Case Studies
Real stories of heavy AI agent users who cut their token spend with Tokenade — what they saved, how they did it, and what changed.
When Cursor's $20 Plan Emptied in an Afternoon
Cursor swapped 500 requests for a $20 wallet billed at API rates — and some users drained it in hours. Here's what really emptied it, and what would have stretched it.
Paul IrollaRead case study →How Two LangChain Agents Talked for $47,000
Four agents went into production. Two of them started chatting. Eleven days later the bill was $47,000 — and the worst part is how reasonable each individual API call looked. A story about loops, and why an alert is not a brake.
Paul IrollaRead case study →Peter Steinberger's $1.3M One-Month Token Bill
An engineer posted a screenshot of a $1,305,088.81 OpenAI bill for a single month — 603 billion tokens, one open-source project, three humans. Here is where all of it actually went, and the part of it nobody had to pay.
Paul IrollaRead case study →Why Microsoft Pulled Claude Code From Its Own Devs
Microsoft handed thousands of its own engineers Claude Code, then quietly cancelled the licenses six months later. The reason wasn't strategy. It was the invoice — and what it reveals about token-priced AI at enterprise scale.
Paul IrollaRead case study →How Henry Godnick Woke Up to an $80 Claude Bill
A solo Mac developer left a Claude script looping overnight and woke up to $80.17 he barely remembered spending. The number is small. The mechanism behind it is the same one that bankrupts AI budgets at scale.
Paul IrollaRead case study →Why Replit Agent Charged One User $1K In A Week
Replit Agent 3 turned a $180-a-month habit into a $1,000 week for one user — not because the agent failed, but because of how effort gets billed. Here is the mechanism, and the lever that actually moves the number.
Paul IrollaRead case study →Stanford & Michigan Ran the Numbers on Agent Costs
Researchers from Stanford, Michigan, and Google DeepMind ran eight frontier models through SWE-bench and measured every token. The headline: agentic coding burns 3,500× more tokens than a typical reasoning task — and spending more tokens buys you nothing.
Paul IrollaRead case study →How One Cursor Prompt Burned 300M Tokens
A Cursor Ultra user picked 'Auto' to stay cheap — and a single research prompt quietly spent 300 million tokens, 70% of a $200 monthly quota. Here's exactly how that happens, and why 'Auto' is not the same as 'safe'.
Paul IrollaRead case study →I Watched Someone's $6,000 Mistake Unfold Line by Line
He set up a 30-minute loop, went to sleep, and woke up to a $6,000 bill. The script wasn't broken — a silent infrastructure change had turned every cache hit into a full rebuild, 48 times before sunrise.
Paul IrollaRead case study →The AI Tool Nobody At Uber Could Put Down
Uber gave 5,000 engineers the best AI coding assistant money could buy — then watched it burn through the entire annual AI budget by April. A story about what happens when a great tool meets zero friction and no efficiency layer.
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