Encore - The Creator Studio

An agentic content engine for live streams. Automatically generates clips, quotes, and blog posts from livestream transcripts using AI.

Using the Application

The application is fully deployed in AWS using CloudFormation and is currently running at:

https://d2kieub2umb93s.cloudfront.net

To get started:

1. Sign up using a valid email address (you'll receive a verification code)
2. Complete the profile setup wizard to configure your account and create a team
3. Once setup is complete, you can start creating episodes

For AI-powered content generation:

• Clip proposals, blog posts, and quotes require a valid transcript in SRT format
• Clip video generation requires video tracks to be uploaded to the episode

Local Testing

Prerequisites

• Node.js 22.x
• AWS CLI configured with appropriate credentials
• AWS SAM CLI
• An AWS account with permissions to deploy CloudFormation stacks

Project Structure

├── functions/          # Lambda function source code
├── frontend/           # React frontend application
├── schemas/            # Shared Zod schemas
├── templates/          # Email templates
├── workflows/          # Step Functions definitions
├── template.yaml       # SAM CloudFormation template
└── openapi.yaml        # API specification

Backend Setup

1. Install Dependencies

npm install

2. Configure Environment

Copy the SAM config template and fill in your values:

cp samconfig.yaml.template samconfig.yaml

Edit samconfig.yaml with your configuration:

• STACK_NAME - CloudFormation stack name
• ENV_HASH - Environment hash for resource naming
• ENCRYPTION_KEY - Secret key for token encryption
• MOMENTO_API_KEY - Momento API key for real-time notifications
• CACHE_NAME - Momento cache name
• SERP_API_KEY - SerpAPI key for web search functionality

3. Build and Deploy

# Install esbuild globally (required for SAM build)
npm install -g esbuild

# Build the SAM application
sam build --template-file template.yaml

# Deploy to AWS
sam deploy --config-file samconfig.yaml --config-env dev

4. Local Development (Optional)

Start the API locally:

sam local start-api

Frontend Setup

1. Install Dependencies

cd frontend
npm install

2. Configure Environment

Copy the environment example file:

cp .env.example .env.local

Edit .env.local with your configuration:

VITE_API_URL=https://your-api-id.execute-api.us-east-1.amazonaws.com/api
VITE_USER_POOL_ID=us-east-1_xxxxx
VITE_USER_POOL_CLIENT_ID=xxxxx
VITE_REGION=us-east-1
VITE_CACHE_NAME=your-cache-name

3. Run Development Server

npm run dev

The frontend will be available at http://localhost:5173

4. Build for Production

npm run build

Running Tests

# Run all tests
npm test

# Run unit tests only
npm run test:unit

# Run tests in watch mode
npm run test:watch

Architecture

• Backend: AWS Lambda (Node.js 22.x), DynamoDB, S3, EventBridge, Step Functions
• AI: AWS Bedrock (Amazon Nova Pro) for content analysis and generation
• Video Processing: AWS MediaConvert for video chunking, FFmpeg for clip stitching
• Frontend: React 19, TypeScript, Tailwind CSS, Vite
• Authentication: AWS Cognito
• Real-time: Momento Topics for notifications

License

Open Software License v. 3.0 (OSL-3.0) - See LICENSE for details.