_scrollclaw-system

What problem does it solve?

ScrollClaw prevents AI-generated UGC from looking like polished ads by enforcing an anti-polish pipeline: real persona language, phone-real first frames, handheld energy, authentic audio, and strict post-production order.

Core Features & Use Cases

• Persona-first scripting: mines real customer language before production so the script sounds like a buyer, not a copywriter.
• Creator identity locking: keeps the same persistent creator look and voice across clips using canonical first-frame references and reusable creator profiles.
• First-frame-driven video generation: generates a controlled canonical frame first, then animates via i2v to preserve identity, composition, and color world.
• Anti-pattern guardrails: blocks common failure modes like random people, text-to-video for established creators, captioning before post-production, and content drift after stitching.
• Format routing by conversion intent: selects the correct UGC format (Talking Head, Hook Face + Demo, Podcast Clip, Wall of Text, Visual Transformation, Hybrid Transformation) based on the content goal.

Quick Start

Tell the system you are making a UGC video for a specific brand and specify which format goal you want (review, demo, authority, transformation, or faceless hot take), and then follow the pipeline order from brand setup through scoring.