EpiNarrate Agentic Narrative Generation
An agentic framework for generating grounded public health narratives from complex epidemiological projections by separating numerical reasoning from natural language generation.
When to use
When needing to create clear, consistent, and quantitatively grounded narratives from multi-dimensional, ensemble-based numerical data, especially in public health or similar data-heavy communication contexts.
How to apply
Implement an agentic workflow where one agent extracts scenario axes and organizes data into a partial-order schema, another derives valid quantitative statements using a comparison grammar, and a final agent generates natural language narratives based on these structured outputs.
Glossary
- agentic workflow
- A multi-step process where specialized agents hand work to each other instead of one giant prompt.
- scenario axes
- The dimensions that define a story situation (who, stakes, constraints) extracted before writing.
- partial-order schema
- A structure that allows some steps to be unordered while preserving required dependencies.
- comparison grammar
- Rules for forming valid quantitative or comparative statements from organized data.