We gave nine setups the same seven AI-written drafts and asked for three rewrites of each. The model trained for the job was the fastest by far and reworded most of the quotations its own prompt told it to keep. General models following the open humanizer skill kept nearly everything, including a 27B running on the same GPU.
TypeSafe AI's Jev went viral on a promise it cannot hallucinate and numbers showing 193x faster and 445x cheaper. The guarantee is real and much narrower than reported, the numbers come from the company's own evaluations, and TypeSafe is more careful about both than the people quoting it.
Anthropic's engineering blog describes how to build agents in production. agent-stdlib packages those procedures into installable skills, MCP servers, and safety hooks you can run in any harness.
This website is a public GitHub repository, and so is the rest of our stack. The practical case for building on open source.
We built our production website with Qwen3.6-27B, an open-source model from Alibaba. What frontier open-weight models can do now, and where you still need a person in the loop.