The best Veo 3 prompts do a job no other AI video prompt has to do: they describe a shot AND a soundscape in the same paragraph. Google's model generates dialogue, ambient noise, and music natively in one forward pass, so a Veo 3 prompt that skips the audio line ships silent video (or lazy default ambience). This library is 30+ tested veo prompts organised into six categories, each written with explicit sound cues so the audio track that comes back out matches the shot you asked for.
Every prompt uses [BRACKETS] for the parts you swap (subject name, product, dialogue line) and a fixed skeleton for camera, lighting, and audio direction. If you have not picked a model yet, the Sora migration playbook walks through why Veo 3 is one of the two obvious successor picks, and the twelve-model field comparison sorts the rest of the category by axis. If you already know you want Veo 3 and want a finished narrated MP4 rather than a raw clip, the MakeAIVideo prompt-to-video route is the pipeline this library plugs into.
Veo 3's audio track only obeys prompts that explicitly ask for it. If you write a beautiful visual scene and leave the sound cue empty, the model will pick something generic. Every template below has a
[SOUND:]or[AUDIO:]line for exactly this reason.
What makes a strong Veo 3 prompt
The public Google DeepMind Veo model page is explicit about it: Veo 3 generates "sound effects, ambient noise, and even dialogue" natively, aligned to the visuals in one pass. Google's own Veo 3 announcement on the company blog foregrounds the same audio-in-one-pass capability. That is the axis every other prompt guide skips.
Sora, Kling, Runway, Pika, Luma. All of them hand you a silent clip and expect you to bolt sound on afterwards. Veo 3 doesn't, and our full Veo 3 review covers how reliably that holds up across a real batch. Which means a strong Veo 3 prompt has six ingredients, not five: subject, action, camera, lighting, style, and sound.
The sound ingredient is not a footnote. It is the reason to choose Veo 3 over its rivals in the first place. A prompt with no audio direction still generates audio; it is just audio the model guessed at, which is why so many first-time Veo clips have a vaguely awkward wind track or the wrong kind of room tone. The templates in this library treat the audio cue as a first-class field alongside the shot description, which is the same discipline any AI video script guide recommends for the visual side.
A strong Veo 3 prompt is also short. The model reads long prose worse than short structured cues. Two lines of shot direction plus one line of audio direction plus one line of dialogue beats three paragraphs of atmospheric writing. If you find yourself writing a fourth sentence, split the shot into two Veo generations and stitch in post.
Veo 3 prompt anatomy
Six fields. Fill each with one clause, in this order. Do not skip any of them.
Subject
The person, product, animal, or object at the centre of the shot. Include one distinguishing visual detail (age, outfit colour, material) so the model does not default to stock imagery. "A woman" produces stock; "a woman in her early thirties wearing a navy overshirt" produces a scene.
Action
The primary motion happening in the eight-second window. Verbs, not adjectives. "Pours coffee into a ceramic mug" beats "coffee is being poured." Veo 3 handles clean single-action clips better than multi-beat sequences; save cuts for the edit.
Camera
Shot type, lens implication, and any movement. Pick one. "Medium close-up, slight handheld drift" is a specific instruction; "cinematic angles" is not. Veo 3 respects the camera vocabulary that would work on a live-action call sheet: dolly, push, pull, tilt, whip, static.
Lighting
Pick one lighting family and stick to it across a set of related prompts. "Warm golden hour side light" or "cool overcast north-facing window light" both work. Combining lighting words in one prompt ("moody cinematic bright warm") pulls the render in four directions.
Style
The overall visual register: documentary, editorial fashion, photorealistic product, animated, painterly, film grain. One phrase. This is the field that decides whether the shot reads as an ad, a documentary, or a music video.
Sound cue
Two sub-lines. First: the ambient soundscape (traffic, rain, cafe murmur, silence, room tone). Second: dialogue or explicit music direction if you want any. Veo 3 handles both. Keep dialogue short. An eight-second clip only fits about 20 spoken words at natural pace. Use the speech time calculator on any line you write before you generate; nothing kills a Veo render like a dialogue block the audio track cannot fit.
Never mix visual style descriptors between shot and sound. The visual style ("photorealistic", "cel-shaded") belongs in Style; the audio style ("orchestral score", "lo-fi hip-hop") belongs in Sound. Cross-mixing produces renders where the shot looks like one film and the score is scoring a different one.
