About
About Artissist
Mission and Vision
Our mission is to help artists focus on creation by offloading administrative and organizational tasks to an intelligent assistant.
Artissist is an Artist’s Personal Assistant platform - an online-only AWS-first application that provides conversational logging, project planning, asset management, and insights for artists.
Key Features
Conversational Logging
The system captures natural conversations about artwork and automatically extracts structured data about projects, materials, time spent, and techniques using AI-powered analysis.
Project Planning & Management
- Dynamic planning briefs with versioning and changelog
- Milestone tracking with due dates and criteria
- Custom fields with Global Field Library
- Real-time updates via GraphQL subscriptions
Asset Management
- Organized storage for images, audio, and documents
- EXIF data processing and OCR capabilities
- Linked assets to projects and logs
- S3-based storage with intelligent archiving
AI-Powered Insights
- Amazon Bedrock integration for content extraction
- Amazon Nova Sonic for speech-to-text conversion
- Confidence-based attribution with user validation
- Analytics pipeline for creative insights
Architecture
Artissist is built on AWS with a modern, scalable architecture:
- Frontend: Next.js with TypeScript
- API: AWS AppSync (GraphQL)
- Database: Amazon DynamoDB with single-table design
- Storage: Amazon S3 with intelligent tiering
- AI/ML: Amazon Bedrock and Nova Sonic
- Analytics: AWS Glue + Athena
Core Technologies
- Node.js and TypeScript across the stack
- GraphQL API schema-first development
- Infrastructure as Code with Terraform
Development
The project is organized into milestone-based development phases, with detailed tracking in our project documentation.
Contributions are welcome via GitHub pull requests and issues. Join the discussion and help shape the platform.
Roadmap
- MVP release focusing on conversational logging
- Asset pipeline with automatic metadata extraction
- Public beta with collaborative features