AI Development & LLM Engineering
Build LLM Evaluation Pipeline — Without Re-launching Your Site
LLM apps that ground answers, control cost, and pass evals
Senior engineers · IST + EST overlapNDA on day 124-hour reply
The problem
What you're seeing
You ship LLM features by vibes — there's no automated eval, so model swaps and prompt changes are pure gut feel.
How we fix it
Our approach
We build a scored eval harness (LLM-as-judge + golden set + human spot-check), wire it to CI, and you stop shipping regressions you can't see.
What you get
Concrete deliverables, no fluff
Every engagement ends with measurable, documented outcomes — no black-box agency reports.
Evaluation harness with scored test cases
Implementation behind feature flags + rollback plan
Cost & latency dashboard wired to your observability
Hand-off doc covering prompts, models, and guardrails
Tooling we use
Industry-standard stack, no proprietary lock-in
OpenAIAnthropic ClaudeLangChainPineconepgvectorVercel AI SDK
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