"Batch vs real-time: choose the processing mode before it chooses you"
Nobody decides to build everything real-time — it just happens, because request-and-response is how demos are built. Then volume arrives, and the bill and the rate limits arrive with it. Batch APIs run at half price; the question is what genuinely needs to be synchronous.

Nobody sits down and decides to process everything in real time. It happens by default, because request-and-response is how demos are built: you call the API, you wait, you show the result. The prototype works, it grows into the product, and a year later every document, every classification and every enrichment in the system runs through a synchronous path a human is rarely watching. Then volume arrives, and the bill and the rate limits arrive with it.
Have an AI feature stuck between demo and production?
The gap — reliability, evals, cost control, the plumbing that keeps it running unattended — is exactly the work I do. If that sounds familiar, a short conversation is usually enough to point you the right way.
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