TokenMaxxing: How to Get the Most Out of Your AI Models
60-second summary
TokenMaxxing shows users how to stretch AI token budgets by avoiding wasteful prompts and delegating simple tasks to cheaper models; it advises crafting concise inputs, leveraging system messages, batching requests, and employing low‑cost agents for routine work, ultimately reducing expenses while maintaining output quality, which could pressure providers to rethink pricing structures across the AI services market.
AI companies charge by the token, and most people burn them on jobs a cheap model could do. Here's how to spend less and get better results, from your first prompt to your first agent.