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The LLM Cost & Performance Playbook
Free Playbook

Stop guessing what your AI features cost

Every team using OpenAI or Anthropic APIs gets surprised by costs eventually. This playbook shows you how to track token usage, set up cost dashboards, and build fallback patterns that keep your app running when APIs are slow or rate-limited.

  • Track token usage, costs, and latency on every LLM call
  • Auto-instrumentation code for 8 languages
  • The alert rules that prevent $500 surprises

What you'll learn

Practical patterns you can apply the same day you read them.

Track LLM costs per request, per user, and per feature

Auto-instrument OpenAI and Anthropic in Node.js, Python, Go, PHP, Java, Ruby, .NET, and Laravel

Monitor P50/P95/P99 latency and set up timeout strategies

Graceful degradation: model fallbacks, circuit breakers, and caching

Build a cost dashboard with daily burn rate and anomaly detection

5 alert rules to set up on day one (before the bill surprises you)