The 30+ Veo 3 prompt library
Six categories, five prompts each. Every prompt is one blockquoted line you paste, swap the bracketed placeholders, and generate. Every prompt has an explicit audio cue because that is the entire point of using Veo 3 rather than a silent-clip model. If you want to run the same audio-aware discipline across finished multi-clip videos, the prompt engineering guide is where the same skeletons scale to a scripted assembly.
Product ads with dialog (5 prompts)
The workhorse category for Veo 3 because the native dialogue track means no separate voiceover render, no lip-sync correction, no ADR. Each of the five prompts below varies the reader (skeptical, warm, punchy, testimonial, comparison) to keep an ad set from feeling like one voice pitching five products.
"Subject: a woman in her early thirties wearing a soft grey knit, seated in a bright kitchen with morning light. Action: holds [PRODUCT_NAME] up to the camera at chest height, then sets it down. Camera: medium close-up, static on a tripod. Lighting: warm natural window light from screen-left. Style: photorealistic lifestyle. [AUDIO: gentle kitchen ambience, kettle beginning to boil in background]. [DIALOG: warm, conversational, mid-30s female voice: 'I tried [PRODUCT_NAME] for a week. Here is the honest verdict.']"
"Subject: a man in his early forties wearing a plain white tee, standing at a wooden workbench. Action: turns [PRODUCT_NAME] over in his hands, studying it. Camera: medium shot, slight handheld drift. Lighting: cool overcast light from an unseen window. Style: documentary photoreal. [AUDIO: soft workshop room tone, faint radio in the far distance]. [DIALOG: skeptical, low-key baritone: 'Everyone said [PRODUCT_NAME] would change how I work. I was not convinced. [ONE_SPECIFIC_OBSERVATION].']"
"Subject: a young woman in a linen shirt seated on a linen sofa, [PRODUCT_A] on the left cushion and [PRODUCT_B] on the right. Action: gestures between the two, then leans forward. Camera: medium shot, static. Lighting: soft afternoon side light. Style: editorial lifestyle. [AUDIO: quiet living room, distant birdsong]. [DIALOG: bright, considered: 'Compared [PRODUCT_A] with [PRODUCT_B] over a full month. Here is what actually mattered.']"
"Subject: a barista in her mid-twenties wearing a black apron, working behind a cafe counter. Action: places [PRODUCT_NAME] on the counter and slides it toward the camera. Camera: medium over-the-counter shot, slight push-in. Lighting: warm cafe pendant light. Style: photoreal, shallow depth of field. [AUDIO: espresso machine hiss, cafe chatter, milk steaming]. [DIALOG: brisk, friendly: 'Made [PRODUCT_NAME] for you the way I make my own. Try it.']"
"Subject: a man in a smart-casual navy overshirt seated at a desk with a laptop closed beside him and [PRODUCT_NAME] in front. Action: taps [PRODUCT_NAME], leans back, then addresses camera directly. Camera: medium close-up, static. Lighting: warm even indoor lamp. Style: photoreal testimonial. [AUDIO: soft home office ambience]. [DIALOG: measured, deliberate mid-30s male voice: 'I do not usually do these. I made an exception for [PRODUCT_NAME] because [ONE_SPECIFIC_REASON].']"
Ambient B-roll with soundscape (5 prompts)
For establishing shots, filler between narrated beats, and any moment where the audio does more storytelling than the picture. Veo 3's ambient audio generation is strong enough that most of these clips can run under a voiceover with no additional sound design.
"Subject: an empty coffee cup with steam still rising, on a wooden window ledge. Action: steam curls slowly upward, faint reflection of moving traffic in the ceramic. Camera: tight macro, static. Lighting: soft grey overcast window light. Style: photoreal, shallow depth of field. [AUDIO: light rain against glass, distant car tyres on wet road, no dialogue]."
"Subject: a slow-moving city crosswalk at dusk with commuters walking in both directions. Action: crowd flows through frame, one figure pauses mid-walk. Camera: wide static shot at low angle. Lighting: cool blue evening with warm streetlight spill. Style: documentary. [AUDIO: layered footsteps, distant car horns, wind, no dialogue]."
"Subject: a bowl of ingredients on a butcher-block kitchen counter, a hand entering frame from the right. Action: hand picks up a wooden spoon and stirs slowly. Camera: overhead top-down, static. Lighting: warm kitchen daylight. Style: photoreal food editorial. [AUDIO: wooden spoon against ceramic, soft kitchen hum, no music, no dialogue]."
