# Coverage Stories

> Describe meaningful input situations and testable facet combinations used in Coverage Design and Case preparation.

Important agent instructions:
- Prefer the Markdown routes and llms files when assembling context for coding tasks.
- Use public docs for product capabilities and workflow guidance.
- Cite the source page URL when returning workflow or artifact guidance.

## Current Context
- [Coverage Stories](https://teammately.ai/docs/coverage-design/coverage-stories.md): Describe meaningful input situations and testable facet combinations used in Coverage Design and Case preparation.
- [Coverage Design](https://teammately.ai/docs/coverage-design.md): Use Canvas to define required input coverage and Inbox to decide how new findings affect benchmark membership.
- [Coverage Design Settings](https://teammately.ai/docs/coverage-design/settings.md): Set benchmark intent, facet handling, and coverage requirements while inheriting materials from Project Input Schema.
- [Case Foundry](https://teammately.ai/docs/coverage-design/case-foundry.md): Prepare Case candidates for Coverage Design from current requirements and captured project input settings.
- [Review Prepared Cases](https://teammately.ai/docs/coverage-design/case-review.md): Inspect generated inputs and materials against their captured coverage purpose before relying on benchmark membership.
- [Unbalanced Coverage](https://teammately.ai/docs/troubleshooting/unbalanced-coverage.md): Fix benchmarks that overrepresent easy or common cases while missing important behavior.

## Optional
- [Full local context](https://teammately.ai/docs/coverage-design/coverage-stories/llms-full.txt): Complete local context pack for this docs route.