Same as last month for once - optimizing how well agents can work with a new language [1]. I've been able to 2-3x success rate and drop total tokens for complex tasks significantly (though the initial syntax dump is rough - need to do some ablation there to get it down).

The best part has been that I think it's significantly improved things for humans too; it's weirdly satisfying to be able to measure improved ergonomics. Also, since a big pitch/theory was that the language should be ideal for agents as a result of the original nice things for humans it was designed for, it's a relief to be able actually measure a concrete lift.

[1] https://trilogydata.dev/ - SQL with types, composable functions of arbitrary complexity, and a native semantic layer.