uttam-gelot/payo

Description and use

**Project Summary:**
Payo is an open-source project that rapidly generates project-tailored AI assistant rules and skills for popular AI tools like Claude, Cursor, and Copilot. This tool enables developers to add AI capabilities quickly without starting from scratch, making it ideal for prototyping and internal workflows. With its straightforward integration and medium production readiness, Payo offers a valuable solution for developers looking to leverage AI in their projects.

**Value Proposition:**
The primary value proposition of Payo lies in its ability to simplify the process of integrating AI capabilities into projects. By generating project-tailored AI assistant rules and skills in under two minutes, Payo saves developers time and effort, allowing them to focus on other aspects of their project. This makes it an attractive solution for developers who want to prototype AI features, build RAG or agent workflows, or evaluate model tooling.

**Practical Adoption Path:**
The practical adoption path for Payo involves the following steps:

1. **Evaluation**: Developers can evaluate Payo by reviewing its GitHub repository, documentation, and codebase.
2. **Integration**: Once satisfied with the evaluation, developers can integrate Payo into their project using its API, SDK, or CLI.
3. **Customization**: Payo can be customized to fit specific project

Use in a workflow

uttam-gelot/payo 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.