suggest-target-ruleset

Generating target rulesets from policy documents involves analyzing section headings, summaries, tags, and computation hints to identify and suggest 1–3 candidate rulesets. These suggestions are saved in a structured YAML file for user selection.

Policy-to-rules translation is the process of converting complex policy documents into executable computation rulesets. You need it when you must systematically extract and structure compliance logic from policy texts for automated analysis.

You can narrow down ruleset suggestions by providing an optional hint, such as "eligibility", to prioritize specific types of rulesets. This hint-based prioritization filters the 1–3 candidate rulesets generated from the document's section headings and computation hints.

Yes, you can use computation hints to guide policy analysis by providing a domain name and an optional hint. The analysis uses these hints to prioritize and suggest target rulesets based on the specific computations found within the policy document.

The best way to structure extracted policy rulesets is to save them in a structured YAML file. This format captures the suggested candidate rulesets analyzed from section headings, summaries, and computation hints, enabling clear user selection.

Automated ruleset generation relies on analyzing existing section headings, summaries, tags, and computation hints within the policy document. While optional hints can prioritize suggestions, the document must contain these structural elements for accurate analysis.