by
Tag: AI System Design
Patterns and best practices for designing scalable and reliable AI systems.
-
When RAG Makes Your AI Worse: Hard Rules From Production
The trap Half the RAG projects Iām asked to review would be simpler, cheaper, and more reliable without a vector index. Teams add retrieval because every diagram on the internet…
by
-
Stateless vs stateful AI systems: what actually works at scale
The fastest way to blow your LLM budget The fastest way to blow your LLM budget is to keep shoving yesterday’s conversation back into the prompt on every turn. I…
by
-
Why your AI architecture looks right on paper but fails in production
The whiteboard looks perfect. The pager does not. You can diagram a clean RAG pipeline in five minutes. Vector DB, LLM, a couple of services, job queue, done. It demoed…
by
-
Token costs: what actually moves the needle in production
The real problem If your LLM bill surprised you last month, it probably was not the flashy features. It was the quiet stuff you never show the user: bloated system…
by
-
When AI Is The Wrong Solution (And What To Do Instead)
The uncomfortable truth: a lot of AI is busywork in disguise If you can write the spec, you probably do not need an LLM. I keep seeing teams ship chatbots…
by
-
Stop chasing model accuracy. Design for reliability.
The outage did not care about your 82% accuracy Your eval showed 82% accuracy last week. PagerDuty still went off at 2:13 AM because: The vector DB had a 99th…
by