If you’re running LLM workloads in production and you’re not watching your token spend, error rates, and latency distributions, you’re…
Browsing: AI Costs & Infrastructure
Managing LLM API costs, hosting AI workloads, observability, and running agents in production
If you’re running extraction pipelines, content classification, or document analysis at scale, you’ve probably already felt the pain: standard API…
If you’ve been paying $20–50/month for API calls to run a model that mostly does document summarisation or code completion,…
If you’re running an LLM-powered agent in production and haven’t implemented LLM caching response strategies, you’re almost certainly burning money…
Once your agent hits production and starts making real decisions — routing tickets, generating reports, calling external APIs — you…
If you’re seriously weighing self-hosting Llama vs Claude API, you’ve probably already done the back-of-napkin math and thought “wait, at…