EmboFlow/design/01-product/v1-scope-and-mvp.md

EmboFlow V1 Scope And MVP

MVP Definition

The first release should prove that EmboFlow can turn raw embodied data assets into structured outputs through a visual workflow engine.

MVP Success Path

1. A user signs into a workspace
2. The user creates a project
3. The user uploads or imports a raw asset
4. The platform probes the asset and generates a structure summary
5. The user previews the asset
6. The user composes a canvas workflow
7. The workflow executes asynchronously
8. The user reviews logs, outputs, and generated artifacts
9. The user exports a normalized dataset, delivery package, or training config

In Scope For V1

• User login and workspace model
• Personal and team workspaces
• Project resource isolation
• Raw asset upload and import
• Object storage integration
• Asset probing and structure detection
• Raw asset preview
• Canvas workflow editor
• Built-in node library for ingest, transform, inspect, export
• Node configuration through schema-driven forms
• Code injection for processing nodes
• Workflow run orchestration
• Logs, status, retries, and artifact tracking
• Dataset conversion and delivery-package normalization
• Training config export
• Plugin registration skeleton

Important Business Scenarios

Embodied Dataset Conversion

• Import RLDS, LeRobot, HDF5, or Rosbag
• Map to canonical semantics
• Export to target dataset format

Delivery Package Normalization

• Import customer-provided raw directory or archive
• Rename top-level folders
• Validate required file structure
• Validate metadata files
• Check video file quality and naming
• Export or upload normalized package

Data Processing Workflow Authoring

• Drag nodes onto canvas
• Connect nodes into DAG
• Tune parameters
• Inject code into processing nodes
• Re-run pipeline with traceable history

V1 Modules To Build Deeply

• Identity and workspace management
• Asset ingestion and probing
• Workflow editor and node model
• Execution engine
• Built-in dataset conversion nodes
• Built-in delivery normalization nodes
• Preview and inspection
• Artifact export

V1 Modules To Keep Lightweight

• Annotation
• Collaboration
• Plugin lifecycle UX
• Advanced analytics
• Kubernetes and Volcano scheduling adapters
• Advanced multi-sensor synchronized visual analytics

Explicit V1 Exclusions

• Platform-managed training execution
• Real-time multi-user canvas co-editing
• Full marketplace for third-party plugins
• Complex enterprise approval workflows
• Streaming data processing
• Large-scale distributed execution as a deployment requirement