"Subject: a mountain ridge silhouetted against a pre-dawn sky, one small tent glowing on a flat clearing. Action: sky begins to lighten from indigo to peach behind the ridge. Camera: wide static long-lens shot. Lighting: natural dawn transition. Style: cinematic photoreal. [AUDIO: distant wind, faint tent fabric rustle, morning bird call, no dialogue]."
"Subject: rain-streaked bus window at night with reflections of neon shopfronts. Action: droplets track slowly downward as the bus moves. Camera: tight shot on the window, slight handheld drift. Lighting: mixed neon reflections. Style: photoreal, slight film grain. [AUDIO: bus engine hum, rain on glass, indistinct passenger murmur, no dialogue]."
Cinematic scenes with music cues (5 prompts)
For creative work where the score needs to lead the picture. Veo 3 will generate an instrumental bed if you describe it. Keep the description musical (instruments, tempo, mood) rather than referential ("sounds like Hans Zimmer") because the model has no idea who that is.
"Subject: a lone figure in a long grey coat walking down an empty pier at dusk. Action: figure stops at the end of the pier, looks out to sea. Camera: wide tracking shot from behind, slow dolly forward. Lighting: cold blue-grey light of last daylight. Style: cinematic photoreal, slight anamorphic feel. [AUDIO: solo piano playing a slow melancholic minor-key melody, distant gull call, waves against pier]."
"Subject: a vintage red sports car speeding through a Tuscan hilltown lane at golden hour. Action: car banks around a corner, motion blur on the buildings. Camera: low tracking shot from side, then whip pan to follow. Lighting: warm golden hour side light. Style: cinematic. [AUDIO: engine growl, tyres on cobbles, upbeat brass-heavy orchestral score with driving snare]."
"Subject: a woman in a red silk dress walking alone across a rain-slicked plaza at night. Action: walks slowly toward the camera through mist. Camera: wide slow push-in. Lighting: cold overhead street lamps with warm shop-window spill. Style: cinematic photoreal, moody. [AUDIO: distant thunder, a single haunting cello line, footsteps on wet stone]."
"Subject: two silhouettes standing at the edge of a cliff overlooking a valley at sunrise. Action: they stand still, wind moves their coats. Camera: wide static shot from behind. Lighting: warm orange rim from the rising sun. Style: cinematic. [AUDIO: soft ambient synth pad building slowly, distant valley wind, no dialogue]."
"Subject: a child running through a wheat field at sunset, arms outstretched. Action: child weaves through the wheat, backlit by low sun. Camera: low tracking shot alongside. Lighting: golden hour backlight. Style: cinematic photoreal. [AUDIO: uplifting piano-and-string swell in a major key, warm tempo, faint wheat rustle]."
Explainer and narration prompts (5 prompts)
For educational content, product explainers, and any format that wants a voice-over reading over a clean visual. Veo 3 can render the narrator on-screen or leave the visual clean and generate a disembodied voice-over track. Both work.
"Subject: a clean white desk with [PRODUCT_NAME] centred, a hand entering from the right. Action: hand picks up [PRODUCT_NAME] and shows the top face, then the side. Camera: overhead top-down, static. Lighting: bright even studio light. Style: minimalist product explainer. [AUDIO: no ambient sound, no music]. [DIALOG: crisp explainer voice-over, mid-30s neutral accent: 'Here is how [PRODUCT_NAME] actually works. Three parts. [PART_ONE].']"
"Subject: a hand-drawn diagram on a whiteboard being drawn in real time by an unseen marker. Action: arrow, three labels, a circle appear in sequence. Camera: medium shot of the whiteboard, static. Lighting: even overhead office light. Style: whiteboard-explainer photoreal. [AUDIO: soft marker squeak, no music]. [DIALOG: clear teacher voice-over: 'There are three things you have to get right with [TOPIC]. This one is first because [REASON].']"
"Subject: a woman in her late twenties in a plain black turtleneck standing in a bright neutral studio space. Action: speaks directly to camera, gestures with one hand. Camera: medium shot, static. Lighting: soft key light with fill. Style: talking-head explainer photoreal. [AUDIO: no ambient sound]. [DIALOG: warm confident female voice: 'The reason [TOPIC] confuses most people is [SPECIFIC_MISCONCEPTION]. Let me show you what actually happens.']"
