Better Commands, Missing Capabilities
TL;DR for operators An agent’s ability to complete a desktop task depends on more than the model operating it. The commands exposed by the application, the effort required to discover them, and the ability to inspect saved results can materially change performance. ANIS, an Agent-Native Interface Synthesizer, generates agent-oriented commands from existing software capabilities and validates their effects on persistent artifacts.1 On 368 desktop tasks, DeepSeek V4 Flash improves from 68.5% success with native SDK access to 74.5% with ANIS, while average online token consumption falls from 84.4K to 21.2K per task. ...