LLM cost breakdowns, model comparisons, and AI spending strategies for SaaS developers.
Drop-in proxy. Zero prompt storage. Real-time cost tracking per feature and tenant.
Read article →Teams without real-time caps overspend by 23% on average. Here's how to build Redis-based hard caps at the proxy layer.
Read article →Teams without real-time alerts overspend by 23% on average. Here's how to set up a 3-tier alert ladder that catches spikes early.
Read article →The honest 2026 guide to LLM cost monitoring tools. Helicone acquired, OpenMeter gone. Here's what actually works.
Read article →Stack these 8 techniques to achieve 85%+ total cost reduction in production. Here's the data.
Read article →GPT-4.1 vs Claude Sonnet vs Gemini 2.5 vs DeepSeek — full comparison with real benchmark data and production cost math.
Read article →The honest comparison. Teams using proxy-based tracking catch 23% more cost anomalies. Here's why — and when SDK is actually the right call.
Read article →5% of your customers using 80% of your AI budget is a problem you can't see without per-tenant tracking.
Read article →Which feature is eating your AI budget? You can't answer that without tagging. Here's how.
Read article →50–90% cost savings. Zero feature code changes. Here's how prompt caching actually works.
Read article →The complete playbook for shipping AI features in SaaS without destroying your margins.
Read article →4 root causes behind unexpected LLM bills — and the proven fixes. Real numbers inside.
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