"Subject: a rotating 3D render of [PRODUCT_NAME] on a soft grey backdrop. Action: product rotates 360 degrees, camera stays static. Camera: static medium shot. Lighting: soft studio wraparound light. Style: clean product render. [AUDIO: no ambient sound, no music]. [DIALOG: precise product voice-over: '[PRODUCT_NAME] is [ONE_LINE_DEFINITION]. It solves [SPECIFIC_PROBLEM] for [SPECIFIC_USER].']"
"Subject: a laptop screen viewed over the shoulder of a seated user, cursor moving across a clean UI. Action: cursor clicks through three menu items in sequence. Camera: over-the-shoulder medium, static. Lighting: warm indoor light with laptop glow on face. Style: screen-explainer photoreal. [AUDIO: soft keyboard tap, mouse click]. [DIALOG: friendly software voice-over: 'The fastest path through [WORKFLOW] is these three clicks. First, [STEP_ONE].']"
Character-driven scenes with dialog (5 prompts)
For skits, POV shorts, and scripted dialogue moments. Veo 3's lip-sync is the reason to use it for these; it beats the audio-on-top approach that any of the silent-clip models require. Keep dialogue lines short so the eight-second window fits them.
"Subject: a barista in her mid-twenties leaning on a cafe counter, camera framed as the customer. Action: she looks up, smiles, leans forward slightly. Camera: POV medium close-up, static. Lighting: warm cafe pendant. Style: photoreal POV. [AUDIO: espresso machine, background chatter]. [DIALOG: bright friendly voice: 'Usual today, or feeling brave?']"
"Subject: an older man in a bookshop wearing a tweed jacket, camera framed as the shopper. Action: he pulls a specific book from the shelf, holds it out. Camera: POV medium shot. Lighting: warm library light. Style: photoreal POV. [AUDIO: soft page rustle, distant footsteps]. [DIALOG: measured baritone: 'This is the one you actually want. Everyone starts with the wrong one.']"
"Subject: a woman in her early thirties at a train station platform, wearing a long coat, camera framed as the friend she is meeting. Action: she spots the camera, breaks into a run, stops just before contact. Camera: POV medium shot, slight sway. Lighting: cold overcast station light. Style: photoreal POV. [AUDIO: train station ambience, distant announcement]. [DIALOG: breathless, warm: 'I did not think you would actually come.']"
"Subject: a chef in a white jacket at a professional kitchen pass, camera framed as the diner. Action: he places a plate down, gestures at it, waits. Camera: POV medium close-up. Lighting: warm kitchen light. Style: photoreal POV. [AUDIO: kitchen clatter, gentle stovetop hiss]. [DIALOG: proud, direct: 'This is what we do here. Tell me what you think.']"
"Subject: a young father crouched in a garden, camera framed low as the child. Action: he holds out a small plant in a pot, smiles gently. Camera: POV low-angle medium shot. Lighting: warm afternoon garden light. Style: photoreal POV. [AUDIO: garden birdsong, distant lawnmower]. [DIALOG: soft, patient: 'This one is yours. Keep it alive and I will teach you the next thing.']"
Music video and creative (5 prompts)
For creative bump loops, mood pieces, and any clip where the audio is the point. These push the sound cue further than any of the earlier categories. The visual is a support to the score, not the other way around.
"Subject: a dancer in a black leotard against a plain white cyclorama. Action: fluid contemporary sequence, three moves in eight seconds. Camera: wide static shot. Lighting: single hard key from the side. Style: high-contrast studio. [AUDIO: sparse electronic score with a slow four-on-the-floor pulse and a rising synth pad, no dialogue]."
"Subject: a lone drummer at a full kit in a smoke-filled empty venue. Action: builds from a soft snare roll to a full four-limb pattern. Camera: slow orbit around the kit. Lighting: single overhead spotlight, blue haze. Style: concert-film photoreal. [AUDIO: solo drum kit playing a building rock groove, faint stage hum, no dialogue]."
"Subject: a violinist standing at the edge of a rooftop at sunset, playing. Action: bow moves across the strings, wind lifts the player's coat. Camera: slow dolly forward. Lighting: warm golden hour side light. Style: cinematic music video. [AUDIO: solo violin playing a lyrical minor-key melody, faint city ambience below]."
"Subject: an animated line drawing of a running figure that redraws itself each frame against a plain paper background. Action: figure runs left to right, morphing between poses. Camera: static wide shot. Lighting: flat even. Style: hand-drawn animation photoreal texture. [AUDIO: upbeat indie-folk track with acoustic guitar and hand claps, no dialogue]."
