Archive IX Research & Story Pipeline
AI Research & Story Engineering
Overview
A specialized research and story-development subsystem within Archive IX, designed to move from source research into structured documentary narratives. The system focuses on accuracy, consistency, and validation before content moves further through the production pipeline.
Key Features
- Research agents for source gathering
- Structured research outputs
- Source-oriented information handling
- Story development engine
- Pydantic contracts for data integrity
- Validation rules at each stage
- Quality gates before progression
- Modular Python packages
- Automated testing suite
- Structured production handoffs
Tech Stack
Project Type
AI Research & Story System
The Research and Story portions were developed as testable software pipelines, with structured contracts and validation rather than treating documentary generation as an unstructured AI conversation.
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