Where the money went.
Teardowns of real cost spikes, architecture decisions that move the bill, and the monitoring patterns we build ModelBrake on.
Latest · Explainer
The AI Spend Blast-Radius Checklist for Production Teams
Seven failure modes, a five-minute scorecard, and the controls that shrink the maximum cost of an unattended failure.
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An unbounded retry loop01
A queue replay or cron job that runs twice02
An agent that does not terminate03
A provider fallback that silently becomes expensive04
+ 5 more
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How to Run an AI Spend Incident Review
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How to Set an API-Key Spend Ceiling Without Breaking Production
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The No-Proxy Buyer's Guide to LLM Cost Monitoring
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OpenAI Spend Alerts: What the Dashboard Catches, What It Cannot, and a Safer Backstop
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A Production Checklist for Retry Loops That Call LLMs
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Why Proxy-Based LLM Observability Is Not the Only Cost-Control Architecture
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What a Read-Only Billing Credential Can—and Cannot—Do
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The 7 Failure Modes Behind Runaway AI Bills—and the Circuit Breakers for Each
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Anthropic, OpenAI, Bedrock, and Vercel: Where Billing Data Arrives Too Late
Explainer09-08