<p>Your AI system isn't going to crash. It's going to drift.</p> <p>A recommendation engine making 1.4 model calls instead of 1. A retrieval pipeline fetching 5 chunks instead of
<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market
<h1> Production Was Down… But Everything Looked Normal 🤯 </h1> <blockquote> <p>A real debugging story about silent failures and why thinking matters more than tools.</p>
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<p><em>The AWS Reliability Files, Part 1</em></p> <p>I told an AI a true fact about AWS. Then I had a second AI confidently insist it was wrong. Within one exchange, the first
<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic
<p>Two days into a batch classification run, I opened the log and saw line one again. Not a continuation of line one — the same line one, with a new timestamp and a new process
<p>The dry run said the reminder text would go out to a customer with the window "12PM–2PM." The actual appointment was 8AM–10AM. Four hours off, on a message the customer would
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