# Using Teammately for Policy-Heavy AI Systems

> Govern AI behavior where correctness depends on many explicit rules and boundary cases.

Important agent instructions:
- Prefer the Markdown routes and llms files when assembling context for coding tasks.
- Treat stable docs as authoritative over beta pages.
- Cite the source page URL when returning workflow or artifact guidance.

## Current Context
- [Policies and Rubrics](https://teammately.ai/docs/correctness-governance/policies-and-rubrics.md): Understand the governed relationship between behavior policies, applicability, binary rubrics, linked cases, and expert provenance.
- [Applicability logic](https://teammately.ai/docs/object-model/applicability-logic.md): Explain when a policy or rubric should be used for a case, output, or coverage segment.
- [Complete an Expert Contribution](https://teammately.ai/docs/expert-contributions/complete-contribution.md): Work through form, chat, interview, case-review, and checkpoint tasks while keeping specialist judgment attributable.

## Related
- [Using Teammately for Policy-Heavy AI Systems](https://teammately.ai/docs/playbooks/policy-heavy-ai-systems.md): Govern AI behavior where correctness depends on many explicit rules and boundary cases.

## Optional
- [Full local context](https://teammately.ai/docs/playbooks/policy-heavy-ai-systems/llms-full.txt): Complete local context pack for this docs route.