If your AI team is hitting premium-model limits before the 7th day, that is not only a token problem.
It is a unit economics and architecture problem.
Perhaps you should reconsider your model strategy.
In just one month, we built 25 detached systems, nearly half already app-based, and our development progress now roughly 3× faster.
We also developed our own AI agent with smart routing capabilities, plus a web-based CLI and Telegram protocol.
Total AI operating cost? Around RM200/month sahaja.
And bukan development saja. Our staff use the same stack for daily work, including generating thousands of images every week.
So the interesting part is not only lower AI cost.
It is what happens when model routing, internal agents and detached systems start becoming your own infrastructure - instead of depending on one expensive model for everything.
Maybe token tak penat anymore. GPU pula yang fed up tengok kami. He he he.
Use the right model for the right job. Reserve the strongest model for audit and direction, and turn repeatable intelligence into infrastructure you own.
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Apa pendapat anda?
Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.
Bookmarked, mostly for premium-model.
Short and clear. web-based is worth sending to my team.
Honestly our staff use caught me off guard.
You can tell the writer actually worked on internal agents and detached systems.
First piece that handles month, we built 25 honestly. Worth reading twice.
Read this twice. app-based is what stayed with me.
The bit about reserve the strongest model is what I keep coming back to.
25这部分我看了几遍，值得再想。 读完之后还有一些疑问。