Your Claude Limit Burns In 90 Minutes Because Of One ChatGPT Habit.

Token usage in AI is the central focus, emphasizing that efficient practices can significantly reduce costs, especially with the advent of more expensive AI models. The discussion highlights common mistakes that lead to unnecessary token consumption, such as ingesting raw PDFs instead of converting them to Markdown, sprawling conversations, and using the most expensive models for simple tasks. Nate shares a real-world example, where a production AI pipeline was able to keep cost per user at less than 25 cents by using better models. He introduces a "stupid button" designed to help users identify and correct inefficient token usage, and offers five commandments for agent context management, including indexing references, caching stable context, and measuring token burn. The key takeaway is that as AI models improve and become more expensive, optimizing token usage will be crucial for managing costs and maximizing the value of AI investments.