According to Andrew Ng on Twitter, the open source aisuite package, developed with Rohit Prasad, allows AI practitioners to quickly prototype highly autonomous yet moderately capable AI agents using cutting-edge large language models (LLMs). With minimal code, users can equip these models with tools such as disk access or web search, assign high-level tasks like creating a snake game or conducting deep research, and observe autonomous agent behavior. While Ng cautions that practical AI agents require more robust scaffolding and reliability measures, this approach offers a valuable, low-barrier opportunity for experimentation and research into agentic AI systems. For a detailed analysis and use case examples, see the write-up on deeplearning.ai (source: Andrew Ng, Twitter; deeplearning.ai/the-batch/issue-331).