Most runaway LLM API bills aren’t caused by one catastrophic request — they’re caused by a loop that runs 500…
Browsing: AI Costs & Infrastructure
Managing LLM API costs, hosting AI workloads, observability, and running agents in production
By the end of this tutorial, you’ll have a working Python pipeline that submits 50,000+ documents to Claude’s Batch API,…
If you’re deciding which serverless platform for Claude agents to bet your infrastructure on, you’ve probably already hit the same…
Most LLM integrations fail not because of bad prompts or wrong models — they fail because nothing handles the moment…
Most developers I talk to think about self-hosting LLMs vs API cost as a simple per-token comparison. “Llama 3 is…
You’ve got a production agent that’s randomly returning garbage, your costs spiked 3x overnight, and you have no idea which…
By the end of this tutorial, you’ll have a fully functional local LLM running on your machine via Ollama, exposed…
By the end of this tutorial, you’ll have a production-ready error handling wrapper for Claude agents that implements retry logic…
If you’ve spent any time deploying serverless Claude agents past the prototype stage, you already know the problem: the platform…
If you’re running LLM-powered features in production and haven’t looked at your token spend recently, you’re probably leaving real money…