Cutting AI Costs Without Cutting Quality

AI costs scale with the number of tokens processed, so the fastest way to cut spend is often to send less text to the model rather than switching to a cheaper one.

Caching repeated queries, summarising long documents before sending them as context, and routing simple requests to a smaller, cheaper model while reserving larger models for complex tasks can cut costs substantially.

We build cost monitoring into AI features from day one, since usage patterns in production often look very different from what teams expect during development.