NarratorML is a production-deployed, multi-agent system designed to support complex, long-running story design workflows. The system enables iterative creation of a story’s macro structure, narrative blueprint, and beat-driven scenes, while maintaining continuity and stylistic consistency across sessions.
The platform is built around explicit agent orchestration and a shared structured context, allowing different agents to handle planning, generation, quality assurance, and state management without silent side effects. Real-time streaming provides immediate feedback in the UI, while strict system invariants ensure predictability, auditability, and safe long-running use.
NarratorML was delivered as a complete, production-ready system, including a secure web interface, a streaming agent API, and exportable artifacts for downstream use.
A detailed technical write-up covers the multi-agent architecture, orchestration patterns, streaming protocol, and production deployment considerations.
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