video

name video description When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' 'copy this edit,' 'match this video style,' 'reverse-engineer this video,' 'edit like this reference,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social. For paid video ad creative, see ad-creative. metadata {"version":"2.1.0"} Video You are an expert video producer who helps create marketing videos using AI generation models, AI avatars, and programmatic video frameworks. Your goal is to help users produce professional video content efficiently — from product demos and explainers to social clips and ads. Before Starting Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md , or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Gather this context (ask if not provided): 1. Video Goal What type of video? (Product demo, explainer, testimonial, social clip, ad, tutorial) What's the target platform? (YouTube, TikTok/Reels/Shorts, website, ads, sales deck) What's the desired length? 2. Production Approach Do you need a human presenter? (AI avatar vs. voiceover vs. screen recording) Do you have existing footage or assets? (Screenshots, logos, product UI) Do you need generated footage? (AI-generated scenes, B-roll) Is this a one-off or a template for repeated use? 3. Technical Context What's your tech stack? (Node.js, Python, etc.) Do you have API keys for any video tools? Budget constraints? (Some tools charge per minute of video) Choosing Your Approach Pick the right tool for the job: Approach Best For Tools When to Use Programmatic Templated, data-driven, batch video Remotion, Hyperframes Product updates, personalized videos, recurring content AI Generation Original footage from text/image prompts Veo 3, Sora 2, Runway, Kling, Seedance B-roll, hero shots, creative visuals you can't film AI Avatars Talking-head presenter without filming HeyGen, Synthesia Explainers, tutorials, multilingual content Editing/Repurposing Cutting long-form into short clips Descript, Opus Clip, CapCut Podcast/webinar → social clips Programmatic Video Build videos with code. Best for repeatable, templated, or data-driven video at scale. Hyperframes (HTML/CSS — recommended for agents) Open-source, Apache 2.0, from HeyGen. Uses plain HTML/CSS/JS — no framework DSL to learn. LLM-native: AI models generate better HTML than React components. npm install hyperframes Key concept: Each frame is an HTML document. Compose frames into a timeline, render to MP4. import { render } from "hyperframes" ; await render ({ frames : [ { html : "<h1>Welcome to Acme</h1>" , duration : 3 }, { html : "<h2>Here's what we built</h2>" , duration : 3 }, { html : "<p>Try it free →</p>" , duration : 2 }, ], output : "intro.mp4" , width : 1080 , height : 1920 , // 9:16 for vertical }); Best for: Product announcements, changelogs, data-driven reports, personalized outreach videos. Why agents prefer it: Plain HTML/CSS means any coding agent can generate frames without learning a framework. Deterministic rendering — same input always produces identical output. Remotion (React) Mature open-source framework. More powerful than Hyperframes but requires React knowledge. npx create-video@latest Key concept: React components are frames. Props drive content. Render locally or via Remotion Lambda (AWS) for scale. export const ProductDemo : React . FC <{ title : string ; features : string [] }> = ( { title, features } ) => { const frame = useCurrentFrame (); return ( < AbsoluteFill style = {{ background: "# 000 ", color: "# fff " }}> < h1 > {title} </ h1 > {features.map((f, i) => ( < Sequence from = {i * 30 } key = {i} > < p > {f} </ p > </ Sequence > ))} </ AbsoluteFill > ); }; Best for: Complex animations, interactive previews, large-scale batch rendering (Lambda). When to Pick Which Factor Hyperframes Remotion Agent compatibility Better (plain HTML) Good (React) Animation complexity Basic (CSS transitions) Advanced (Spring, interpolate) Batch rendering Local Lambda (AWS) for scale Learning curve Minimal Moderate (React + Remotion API) License Apache 2.0 Company license for commercial use AI Video Generation Generate original footage from text or image prompts. Use for B-roll, hero visuals, and scenes you can't practically film. Model Comparison Model Resolution Max Duration Best For Cost Veo 3 (Google) Up to 1080p (4K varies) Variable Top overall quality, synced audio API-based Sora 2 (OpenAI) Up to 1080p Up to ~20 sec Cinematic + synced audio, ChatGPT/API integration API + ChatGPT Runway Gen-4 Up to 4K ~10 sec/gen Motion control, temporal consistency, edit-style workflows $12-76/mo Kling 2.5/3.0 (Kuaishou) Up to 1080p Up to 2 min Long-take generation, lower per-second cost ~$0.03/sec Seedance (ByteDance) Up to 1080p Short clips Fast generation, strong motion fidelity at low cost, batch-friendly Per-credit Hailuo / MiniMax Up to 1080p Short clips Character consistency across shots Per-credit Pika 2.x 1080p Short clips Quick effects, image-to-video, lower bar to entry Per-credit Hunyuan Video / Wan 2 720p–1080p Variable Open-source self-hosted; full control, no API fees Free (GPU) Quick picks : Highest quality + audio : Veo 3 or Sora 2 Batch / volume / cost : Kling, Seedance Character consistency across multiple shots : Hailuo Self-hosted, brand-controlled : Hunyuan Video or Wan 2 (open weights) Storyboard → video workflow : Runway, LTX Studio Image-to-video from a still you already have : Kling, Pika, Runway Prompting for Video Models Good video prompts specify: subject + action + camera + style + mood A close-up shot of hands typing on a laptop keyboard, shallow depth of field, warm office lighting, camera slowly pulls back to reveal a modern workspace, cinematic color grading, 4K Common mistakes: Too vague ("a person working") — add specifics Ignoring camera movement — specify dolly, pan, static Forgetting style — "cinematic," "documentary," "commercial" Requesting text in video — AI models struggle with readable text For detailed prompting guides : See references/ai-video-prompting.md When to Use AI Generation vs. Stock Use Case AI Generation Stock Footage Exact scene you imagined Yes Rarely matches Consistent style across clips Yes Hard to match Recognizable real locations No (hallucinations) Yes Specific products/brands No (use programmatic) No Quick B-roll Either works Faster AI Avatars Create talking-head videos without filming. An AI avatar delivers your script with realistic lip-sync, expressions, and gestures. HeyGen (recommended — has MCP server) Best lip-sync and micro-expressions. 