I Cut AI API Spend 95% Without Sacrificing Reliability
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Here's the thing: i Cut AI API Spend 95% Without Sacrificing Reliability Three months ago my CFO slid a spreadsheet across the table and asked me to explain why our LLM bill had grown 4× faster than the actual product traffic. Fair question. I had no good answer. So I spent the next eight weeks ripping apart our inference layer, rebuilding it the way I would build any other production service on AWS — with tiers, SLAs, fallback paths, and p99 latency budgets. The result: our monthly AI spend…
1Key Takeaways
- Here's the thing: i Cut AI API Spend 95% Without Sacrificing Reliability Three months ago my CFO slid a spreadsheet across the table and asked me to explain why our LLM bill had grown 4× faster than the actual product traffic.
- So I spent the next eight weeks ripping apart our inference layer, rebuilding it the way I would build any other production service on AWS — with tiers, SLAs, fallback paths, and p99 latency budgets.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that here's the thing: i Cut AI API Spend 95% Without Sacrificing Reliability Three months ago my CFO slid a spreadsheet across the table and asked me to explain why our LLM bill had grown 4× faster than the actual product traffic.
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