As AI models advance, companies are showing growing interest in autonomous AI agents that can carry out tasks without people. Yet complaints persist that AI-driven automation is still slow, even in Silicon Valley, highlighting a gap between expectations and on-the-ground experience. Some argue today’s large language models are built to assist humans rather than automate work, and that pursuing both goals can produce uneven performance. Surveys cited in reports show time saved by AI is often spent fixing or checking AI outputs.

OpenAI has released a limited preview of its “Decisions API,” designed to help systems make quick judgments within predefined options. TechCrunch reported the tool could complement large language models by addressing speed and cost constraints, with potential uses in software automation and AI agent monitoring. Sam Altman said it works by giving OpenAI’s “Luna” model a set of fixed choices to select from, while maintaining image understanding, broad language support and safety features.