Smart Routing & Self-Hosted: How Smart Teams Cut AI Costs 60–80% Without Losing Quality
Most teams still route every request to frontier models and watch their bills explode. Smart teams quietly cut 60–80% by building proper rou...
Most teams still route every request to frontier models and watch their bills explode. Smart teams quietly cut 60–80% by building proper rou...
Vector databases look cheap at 100k records. At 10 million, the bill becomes painful, and for many use cases, simpler markdown + search ofte...
Token prices have crashed 99% in two years, yet most AI SaaS teams are seeing their inference bills explode 3–10x. Agentic usage is the sile...
Vector databases look cheap at first, but RAG cost is distributed across storage, embeddings, queries, and re-ranking. This article breaks d...
AI feels cheap at the beginning, but costs grow faster than most teams expect. This article explains the real cost curve and why most models...
Choosing between OpenAI APIs and self-hosted LLMs is not just about price. This article breaks down real cost behavior, trade-offs, and when...
Most SaaS companies don’t have an infrastructure problem, they have a decision problem. This deep breakdown explains why teams overpay and h...
Serverless feels cheap at the start, until it doesn’t. This deep breakdown explains where the cost curve flips and why most teams miscalcula...
Frontend hosting looks free at launch, but cost models diverge dramatically at scale. This article breaks down the real cost of Vercel, Netl...