LegalOn cuts Codex costs 65% without slowing development

LegalOn has shared how it cut its estimated daily spend on Codex, OpenAI's tool for software development, by 65%. Developer speed did not suffer. The team did not simply tighten limits: it matched Astra, Sol and Luna to different kinds of tasks and managed budgets deliberately.

The core idea is that the cost of AI is not a fixed fee but something you can steer. If every task, routine or complex, goes to the most expensive option, spending grows faster than value; matching options to tasks and setting budget boundaries removes that overpayment. The source does not detail LegalOn's exact settings, but the principle is clear.

If you already use AI tools or are about to, break your spending down by task and by person: what truly needs the pricier option and what a simpler one can handle. Set a monthly cap and name someone responsible for it. Comparing costs across periods is easier in 1Cifer: an agent pulls data from 1C, the bank and spreadsheets and shows where spending has grown.