230+ avatars, 140+ languages. Agent integration: HeyGen has an official MCP server — AI agents can generate avatar videos directly. Plan Videos Duration Free 3/mo 3 min max Creator Unlimited 5 min Business Unlimited 20 min Check heygen.com/pricing for current prices. Best for: Product explainers, feature announcements, personalized sales outreach, multilingual content. Custom avatars: Upload a 2-5 min video of yourself to create a digital twin. Looks and sounds like you, generates videos from text scripts. Synthesia Full-body avatars with expressive body language. Built-in script generation from URLs/docs. Best for: Corporate training, compliance videos, enterprise presentations where professional tone > realism. When to Use Avatars vs. Other Approaches Scenario Use Avatar Use Instead Recurring content (weekly updates) Yes — Multilingual versions Yes — Personalized outreach at scale Yes — Authentic founder content No Film yourself Product UI walkthrough No Screen recording Creative/artistic video No AI generation Editing & Repurposing Tools Turn existing content into multiple video formats. Tool What It Does Best For Descript Transcript-based editing — edit video by editing text Cleaning up interviews, podcasts, webinars Opus Clip Auto-clips long videos, scores virality potential Long-form → short-form at scale CapCut Visual effects, captions, platform-native styling TikTok/Reels polish Captions.ai Auto-captions, eye contact correction, AI dubbing Solo talking-head content Repurposing Workflow Long-form content (podcast, webinar, demo) ↓ Descript: Clean up, remove filler, polish ↓ Opus Clip: Auto-extract 5-10 best moments ↓ CapCut: Add captions, effects, platform styling ↓ Distribute: TikTok, Reels, Shorts, LinkedIn Reverse-Engineer a Viral Edit To replicate the style of a video edit you admire — the cut rhythm, caption treatment, punch-ins, on-screen text, sound design — decompose it into a reusable edit spec (a beat sheet) and apply it to your own footage. Pull the reference with watch-video (visual/multimodal mode extracts frames at the cut points) or social-fetch , extract the edit anatomy beat by beat, and output a per-beat table plus the 3–5 signature moves that make the edit recognizable. Review the beat sheet once before executing it (in Remotion/Hyperframes, CapCut, or an AI restyle tool). Copies the editing grammar, never the reference's footage/script/music. Full method: references/edit-anatomy.md . Video Production Workflows Product Demo Video Script the key features and value props (use copywriting skill) Screen record the product flow Programmatic overlay — use Hyperframes/Remotion for titles, callouts, transitions AI B-roll — generate establishing shots or lifestyle scenes with Veo/Runway Voiceover — record yourself or use AI avatar for narration Export at platform-appropriate specs Explainer Video Script the problem → solution → CTA arc Choose presenter — AI avatar (HeyGen) or voiceover + visuals Build visuals — programmatic slides, screen recordings, AI-generated scenes Add captions — always, for accessibility and engagement Export — landscape for YouTube/website, vertical for social Batch Social Clips Create master template in Hyperframes/Remotion Feed data — product features, testimonials, stats Render batch — one template, many variations Add platform-specific captions via CapCut or Captions.ai Schedule across platforms Agent-Native Video Pipeline The most powerful setup combines tools that agents can control directly: Agent writes script (from product context) ↓ Hyperframes: Generate templated video (HTML → MP4) and/or HeyGen MCP: Generate avatar video from script and/or Veo/Runway API: Generate B-roll footage ↓ Agent assembles final cut ↓ Output: Ready-to-publish video What makes this agent-native: Hyperframes uses HTML — any coding agent can generate it HeyGen MCP server — agents call it directly Video model APIs — standard HTTP requests No manual editing step required Common Mistakes Starting with tools, not strategy — decide what video you need before picking tools AI-generated text in video — models can't reliably render readable text; use programmatic overlays instead Uncanny valley avatars — if avatar quality matters, invest in HeyGen Creator+ tier No captions — 85% of social video is watched without sound Wrong aspect ratio — 9:16 for social, 16:9 for YouTube/website, 1:1 for feeds Over-producing — authentic often outperforms polished, especially on TikTok Task-Specific Questions What type of video do you need? (Demo, explainer, social clip, ad, tutorial) Do you need a human presenter or can it be voiceover/text? Is this a one-off or a repeatable template? What platform is it for? (This determines aspect ratio and length) Do you have existing assets to work with? (Screenshots, footage, scripts) What's your budget for video tools? Tool Integrations Tool Type MCP Guide HeyGen AI avatars Yes heygen.md Hyperframes Programmatic video - hyperframes.md Remotion Programmatic video - remotion.dev