rule-agent tests a language-first rule engine idea
rule-agent is a small experiment aimed at making the final step of using a easier. The main idea is to bring s closer to ordinary language instead of relying only on complex settings or code. The available description is very short, so the details, numbers, supported models, cost savings, and link are not confirmed.
Key points
- rule-agent is framed as a small experiment.
- The goal is to make rule handling closer to human language.
- No concrete code, benchmark, model support, or cost data is available from the provided text.
- The idea could help AI agents avoid unnecessary for simple rule-based decisions.