Content by gareth bland (2)

Gareth Bland explains why AI agent costs can scale much faster than the work being done, and how context caching helps control token spend as agents take more turns.

Gareth Bland explains TokenOps: a practical way to control AI agent spend by focusing token budget where it creates real value. He breaks down why multi-turn agents get expensive fast, how cached input changes the cost curve, and which efficiency ratios help teams measure whether they’re getting leverage or just burning tokens.