Return on Tokens
The only AI metric that matters: value of output minus cost of tokens, divided by cost of tokens.
ROT = (Value of Output - Cost of Tokens) / Cost of Tokens × 100
Tokenmaxxing vs tokenminning
Tokenmaxxing spends tokens as if spend were progress. Leaderboards reward the teams that burn the most, dashboards multiply, and the link to real value never appears. Tokenminning is the opposite discipline: spend the fewest tokens that produce the most value. The way to do that is to stop using tokens to run the business and start using them to compile it.
How to cut AI costs without losing accuracy
There are two levers. We raise the numerator by producing deterministic, production-grade output - the same correct steps every time, at the nines of accuracy real work requires. We cut the denominator by spending tokens only when the world changes; the rest of the time, code runs the work at near-zero cost. More value, fewer tokens, measurable ROT. This is the difference between AI agents and compiled code, and it is why we run the work your business repeats every day as deterministic code.
Want the full thesis behind this? See how Teyrex works, or model your own numbers with the Return on Tokens Calculator.
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