Write a reusable extraction prompt
Create reusable API extraction prompts with explicit record contracts, evidence references, unknown values, small examples, and meaningful review checks.
Read the guide : Prompts API Crawler6 min read🧭 COLLECTIONS
Prompts & evaluation
Define the job. Test the answer. Keep the uncertainty.
A reusable prompt needs an input contract, an expected output, and a way to recognize failure. This collection moves beyond broad instructions to concrete extraction and evaluation work. The examples use fictional documentation so reviewers can inspect exactly what the model was given and what it should have preserved.
The extraction guide starts with a compact operation record and an explicit policy for unknown values. The evaluation guide builds a fixture suite around grounded answers, conflicting revisions, missing facts, and harmless trust-boundary tests. Together they create a review loop instead of a collection of impressive-sounding prompt names.
Begin with the prompt library pattern, then test it with the evaluation article. Keep the source catalog and prompt revisions linked so a change can be traced to the right layer. For the underlying data model, read the catalog documentation and API foundations.
2 field notes in this collection
Evaluate grounded API answers
Test API crawler AI prompts with fictional fixtures for grounded answers, missing fields, conflicting versions, trust boundaries, and useful regressions.
Read the guide : API Crawler AI Prompts6 min read