AI Visual Content Pipeline

Objectives

• Build a visual DAG editor for designing multi-step image processing workflows
• Implement a pipeline engine that chains generation, editing, and QA steps
• Add A/B testing to compare visual variants and track engagement metrics
• Integrate publishing connectors for social media, CMS, and asset management systems
• Provide enterprise observability with pipeline logs, cost tracking, and alerting

Hints

• Use React Flow for the visual DAG workflow editor
• Implement each pipeline step as an isolated worker that reads from and writes to a queue
• Track cost per image across all API calls in the pipeline for budget management

Resources

• reactflow.dev/docs/introduction
• temporal.io/docs

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