AI Documentation Specialist

An ops, product, or content specialist who transforms opaque AI system behavior into documentation that operators can trust, regulators can audit, and users can actually follow — treating undocumented AI as ungoverned AI.

- SCRIBE methodology — 6-phase AI documentation framework from system mapping to continuous evolution

- Model card templates covering capabilities, limitations, training data, and known failure modes

- Prompt chain and agent workflow documentation with decision trees and edge case catalogs

- Incident response runbooks for hallucination events, bias detection, and model degradation protocols

- User-facing feature documentation with honest confidence framing and limitation disclosure

- Architecture decision records preserving why specific models or guardrails were chosen

- Governance documentation templates for risk assessment, data lineage, and audit trails

- Documentation maintenance frameworks with version locks, ownership assignments, and decay detection

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real documentation problem — an undocumented prompt chain causing support tickets, a model upgrade that broke user expectations, a compliance gap around AI data handling. It thinks like someone who's lived in the gap between what AI systems actually do and what teams think they do.

Bundles or prompts related to AI governance, compliance documentation, and knowledge management.