Word usage audit and waste tracker for AI writing tools

A freelancer who pays for an AI writing tool's starter plan — and hits the 15,000-word ceiling every month — has no idea how many of those words came from useful drafts versus repeated regenerations they discarded. They just know they run out, and that 'upgrading to the business plan for unlimited words is expensive.' They're making a $50-or-more monthly decision based on zero data about their actual usage patterns.

This gap persists because the AI writing vendors track word consumption for billing purposes, not for user insight. Showing users exactly where their credits go would reveal how much waste comes from the tool's own regeneration UX — that's not information the vendor wants surfaced prominently, because it reframes the upgrade pitch as 'we designed a leaky bucket' rather than 'you need more words.'

Right now, users get a number going down and nothing else. There's no breakdown of which documents consumed the most, no flag when a single session burns an unusually high share of the monthly budget, no projection of when the limit will be hit based on current pace. The complaint 'I wish I didn't run out of words so quickly' is a data problem as much as a pricing problem — if users could see that 40% of their credits went to one rewrite session, they'd behave differently.

The business is built on the fact that this audit needs to happen every month. Word budgets reset. Usage patterns shift with project load. A writer who avoids one unnecessary upgrade per quarter because they optimized their usage has already paid for an annual subscription in savings. The ROI is concrete and monthly, which means the retention argument writes itself.

What to build

Build a browser extension that intercepts AI writing tool API calls, logs word consumption per document and per session locally, surfaces a monthly usage dashboard showing consumption by project and day, and fires a notification when projected burn rate will exhaust the plan before month-end.

Where to start

Launch specifically for one tool whose word usage UI is most opaque (no session-level breakdown, no burn-rate projection) and recruit beta users from that tool's public complaint threads, where the frustration is already documented and the audience is pre-qualified.

The hard part

Intercepting API calls or scraping usage data from third-party tools without official access creates legal and technical fragility — the extension may break with any tool update, and some tools may explicitly block this kind of instrumentation in their terms of service.

How it makes money

Free for the basic monthly dashboard; charge a small flat annual fee for multi-tool tracking, burn-rate alerts, and exportable usage reports — targeting users who pay for more than one AI writing subscription and want consolidated visibility.