Blog
Product updates, original research, and notes on AI cost, usage, and model pricing from the SuperPenguin team.
Stop Tokenmaxxing. Start Asking What You Got For It.
Jensen Huang wants engineers burning $250k in tokens; Uber blew its annual AI budget by April. The lesson is not to spend more or less, but to stop treating token consumption as the scoreboard and judge AI work by the outcome.
Why Use Many Token When Few Token Do Trick
A viral 'talk like caveman' skill is cutting tokens by stripping filler, and a rumor says the big labs do it inside their models. The rumor is mostly wrong. The real story: efficiency pressure is making machine reasoning terser, hidden, and harder to read.
How to Track Your Team's AI Tool Spend, Adoption, and ROI
Your team's AI tools are now a real line item. Here is how to track AI usage across your teams, orgs, and enterprise: what you spend, who actually uses it, and whether it pays for itself, all without surveillance.
Best LLM Cost Tracking Tools in 2026: Gateways, Observability, and Cost Management
The best LLM cost tracking tool depends on your question: gateways control spend, observability tools surface it, and cost management platforms attribute and optimize it.
The Smartest Model Is the One You Didn't Use
OpenAI split GPT-5.6 into three priced tiers (Sol, Terra, Luna). The real story is not capability, it is allocation: knowing how much intelligence each task actually needs.