Only pay on what you save.
jayn is a full time software engineer who audits AI features you already run and finds the cheapest setup for the same quality.
*on the requests that never needed the biggest model.
right size
configuration
Use a smaller tier. Same provider, one setting changed, no migration headache.
routing
Send each request to the right model: the large one where it helps, a small one for repetitive volume.
infrastructure
Compare managed open models behind the same OpenAI-compatible API. Self-hosting only if your volume justifies it.
*three AI bills, measured before and after. synthetic customers, real list prices.
use cases
a bike rental's customer chat · 30,000 conversations a month
new bill−98%
€41,600 saved a year, on one assistant
Cheap models are not interchangeable: MiMo, at the same €54, made 16 errors.
read the caseGPT-6 Luna, used better · 30,000 conversations a month
new bill−59%
−44% from caching alone
The clever tricks lost money: routers and cheaper models for easy messages.
read the casean AI receptionist for practices · 100,000 minutes a month
new bill−63%
€0.026 a minute instead of €0.070
The catch: slower to answer, and hosted in the US without HDS.
read the caserunning on AI credits? see how many months longer they last
jayn.os 1.0
no savings, no fee
If she finds nothing worth changing, you owe her nothing.
no migration sold
Keeping your current setup is a valid conclusion.
already in production
She independently audits the AI features you already run.