AI courseware and product video generation platform
Stage
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Founded
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Based in
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CN
Pricing model
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Freemium
Pricing
Three subscription tiers: Start at $19/month for one author with ~55 posts/month, Pro at $49/month for multiple platforms with ~145 posts/month, and Agency at $99/month for teams with ~300 posts/month.
Free guest trial models (Agnes Image 2.5, Agnes Video 2.5 Flash) with 3 watermarked previews per day at 1K resolution. Subscriptions: Starter $9.99/month (1200 monthly credits), Pro $29/month (3500 monthly credits). One-time credit packs: Quick Pack $4.99 (600 credits), Creator Pack $19.99 (2400 cre
Key features
Voice profile building from real posts
Multi-platform post generation
Web search integration for factual accuracy
Multiple language support
Transparent voice profile editing
No automatic publishing
Text-to-video and image-to-video generation with multiple AI models
Outline-to-storyboard workflow for course videos
Reference-image consistency for product videos
Public gallery with prompt copying and remixing
Image generation and editing tools
REST API with webhook support and automation
Multiple premium AI video models including Seedance 2.5, Kling v3 Omni, and Veo 3.1
Free guest trial models with 3 watermarked previews per day
PWA installation for iOS and Android
Support for English and Chinese languages
What makes it different
Learns your authentic voice from your actual posts, not generic prompts
Adapts one voice profile across all platforms automatically
Grounded in fresh facts via web search with date verification
You always review before publishing—nothing goes live unverified
Specialized for two specific jobs: turning teaching outlines into consistent course video series and converting product photos into SKU-consistent shoppable videos
Reference-image consistency ensures generated product videos maintain the same SKU appearance
Multiple AI models in one workflow with production evidence recording
Community gallery with prompt remixing and visual assets for workflow support
REST API for integrating generation workflows into customer systems
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