Generate AI camera moves with Seedance and build a previs review board

📘 Description This workflow is an AI-powered virtual cinematography and previs generation pipeline designed for film and VFX production. It transforms a director’s shot description into multiple camera choreography options, generates AI-driven previs videos, extracts key frames, and delivers a complete previs board package for supervisor review—enabling faster creative decision-making with zero manual setup. ⚙️ Step-by-Step Flow The workflow begins with a form-based trigger that captures a structured shot brief from the production team, including shot code, script snippet, camera and lens specifications, plate image reference, and movement complexity. This input is validated and normalized into a clean data structure, ensuring consistency across the pipeline. The processed brief is then sent to an AI agent powered by GPT-4o, which interprets the creative intent and generates three distinct camera choreography options. Each option includes a cinematic description, technical movement style, supervisor guidance, and a fully structured Seedance-ready prompt—effectively translating creative direction into executable camera logic. These AI-generated options are parsed and expanded into individual processing units, where each one is converted into a structured API request for video generation. The pipeline attaches the provided plate image as a visual reference to ensure all outputs remain grounded in the real environment. Each request is then submitted to the Seedance AI model as an asynchronous job, enabling parallel generation of all camera variations. A polling system continuously checks the status of each render at fixed intervals, ensuring that the workflow proceeds only after successful completion of all outputs. Once rendering is complete, the system collects each generated video and enriches it with production-ready metadata, including resolution, duration, and predefined key frames representing the opening, peak motion, and final composition. In parallel, the workflow downloads each video and archives it to Google Drive, creating a structured library of lighting references for downstream teams such as compositing and look development. An aggregation layer then compiles all camera options into a unified previs board package, formatting them into structured outputs for different platforms, including visual option cards, Jira descriptions, and a complete HTML lookbook. Finally, the delivery system distributes the previs package across multiple production tools simultaneously. A Slack message presents all options in an easy A/B/C selection format for supervisors, a Jira task is created for tracking and approval, a ClickUp record is logged for production management, and a Telegram message is sent for quick mobile access. This ensures that all stakeholders receive synchronized, actionable outputs, enabling fast and informed decision-making in the previs stage. 🚨 Error Handling • AI parsing fallback to handle invalid JSON outputs • Retry loop for incomplete Seedance jobs (polling system) • Dedicated error trigger with instant Slack alerts • Telegram alert if AI agent fails to generate valid output • Prevents pipeline breaks and ensures reliability 🧩 Prerequisites • Azure OpenAI (GPT-4o or similar model) • Seedance API (AI video generation) • Google Drive OAuth2 (asset storage) • Slack OAuth2 (team communication) • Jira API (task tracking) • ClickUp API (production management) • Telegram Bot (optional notifications) • Form/Webhook trigger (input layer) 💡 Key Benefits ✔ Converts creative intent into technical camera choreography automatically ✔ Generates multiple previs options for faster decision-making ✔ Maintains visual consistency using plate image reference ✔ Auto-extracts key frames for editorial and layout guidance ✔ Centralized previs board generation (ready for review) ✔ Multi-platform delivery (Slack, Jira, ClickUp, Telegram) ✔ Builds a reusable lighting reference archive 👥 Perfect For - Directors and cinematographers