Hey everyone 👋
I’ve been diving deep into AI systems recently, especially around how LLM apps are built and scaled.
One thing I keep noticing:Most people don’t really know where their AI costs are going.
Things like:
- token usage
- retry loops
- inefficient prompts
They quietly increase costs without being obvious.
Lately, I’ve been exploring ways to track and understand this better while building AI solutions.
Curious — how are you all tracking your AI usage and costs right now?