AutoClaw, as a work agent deeply optimized for GLM models, hopes to work alongside every user to advance the RSI process and boost productivity.
GLM is increasingly helping build AI itself.
For GLM-5.3-Flash, a GLM-5.3-powered agent helped bring a production inference system online in less than two weeks, while tripling throughput from the initial baseline.
The broader lesson is that stronger coding abilities are only part of the story. To tackle complex engineering work, agents need a way to test ideas, understand failures, and verify improvements. Engineers set the goals and boundaries; a well-designed feedback loop lets the agent keep making progress within them.
This is a shift from AI that writes code to AI that helps build and improve the systems it depends on. The model improves the system; the system runs the model.