Automates end-to-end clean plate generation and AI-assisted cleanup for VFX pipelines.
Automatically ingests a plate image and removal brief to generate multiple clean plate variations. Expands the removal brief into four passes, each with per-pass instructions for production-ready output, foreground isolation, and difference visualization. Produces production-ready Nuke scripts and assets, stores outputs to Google Drive, logs metadata in Notion, and notifies the team via Slack and Telegram.
Automates end-to-end clean plate generation, QC, and delivery-ready outputs for VFX pipelines.
Ingests webhook input and validates required fields.
Expands the removal brief into four passes with per-pass instructions.
Submits each variation to the Seedance AI API and renders video-based outputs.
Polls for completion and applies QC scoring to auto-approve or flag for review.
Generates a production-ready Nuke script and per-shot node graph.
Downloads outputs, uploads to Google Drive, and logs metadata in Notion; notifies teams via Slack and Telegram.
Two sentences explaining practical reasons to adopt this AI agent.
A simple, 3-step flow that non-technical users can follow.
Receive webhook payload, validate required fields, assign defaults, and expand the brief into four passes with per-pass instructions.
Submit variations to Seedance AI API as independent jobs, poll for completion, and apply QC scoring to auto-approve or flag for review.
Generate Nuke scripts, download videos, upload to Google Drive, log metadata in Notion, aggregate outputs, and notify teams via Slack and Telegram.
A representative scenario showing end-to-end task from intake to delivery.
Scenario: A 4K plate requires removing a vehicle and delivering a ready-to-compose clean plate, four passes and a difference map. The agent ingests the plate URL and removal brief, expands into the four passes, renders each variation via Seedance AI, runs QC, and auto-approves outputs that meet thresholds. It then generates a production-ready Nuke script, downloads the videos, uploads them to Google Drive, logs all metadata to Notion, and posts a detailed delivery summary with previews to Slack and Telegram.
Six roles across production pipelines that gain from automation.
Need fast, consistent cleanup without rework.
Require ready-to-combine clean plates and difference maps.
Handle high shot volumes with auditable workflows.
Benefit from integrated QC and routing.
Need centralized asset tracking and scripted outputs.
Require end-to-end visibility and delivery compliance.
The AI agent works inside your existing tools to streamline delivery.
Renders video-based clean plate variations from provided prompts.
Stores outputs in structured shot-based folders for easy access.
Logs metadata, QC results, and delivery details for centralized tracking.
Sends failure alerts and delivery previews to teams.
Distributes alerts and quick previews to stakeholders.
Triggers the AI agent workflow from a removal request.
Six practical scenarios where the AI agent adds value.
Common concerns and practical answers about using this AI agent.
The AI agent accepts a plate image URL and a removal brief, with optional object type, frame range, and QC thresholds. Payload validation ensures required fields exist and defaults are assigned. The webhook triggers the intake layer, which then structures data for downstream passes. All steps are logged for traceability.
You get four AI-driven passes per shot (production-ready clean plate, variation, foreground removal, and difference map), video outputs, a production-ready Nuke script, and structured delivery assets. All assets are organized with consistent naming, and metadata is stored in Notion. Delivery includes Google Drive links and status notifications via Slack and Telegram.
Processing time depends on plate resolution, length, and queue load. Seedance API renders variations in parallel, and QC runs quickly against predefined thresholds. In typical workflows, results advance to delivery within the defined SLAs, assuming healthy API availability.
Yes, you can adjust per-pass constraints and QC thresholds. The system uses sensible defaults but allows tuning to project standards. Changes apply to future requests and can be versioned in your Notion logs.
Outputs are stored in Google Drive with shot-based folders and standardized naming. Notion holds metadata and QC results for quick reference, and Slack/Telegram provide previews and direct delivery links. Access is controlled via Drive sharing settings and Notion permissions.
The Seedance API handles the heavy rendering tasks for video-based clean plates. The rest of the workflow—input validation, QC routing, Nuke script generation, and asset logging—runs around that core rendering service. If the API is unavailable, the system triggers alerts and routes for manual intervention.
A global error trigger catches failures and sends alerts to Slack instantly. The pipeline prevents silent data loss and retries or routes the issue to a human reviewer. Logs remain in Notion for post-mortem analysis, and notifications guide the team to re-run or adjust inputs.
Automates end-to-end clean plate generation and AI-assisted cleanup for VFX pipelines.
