Blog

Plain reads on cutting the AI bill

How AI bills grow and how to bring them down without losing quality: trimming context, caching, routing to the right model, batch, and the keys and budgets that make savings measurable.

Featured

Cutting the AI bill without cutting usage

Cost

Pointing Claude Code, Codex and Cursor at one gateway

Setup

Pointing Claude Code, Codex and Cursor at one gateway

Setup

Offboarding someone who knows the AI password

Policy

Cutting the AI bill without cutting usage

Cost

A key per person: how per-person AI keys work

Explainers

What the provider terms say about sharing Claude and ChatGPT plans

Policy

Five shared AI logins and what they really cost you

Explainers

What this blog covers

Most AI bills grow for the same few reasons: long agent sessions resend their history on every turn, the strongest model answers easy questions, the same context is paid for again and again, and work that could wait runs at full price. These posts explain each one in plain words, with public prices and links to the provider documents behind every number.

Some posts are about cost directly. Others cover the groundwork that makes a saving measurable and safe: a key per person and per agent, budgets with hard caps, and what a clean offboarding looks like. Where a post uses an example, it says so. We do not publish customer results we cannot show you.

Get one useful email a month on lowering your AI bill

One email a month, unsubscribe any time. By sending this you agree to Proxen's Terms and Privacy Policy.