"Subject: a stylised close-up of raindrops falling into a shallow pool of ink. Action: droplets land at intervals, ink pattern spreads. Camera: extreme macro static shot. Lighting: soft overhead diffused. Style: abstract photoreal. [AUDIO: ambient piano and pad soundscape, faint water drop sounds, no dialogue]."
Common Veo 3 prompt mistakes
Five patterns that produce Veo 3 clips you cannot use.
1. Skipping the audio cue entirely. Every silent clip that comes back from Veo 3 with disappointing default ambience is a clip whose prompt had no [AUDIO:] line. The model does not skip audio generation, so it generates something; if you did not tell it what to generate, you get a guess. Fix: never ship a Veo 3 prompt without an explicit ambient soundscape line, even if the line is [AUDIO: silence].
2. Writing four-sentence prose paragraphs. Veo 3 reads structured cue-based prompts more reliably than atmospheric writing. A three-paragraph film-treatment prompt is not "richer" than a six-line structured prompt; it is just harder for the model to obey. Fix: keep every prompt at one line per field, six fields.
3. Mixing camera moves in one prompt. "Slow dolly then whip pan then close-up" produces one confused generation, not three shots. Veo 3 is an eight-second single-shot tool. Fix: pick one camera direction per prompt. If you need coverage, generate three prompts and cut them together in an editing pipeline. If you already start from stills, add a reference frame as your first pass and let Veo animate from there.
4. Writing dialogue that overruns the clip. An eight-second Veo clip fits about 20 spoken words at natural pace. Sixty words of dialogue gets rushed to the point of comedy or truncated mid-sentence. Fix: trim every [DIALOG:] line to 20 words or fewer before you generate.
5. Describing music by artist or track name. "In the style of Hans Zimmer" or "sounds like the Interstellar score" gives Veo 3 nothing to work with. The model responds to instrument, tempo, and mood descriptors. Fix: describe the audio the way a sound engineer would. Instruments, tempo, key, mood. The same discipline applies across a full prompt library, which is why our prompt-library playbook treats every audio cue as a set of structured fields, never as a genre label.
How to iterate on a Veo 3 prompt
Iteration on Veo 3 is different from iterating on Sora or Runway because two axes of the output can now go wrong: the picture AND the sound. When a first Veo generation is close-but-not-right, diagnose which axis failed before you touch the prompt.
If the picture is wrong (framing off, action wrong, style wrong), edit the subject, action, camera, lighting, or style line. Leave the audio line untouched. Regenerate.
If the sound is wrong (wrong ambience, wrong dialogue delivery, music the wrong genre), edit only the [AUDIO:] or [DIALOG:] line. Leave the visual fields untouched. Regenerate.
If both axes are off, generate one variant fixing only the visual first, verify it lands, then change the audio in a second variant. Changing both at once masks which edit fixed what, so you cannot build intuition about the model's behaviour. If your dialogue is what keeps running long, rewrite it with the hook writer at the length that fits an eight-second Veo clip, then swap the shortened line into the prompt.
Two-axis diagnosis works because the audio is genuinely part of the generation rather than a layer bolted on afterwards. At launch, TechCrunch reported that Veo 3 can understand the raw pixels from its videos and sync generated sounds with clips automatically, which is why changing a visual line can quietly move the sound too, and why you want to change one axis at a time.
Where MakeAIVideo fits in the Veo 3 workflow
Veo 3 gives you eight-second clips with native audio. It does not give you a scripted three-minute finished MP4 with a hook, three product beats, a call to action, captions, and a 9:16 export. That is a different job.
The MakeAIVideo script-to-video workflow is where a script or blog post becomes a full narrated video with scenes, captions, music, and a platform-ready export. Veo 3 clips slot into that pipeline as the visual layer for individual scenes, with their native audio track kept intact where you want the diegetic sound (product sizzle, ambient street, character dialogue) or muted when you want the MakeAIVideo voiceover to lead. Neither product replaces the other; they compose.
Two common shapes for the composition:
Veo for the money shots, MakeAIVideo for the story. If you are cutting a scripted 60-second ad, use MakeAIVideo to render the narrated beats and cut in one or two Veo 3 clips as the hero shots that need native audio (a barista dialogue moment, a product-in-hand reveal with real product sound). The video ad workflow is built around exactly this shape.
