By the end of this tutorial, you’ll have a working Python toolkit that audits your prompts for token waste, applies…
Browsing: AI Costs & Infrastructure
Managing LLM API costs, hosting AI workloads, observability, and running agents in production
Most AI infrastructure advice assumes you have a DevOps team, a $10k/month cloud budget, and the appetite to run Kubernetes…
If you’re running LLM calls at any meaningful volume, the cheapest LLM cost comparison you do before picking a model…
Most teams treating LLM prompt caching cost as an afterthought are leaving 40–70% of their API spend on the table.…
If you’re running Claude at any meaningful scale, you’ve probably opened your Anthropic billing dashboard and felt a small jolt…
Most solo founders making AI infrastructure decisions are choosing based on vibes and blog posts written by people who’ve never…
By the end of this tutorial, you’ll have a production-ready rate limiting layer for the Claude API: one that handles…
If you’re running Claude agents in production and you’re not logging every request, you’re flying blind. You don’t know which…
Most teams burning through Claude API budget are making the same three mistakes: running every task through Sonnet when Haiku…
Most infrastructure advice for solo founders is written by people who have ops teams. The “right” architecture according to a…