dubery-prompt-parser

To parse plain-text prompts into structured JSON, you provide the text to a parser that extracts only explicitly stated fields, avoiding inference, to produce a strict schema-compliant payload for downstream validation and storage.

Extracting explicitly stated fields means the parser maps only the information present in the plain-text prompt into the JSON schema, avoiding any inference or added data, thereby preserving strict fidelity to the original prompt content.

You transform NB2 prompts by feeding the plain text into a parsing process that emits a strict, structured JSON payload, allowing the prompts to be stored, validated, and processed within generation pipelines without manual data entry.

No, parsing plain-text prompts into structured JSON does not add new information; it strictly extracts the fields explicitly stated in the text to adhere to a defined schema and preserve the original prompt fidelity.

You should use a strict JSON parser for NB2 prompt processing when your workflow requires storing, validating, or transforming prompts into machine-readable data without guessing, ensuring the output adheres to a defined schema.