tbhb/vale-ai-tells

Description and use

**Brief Summary**
tbhb/vale‑ai‑tells is a Vale‑style linting package that adds a ready‑made set of “AI tells” rules to help writers detect and improve AI‑generated content. It bundles the necessary API/SDK/CLI hooks, language metadata and topic filters so you can prototype RAG, agent‑based, or other AI‑enhanced workflows without building a model stack from scratch.

**Value**

• **Accelerated prototyping** – plug‑in the rule set and immediately get actionable feedback on AI‑generated prose, cutting weeks of custom rule development.
• **Unified tooling** – integrates with Vale’s existing ecosystem, letting teams enforce AI‑specific style guidelines alongside traditional grammar checks.
• **Extensible foundation** – the exposed signals (API, SDK, CLI) make it easy to layer custom RAG or agent logic on top of the baseline checks.

**Practical Adoption Path**

1. **Evaluate** – clone the repo, run the provided CLI against a sample document to see the rule coverage and output format.
2. **Integrate** – add the package to your Vale configuration (StylesPath) and enable the AI‑tells style in CI pipelines or editor plugins.
3. **Extend** – use the SDK hooks to connect your own LLM endpoints or RAG pipelines, customizing or augmenting the built‑in signals as needed.
4. **Validate** – run a small internal pilot (e.g., on a documentation or marketing draft set) to confirm that the rules align with your editorial standards.

**Production Readiness**

• **Maturity**: Medium. The project is actively maintained (last update 2026‑07‑01) and has modest community traction (36 stars, 5 forks).
• **Suitability**: Ideal for prototypes, internal tooling, or as a baseline for more complex AI‑augmented writing pipelines.
• **Considerations before production**:
• Verify license compatibility and perform a security audit of any external API dependencies.
• Assess long‑term maintainability—ensure you have a plan for handling updates or potential abandonment.
• Conduct performance testing if you plan to run the rules at scale (e.g., in CI for large documentation sets).

With these steps, teams can quickly adopt vale‑ai‑tells to enforce AI‑aware writing standards while maintaining a clear path to production‑grade reliability.

Use in a workflow

tbhb/vale-ai-tells helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.