Reference Architecture — Portcullis: A minimal but serious LLM gateway in Go with a tiny dependency set
A minimal but serious LLM gateway in Go with a tiny dependency set
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Production teardowns, token-economics models, compliance checklists, and architecture briefings from Systemics. Published instantly from Sanity Studio with zero build delay.
A minimal but serious LLM gateway in Go with a tiny dependency set
Reduce LLM costs with the five levers that actually move the bill: routing, caching, quantization, spot capacity, prompt discipline. Honest ranges, real math.
Most AI cost programs are one-time cleanups and the bill drifts back within a quarter. The weekly loop I run instead: attribution, anomaly detection on billing data, ranked levers, budgets as code.
The five levers that move an LLM bill, honest savings ranges, a routing table template, and the breakeven math for when fine-tuning beats prompting.
Kimi K3 priced itself like a frontier model, two leaderboards disagree by twenty ranks on the same product, and committed GPU capacity got more expensive while spot prices fell. What the token economics actually say about build vs buy.