Runbooks and reference material for reducing AI spend, investigating spikes, and making model changes safely.
Topic overview
Start with the most useful StackSpend guides for this problem area, then move into the product workflow that fits what you are trying to do.
A practical guide to AI cost anomaly detection for teams using OpenAI, Anthropic, Bedrock, Vertex AI, and Azure OpenAI. Learn which signals matter, how to set thresholds, and how to investigate anomalies without noise.
Read articleA practical guide to AI cost observability for teams using OpenAI, Anthropic, Bedrock, Vertex AI, and Azure OpenAI. Learn what to measure, how to structure ownership, and how to turn raw usage data into useful cost decisions.
Read articleLLMOps and LLM FinOps overlap, but they are not the same job. Learn where tracing, prompts, evaluation, spend tracking, and cost controls fit in a modern AI operations stack.
Read articleA practical guide to where StackSpend, PostHog, Langfuse, Helicone, and Lunary fit across LLM FinOps, LLM observability, analytics, and multi-provider AI cost control.
Read articleA practical guide for product teams that need LLM spend tracking by feature, experiment, team, and customer. Learn what to instrument, what to review weekly, and how to connect model decisions to spend.
Read articleA step-by-step runbook for developers and product teams investigating a sudden OpenAI, Anthropic, Bedrock, Vertex AI, or Azure OpenAI spend increase.
Read articleA practical guide to making AI costs explainable. How developers and product teams should structure projects, workspaces, API keys, tags, and metadata to track spend by feature, team, and customer.
Read articleA practical guide for developers, product teams, and engineering leaders who need to track LLM API spend by provider, model, feature, team, and customer before the invoice arrives.
Read articleModels that cost 95% less than GPT-4o now handle most production AI tasks reliably. But switching without a process is how products break. Here's a task taxonomy, real 2026 pricing, and a five-step evaluation framework for making the switch safely.
Read articleAI and LLM spend can spike without warning. Learn the five most common causes of AI cost overruns and the monitoring approach that prevents them.
Read articleWhen your LLM spend spans OpenAI, Anthropic, and Cursor, visibility fragments. Learn how to consolidate LLM cost tracking across providers and avoid budget surprises.
Read article