Who pays
Engineering managers at AI-heavy orgs, 5-50 devs
Tokens This Week gives engineering managers a weekly cost intelligence report across OpenAI and Anthropic: total spend, waste patterns, top expensive prompt flows, and cost-per-developer breakdown. You cannot optimize what you do not measure.
Who pays
Engineering managers at AI-heavy orgs, 5-50 devs
Niche
AI cost tools built for software teams
Cadence
Automated weekly email every Monday morning
Teams burn budget in the background with no weekly visibility. By the time finance flags AI spend, optimization is already late.
Connect provider keys once, then get a manager-ready weekly brief: spend totals, anomalies, waste insights, and highest-impact prompt fixes.
caveman + prompt-shrinker can optimize prompts, but teams need baseline visibility first. Tokens This Week closes that gap.
Reports are email-native, so managers can forward a concise weekly snapshot directly into standups or sprint planning.
Pricing
Tokens This Week is built for engineering managers running AI-heavy teams who need a weekly spend signal before rolling out optimization work.
$19
per team, per month
Checkout is hosted by Stripe. Use the same work email for payment and dashboard unlock.
Start for $19/monthSave your team profile so we know who to activate after Stripe checkout.
After checkout, enter the same billing email to activate your cookie-based access.
Today we support OpenAI and Anthropic via read-only API keys. You can connect one or both providers, and the weekly report combines them into a single spend view.
We analyze usage events for expensive patterns like oversized context windows, unbounded output verbosity, and premium-model overuse on lightweight jobs. Each finding includes a concrete fix recommendation.
We optimize for minimal retention: encrypted provider keys and derived spend analytics. If your provider usage feed does not expose prompt text, we report anonymized prompt flow fingerprints instead.
Most teams get an actionable first report in under one week: top expensive prompt flows, estimated waste, and a prioritized optimization queue.