CORE had telemetry. That was the comforting part. Every LLM exchange was being logged. Prompt...
CORE had telemetry.
That was the comforting part.
Every LLM exchange was being logged. Prompt tokens. Completion tokens. Duration. Cognitive role. Model snapshot. Timestamp. Privacy level. Enough information to reconstruct what the system had asked, which model had answered, and how the autonomous loop had used the result.
Then I asked the obvious question:
What did the last month of LLM work cost?
My LLM bill kept growing, so I did what seemed obvious: I looked for a cheaper model. That helped a...
Your LLM never reads your words — it reads tokens. And almost every surprise on your AI bill traces...
The Problem: The High Cost of Blind AI Requests When you build a standard CRUD application,...
So I was messing around with a little side project, a chatbot that answers questions about the World...
I built an LLM caching library to test what AI-assisted development actually looks...
I Spent $50 on LLM API Calls. Then Optimized to $0. The real cost of AI features isn't the...