Veo for the atmosphere, MakeAIVideo for the voice. If you are making a mood-heavy music video creation or an ambient reel, generate the visual clips in Veo and hand MakeAIVideo the script that stitches them together with captions and platform framing. The audio side is where the two products actually complement most cleanly: Veo's diegetic sound plus MakeAIVideo's voiceover and captions, layered, is more finished than either alone. TechCrunch called it at the reveal: "audio output stands to be a big differentiator for Veo 3" against a field that at the time included Runway, Pika, Luma, and Alibaba. That is why a pipeline built to preserve that audio is worth more than a pipeline that flattens every clip to silence.
The rule to remember: Veo 3 is the camera and the boom mic. MakeAIVideo is the edit bay and the export. MakeAIVideo pricing starts at $9/month with a 7-day free trial, $0 today, cancel anytime inside the trial window.
You do not have to pick a side. Creators who ship the most finished work run Veo 3 for one class of clip and a pipeline like MakeAIVideo for the rest. Treat each Veo generation as one raw ingredient, not a finished asset.
Veo prompts FAQs
What are Veo 3 prompts?
Veo 3 prompts are the text instructions you give Google's Veo 3 model to generate an eight-second video clip. Because Veo 3 generates audio natively, a strong Veo 3 prompt specifies both a visual scene and a sound cue.
How is a Veo 3 prompt different from a Sora or Runway prompt?
Veo 3 prompts include an explicit audio direction (ambience, dialogue, music). Sora, Runway, Kling, Pika, and Luma all generate silent clips, so their prompts have no audio field. Veo 3 does, and skipping it produces default ambience you did not choose.
How long can a Veo 3 clip be?
Standard Veo 3 generations are eight seconds. The model supports extended sequences through scene-extension features inside Google Flow and the Gemini API, but the base unit for prompt-writing purposes stays at eight seconds per shot.
Where do I run Veo 3?
Google exposes Veo 3 through Gemini, Google Flow, Google Vids, Google AI Studio, and the Gemini API. Access, quotas, and pricing vary by surface. TechCrunch reported that the Veo 3.1 update rolled out to Flow, the Gemini app, and the Vertex and Gemini APIs, so the surface list keeps growing.
Can I use Veo 3 dialogue commercially?
Google's published terms allow commercial use of Veo 3 output subject to their usage policies. The safer discipline for sponsored work is to disclose AI generation upfront, per FTC guidance on synthetic endorsements. Do not use Veo 3 dialogue to imitate an identifiable real person.
How many words of dialogue fit in one Veo 3 clip?
About 20 words at natural conversational pace for a full eight-second clip. Twenty-five is a stretch and often gets rushed. Trim ruthlessly before you generate; a truncated dialogue line is a wasted generation credit.
What if I want a finished narrated video, not raw Veo clips?
That is a pipeline job, not a model job. Foundation models like Veo 3 output raw clips; a pipeline like MakeAIVideo takes a script (or a blog post), generates the scenes, adds voice-over and captions, and exports to platform-native aspect ratios. For a vertical assembly step, our shorts pipeline handles the 9:16 export end, which is the ratio Sprout Social's social media video specs guide lists for Reels, TikTok, and Shorts alike.
Do the same prompts work in Veo 2?
The visual fields (subject, action, camera, lighting, style) transfer almost exactly. The audio fields do not, because Veo 2 generated silent clips and ignored [AUDIO:] or [DIALOG:] lines entirely. If you are on Veo 2, treat these prompts as the visual half only and add sound in post.
Where do I go if Veo 3 is not right for my project?
If you need silent clips at longer duration, the Runway alternatives roundup covers the models with different strengths (motion realism, editorial tooling, stylised output). Veo 3 is not the best choice for every project, and the wider category has trade-offs worth reading before you commit a workflow to one model.
Where to start
Pick one category from the six above. Ship five Veo 3 generations using its five prompts before you touch the others. If you have not run a generation at all yet, the first-generation walkthrough covers which surface to sign in through and what the credits cost. The point of a prompt library is compounding recognition of what the model responds to, and running one category through five variations teaches you more about Veo 3's audio behaviour than scattering across five categories on day one.
If you want the finished narrated video that plugs Veo 3 clips into a real workflow, the MakeAIVideo character pipeline and our workflow both accept Veo 3 clips as the visual layer for individual scenes. The price sheet starts at $9/month with a 7-day free trial, $0 today, cancel anytime inside the trial window.
Six categories, five prompts each, one audio line per prompt. That is the whole library.
Written by Jamie Partridge
Founder at MakeAIVideo. Writing about AI video generation, scripting, scenes, and shipping content faster.