Find the unit-economics problem hiding behind your AI feature

Average usage hides margin risk. This calculator models normal and power users as separate economic cohorts.

This starts with real model COGS and works backward into a credit system customers can understand.

The result is a customer-facing limit and overage price, not another abstract token-cost estimate.

A cheap request is irrelevant if several attempts are required to produce one accepted result.

This models billed context turn by turn and compares full history with scheduled summarization.

The result includes cache-write premiums and invalidation risk instead of assuming every repeated token is a hit.

It combines AI calls, human review, third-party tools, adoption, and incremental revenue in one feature P&L.

Instead of reporting new token prices, this calculates the required plan increase, usage reduction, or model switch.