Quarter 1

• Launch MVP with core workflow builder, basic AI agents, integration, and collaboration capabilities

• Implement user management, organization, permissions, and sharing features

• Add text, image, video, PDF, and web ingestion data sources

• Provide workflow templates for common use cases like data extraction, NLP, image tagging

• Release Chrome extension for simplified web page data ingestion

Quarter 2

• Expand AI agents for sentiment analysis, entity extraction, object detection, face recognition

• Introduce data preparation agents for cleaning, transforming, and shaping datasets

• Add data destination actions for SQL databases, cloud storage, email, Slack

• Launch mobile app for monitoring workflows and organization management

• Begin public API documentation for custom integration and automation

Quarter 3

• Develop reporting, visualization, and dashboarding building blocks

• Introduce workflow scheduling, notifications, and alerts

• Formalize partnerships with complementary AI providers to distribute agents

• Build more pre-packaged industry-specific workflow templates

• Create community forum for users to share workflows, snippets, and advice

Quarter 4

• Enable packaged workflows to be listed and sold in a marketplace for added monetization

• Implement collaboration features like comments, task assignments, and change tracking

• Develop additional access control capabilities for row-level permissions

• Release Python notebook-style building block for custom scripting

• Expand docs and learning center with videos, sample workflows, and guides