Practical AI video guides
Plan, create, and repair AI-assisted videos
Step-by-step guidance for product demos, scripts, faceless videos, text-message stories, YouTube Shorts, hooks, tool selection, and repairing generated scenes before publishing.
Maintained by the FrameCompose product team · Last reviewed 30 August 2026
Guide
How to Make a Product Demo Video
Learn how to plan, record, edit, caption, and export a concise product demo video for a website, sales conversation, feature launch, or social campaign.
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How to Turn a Script Into an AI Video
Turn an approved script into an AI-assisted video by planning scenes, generating visuals and narration, syncing captions, and editing the result before export.
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How to Make a Faceless Video
Plan and make a faceless video with a strong hook, narration, purposeful visuals, readable captions, music, and an editable scene-by-scene production workflow.
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How to Create YouTube Shorts
Create a YouTube Short by choosing one clear idea, writing a fast hook, building a vertical scene plan, adding captions and audio, and editing before export.
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How to Write Hooks for Short Videos
Write better hooks for TikTok, YouTube Shorts, and Instagram Reels by making the topic, tension, and payoff clear in the first spoken line and visual beat.
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AI Video Editor vs AI Video Generator
Compare an AI video editor with an AI video generator, understand where their workflows differ, and choose the right tool for generation, revision, or complete production.
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How to Make a Text-Message Story Video
Plan a two-person chat story, write a readable message-by-message reveal, preview the conversation, add narration and captions, and edit the timing before publishing.
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How to Fix One Bad Scene in an AI Video
A step-by-step method for diagnosing, replacing, retiming, and reviewing one weak generated scene without throwing away the rest of the AI video.
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Turn an approved script into a video
A product walkthrough for preserving the script through narration and scenes.
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Preview caption styles
Compare readable caption treatments before applying them to a project.
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