What is an ad angle?
Ad angles explained: the persuasive argument behind a creative — angle vs hook vs format, and how to test angles systematically.
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The AI video glossary
Understand the system behind the creative.
Clear explanations of the models, metrics, formats, and production concepts that matter when you make video ads with AI.
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What is v4v? The AI creative workspace, explained
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36 articles
What is ad frequency (and when is it too high)?
Ad frequency explained: the average views per person, the fatigue thresholds that matter, and refresh cadence as the fix.
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What is an AI avatar?
AI avatars explained: digital presenters for product video — persistent identity across ads, when they work, and when a real face wins.
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What is an AI creative workspace? (2026)
An AI creative workspace runs multiple generation models — video, image, sound, translation — in one environment with one balance, instead of five tool subscriptions and tab-hopping.
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What is an AI film director?
The AI director explained: the orchestration layer that converts product context and format choice into scene, lighting and camera decisions.
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How v4v's AI Lab works: every model in one place
The AI Lab explained: direct access to Seedance, Kling, Veo, Wan, GPT-image-2, Nano-banana 2, Suno and HeyGen v2 in one workspace — when to use it vs the directed flow.
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What is an AI video ad generator and how does it work? (2026)
AI video ad generators, explained: tools that turn a product input into a finished ad. What separates template engines from model-stack systems, and the questions to ask before picking one.
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What are credits in AI video tools?
AI video credits explained: how usage-based pricing works, what a video actually costs, and the expiry trap to check before buying.
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What is AI video generation? A marketer's definition (2026)
AI video generation, defined for marketers: models that produce video from text, images or references — what it's good for in 2026, what it costs, and where it still falls short.
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How to write an AI video prompt
AI video prompting explained: the structure that produces usable product footage — action verbs, materials, voice notes — and what to leave out.
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What is 9:16 aspect ratio and why do ads need it?
9:16 explained: the vertical aspect ratio native to TikTok, Reels and Shorts — why cropping horizontal video fails and what 9:16-native generation means.
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What is B-roll (and does AI replace it)?
B-roll explained for ad makers: the supporting footage that carries pacing — and how AI generation changed its cost from shoot-day to prompt.
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What is CPM?
CPM explained: what drives your cost per thousand impressions, why creative quality lowers it, and how to read CPM signals in ad testing.
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What is creative fatigue?
Creative fatigue explained: why winning ads decay, the signals to watch, and refresh cadences that keep ROAS stable.
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What is creative testing?
Creative testing explained: the systematic process of finding winning ads — structure, budgets, kill criteria, and how AI changed the economics.
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What is creator whitelisting (allowlisting)?
Creator whitelisting explained: running paid ads through a creator's account identity — trust transfer, how it works, and where AI creative fits.
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What is hook rate?
Hook rate explained: the metric that predicts ad performance — how to measure it, benchmarks, and how to improve it with creative testing.
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What is image-to-video AI?
Image-to-video explained: AI that animates a still image into moving footage — the workhorse technique for turning product photos into ads.
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What is AI lip sync?
AI lip sync explained: matching avatar mouth movement to generated speech — how it works, where it's used in ads, and the honesty line.
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What is motion control in AI video?
Motion control explained: guiding AI-generated movement with poses, paths, references and camera signals — control without prompt roulette.
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What is motion copy AI? The hook-rate lever, explained (2026)
Motion copy AI applies a proven motion pattern from one clip to new scenes — the fastest way to replicate a winning hook across SKUs. How it works and what it costs.
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What is a negative prompt?
Negative prompts explained: instructing AI what NOT to generate — the quality-control layer behind clean product ads.
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What is a persistent creative system? (2026)
A persistent creative system keeps products, briefs, avatars and styles connected between sessions — the difference between generating ads and running an ad production system.
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What is a reference image?
Reference images explained: guiding AI generation with example images for product identity, style and composition.
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What is retention rate in video ads?
Video retention explained: the watch-through curve, where drop-offs diagnose creative problems, and retention's link to cheap delivery.
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What is ROAS?
ROAS explained for creative teams: what it measures, what it hides, and why creative velocity is the ROAS lever most brands ignore.
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What are TikTok Spark Ads?
TikTok Spark Ads explained: boosting organic-style posts as ads — why native-reading creative matters and how AI UGC fits the format.
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What are start and end frames?
Start and end frames explained: anchoring a generated clip's opening and closing image — the control that makes clips chainable into ads.
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What is text-to-video AI?
Text-to-video explained: generating footage from a written description — capabilities, limits and where it fits in ad production in 2026.
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What is UGC ad creative? And why AI is replacing shoots (2026)
UGC ad creative, defined: ads styled like authentic user content rather than studio polish — why it converts, and how AI generation collapsed its production cost in 2026.
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How to write a UGC script
UGC script writing: the beat structure (hook, problem, product, proof, push) and the language rules that keep 30 seconds sounding human.
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What makes a good video ad CTA?
Video CTAs explained: placement, wording and design of the call to action in short-form ads — with the benefit-over-command rule.
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What is a seed in AI video generation?
Seeds explained: the number that controls generation randomness — how to use seeds for reproducibility and controlled variation in ad production.
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What is video-to-video AI?
Video-to-video explained: transforming existing footage with AI — restyling, motion transfer, and where it fits in ad workflows.
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What is v4v? The AI creative workspace, explained
v4v explained in plain terms: an AI creative workspace that turns product URLs into directed video ads — the three modes, the model stack, and the pricing model.
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Why v4v: the honest case (and who shouldn't use it)
The honest case for v4v — auto-brief, model choice, never-expiring pay-per-use — plus the equally honest list of what it doesn't do and who should pick something else.
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What is an AI workflow?
An AI workflow is a sequence of connected tools that pass data or media between steps. In v4v.ai, a workflow can combine reference inputs, image generation, video generation, audio, and rendering into a saved process.
Can I automate video generation with v4v.ai?
Yes. Configure compatible nodes in the visual canvas, connect their inputs and outputs, and save the workflow. Run it again with new product references or prompts. Review the credit estimate before each run and inspect the finished media before publishing.
Sources: Public API and automation guide
How are AI Lab and Workflows different?
AI Lab is designed for individual generations with a selected tool and model. Workflows connects several tools into a repeatable sequence. Studio organizes your projects and assets, while Ecommerce offers a guided product-video process.
How can I measure the value of an AI workflow?
Track time per approved creative and the cost per usable output. A saved workflow reuses prompts and connected steps; provider queues, retries, and review still affect production time. Test campaign results with your own products and audience.
More questions? Read the product FAQ or contact support.
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