Tokenmaxxing is what happens when AI developers confuse spending tokens with making progress.  A simple task becomes a giant prompt. A giant prompt becomes a massive context window. The massive context window becomes an expensive experiment involving agents, tools, memory systems, and enough tokens to finance a small village. The result is often the same: A slightly better answer, a much larger bill, and a screenshot for social media. Somewhere along the way, “using AI efficiently” turned into “see how many tokens I can burn before the model gives up.” Tokenmaxxing isn’t optimization. It’s not engineering. It’s not productivity. It’s the AI equivalent of revving a sports car in a parking lot and calling it transportation. Still, we’ve all done it. We’ve all stared at a dashboard showing millions of tokens consumed and thought: “One more run.” That’s why I made the Tokenmaxxing design. Not as a celebration. As a warning. Check out the designs at: https://www.etsy.com/shop/ContextWin...