Higgsfield Super Computer routes video tasks across Seedance, Kling, Veo using Claude Opus reasoning

Higgsfield released Super Computer, an agentic orchestration layer that routes video-generation tasks across multiple APIs—Seedance, Kling, Veo, Nano Banana, GPT-Image, Soul, and others—without requiring users to pick a model or edit manually. The agent analyzes the creator's profile, past work, and social-media trends on TikTok, Instagram, YouTube, and Meta Ads Library, then selects the best-fit model and parameters for the task.

The system runs on Claude Opus 4.7 by default, with fallback options to Opus 4.6, Sonnet 4.6, GPT-5.5 Pro, and Gemini 3.1 Pro. Users can swap the reasoning backend. Higgsfield describes the product as "the button to make it beautiful"—a single prompt interface that hides model selection, color grading, composition, and montage decisions behind agentic logic. The agent works inside Telegram as a chat interface, integrates with Notion, Gmail, Google Drive, Figma, and Slack, and can train Soul ID face models on uploaded references without manual setup.

What stands out

1. 01Multi-model routing under one prompt. Super Computer decides whether to call Seedance, Kling, Veo, or another API based on content type (ad, animation, viral clip) and the creator's historical output. No manual model picker.
2. 02Creator-profile analysis. The agent parses the user's past projects, social-media performance, and best-performing content types to tune its output style.
3. 03Social-trend scraping. The system crawls TikTok, Instagram, YouTube, and Meta Ads Library for trending formats, competitor videos, and similar clips, then incorporates those patterns into generation.
4. 04Code execution and web search. The agent can write code, parse web pages, and pull external data mid-workflow—extending beyond pure video-model calls.