#thesis
6 posts
-
From Tokenmaxxing to Tokenminimizing
The culture is shifting from throwing tokens at every problem to seeing and cutting the waste, and for Claude Code subscribers that changes what a quota tool is even for.
-
The problem with TokenMaxxing
TokenMaxxing is fun because someone else pays for it. Here's why the subsidy is ending, what Fable 5 just signaled, and how to find your own multiple.
-
Cost dashboards tell you the bill. They don't tell you what to change.
The gap between reporting agent cost and recommending what to do about it. Why an honest recommendation needs to be validated against the user's own data, and the recent research that makes that validation cheap.
-
Where Your AI Agent Bill Goes: 5 Token Waste Patterns
Model overspending, context bloat, redundant calls, runaway loops, and poor caching. What each one does to the bill, and the published technique that cuts it.
-
AI Agent Costs Are Real Now: What the 2026 Numbers Show
Uber burned a year of AI budget in four months. The sourced 2026 agent-spend figures, what the $1.3M bill is at standard pricing, and the June billing changes.
-
The 9-layer agent ecosystem map
A unified map of the agent operations ecosystem: nine layers from observability to token economics, the tools at each, where they are converging, and where the gaps remain.