Most teams can get an LLM feature demoed. Far fewer can tell you whether it is right, and fewer still can prove it stayed right after the last deploy. That gap is what we work on.
Start a conversationGolden sets, LLM-as-judge scoring, and a CI gate that fails the build when quality regresses. The thing almost nobody builds until it hurts.
Orchestration, routing, memory and tool boundaries for multi-agent systems that have outgrown a single prompt chain.
RAG pipelines that return the wrong chunk, rerankers that make it worse, and NL2SQL that quietly answers a different question.
A written teardown of an AI system already in production: failure modes, ranked fixes, and what to measure. Fixed price, one week.
Fixed scope and fixed price wherever the work allows it, because open-ended hourly engagements reward the wrong things. Most relationships start with a one-week reliability review, which is deliberately small enough to be a low-risk way to find out whether we are useful to each other.
We are a small team and we say no to work we are not right for. If the problem is not one of the four above, we will usually tell you who to talk to instead.