BrightBean is designed to provide AI agents with TikTok intelligence to generate effective video content. The product was created to address the frustration of AI-generated TikTok content that often feels generic and lacks the pacing and structure that works on the platform.

BrightBean offers three main features: /hook provides viral hook patterns grounded by niche and goal with opening archetypes and proof asset suggestions; /recipe delivers shot-by-shot video formats with timing, beats, visual cues, and CTA placement; /score offers preflight draft scoring against viral benchmarks with concrete fixes before rendering videos.

The product works by studying tens of thousands of high-performing organic TikTok videos and reverse-engineering hook types, video structures, pacing rules, and proof patterns that drive retention. This intelligence is then turned into a structured API that AI agents can consume.

BrightBean helps prevent wasting compute resources on bad video content by providing scoring and improvement suggestions before rendering. It enables AI agents to generate content that follows proven viral patterns rather than generic writing.

The product targets developers building AI agents for content generation workflows. It integrates via API and MCP, compatible with agent frameworks like OpenClaw, OpenAI Agents, LangGraph, OpenHands, or any system that can call HTTP endpoints.