Overview
The model is the easy part. Everything around it is the work.
A well-prompted model is table stakes. Production LLM systems need structured evaluation, retrieval that scales, tool orchestration that fails gracefully, and guardrails that hold against the inputs you never planned for.
We build all of it — the full stack from prompt to monitoring — and we hand it to your team with the documentation and the understanding to operate it without us.
What's included
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Prompt architecture
Structured prompt chains, system instructions, and few-shot examples tuned for your domain.
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Evaluation suites
Automated scoring against graded datasets so you can measure quality and catch regressions.
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Retrieval (RAG)
Document indexing, chunking strategies, and retrieval pipelines tuned for accuracy.
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Tool use & agents
Structured tool calls, multi-step orchestration, and fallback handling for real-world conditions.
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Guardrails
Input validation, output filtering, and confidence thresholds that keep the system predictable.
How it works