER] sample sentences. Share the guide across the workspace so every project on [PROJECT_TYPE] pronounces our terminology identically. Document each entry with the correct context note for future teammates.

Plan the integration of WellSaid TTS into my [APP_TYPE] using the REST API with X-Api-Key authentication. Requirements: convert user text up to [CHARS] characters per request into the voice avatar [VOICE_NAME], return MP3 audio, and cache repeated phrases to save downloads. Map out the request flow for [USE_CASE], define error handling for quota limits on the [PLAN_NAME] plan, and specify how the app falls back to [FALLBACK_VOICE] when the primary voice is unavailable.

Produce a [DURATION]-second ad voiceover in WellSaid for [PRODUCT_NAME] targeting [AUDIENCE]. Script: '[SCRIPT]'. Use the [VOICE_NAME] avatar with a confident, [EMOTION] delivery, and use AI Director to punch the offer line '[OFFER_LINE]' with extra loudness. The read must land the brand name [BRAND_NAME] crisply at the [TIMESTAMP] mark. Export the final at 96 kHz and deliver [NUMBER] alternate takes for the media buyer.

Generate an emotionally expressive narration in WellSaid using the Caruso model (English) for this passage: '[PASSAGE]'. The scene requires [EMOTION_1] shifting to [EMOTION_2] at the sentence '[PIVOT_SENTENCE]'. Use word-level pitch and tempo controls to shape the emotional arc, and add Smart Suggestion respellings for [DIFFICULT_WORD]. Preview in [NUMBER]-sentence chunks, because long emotional passages drift if generated in one pass.

Set up a WellSaid Studio workflow for patient-facing audio at [ORGANIZATION], a [HEALTHCARE_SETTING]. Requirements: HIPAA-compliant handling of all scripts, SSO login for the [NUMBER]-person content team, Workspaces separating [DEPARTMENT_1] and [DEPARTMENT_2] projects, and audit-friendly controls on every download. Choose the voice avatar [VOICE_NAME] for a calm, clear bedside tone, and document the approval step before any audio reaches patients.

Design a WellSaid Studio collaboration workflow for my [TEAM_SIZE]-person team producing [CONTENT_TYPE]. Create a Workspace named [WORKSPACE_NAME], assign the Collaborator role to [ROLE_1] and Billing Admin to [ROLE_2], and share a pronunciation library for [DOMAIN] terminology. Define the review loop: draft in Studio, [REVIEWER_ROLE] approves, then download at [QUALITY]. Set naming conventions so projects sort by [SORT_KEY] in the dashboard.

Convert my [GENRE] book chapter '[CHAPTER_TITLE]' ([WORD_COUNT] words) into audiobook audio using WellSaid. Use [VOICE_NAME] for narration and [VOICE_2] for dialogue, split the chapter into [NUMBER] sections of roughly [WORDS_PER_SECTION] words, and keep character voices consistent across sections by reusing the same avatars. Apply AI Director pacing: slower for descriptive passages, faster for action scenes. Assemble the sections in [AUDIO_EDITOR] with chapter markers.