Learn how to recognize an Astra moment: when a task needs deeper reasoning, stronger judgment, complex computer use, or a polished professional result. Use this guide to choose between a standard model and Astra while keeping human review, approvals, and final decisions in the right place.

Model selection is part of understanding AI tokenomics: different models and reasoning levels use different amounts of computational capacity to complete a task. Using the most powerful option for every request can waste resources, while using too little reasoning can produce weaker results and require more iteration. The goal is to use the lowest level of capability and reasoning that reliably produces the result you need.

This video breaks down ChatGPT’s June 8 release notes including improvements to interactive charts, adding table of contents to longer chats, full-screen writing blocks for longer-form work, and the ability to send emails from directly within a chat.