LLM Apps That Actually Ship

Ninety percent of AI proof-of-concepts never reach production. The ones that do share a playbook.

Start with an evaluation set

You cannot improve what you cannot measure. We build a golden dataset of 100–500 real inputs before writing any prompt.

Guardrails are a feature

PII redaction, jailbreak detection, human-in-the-loop approvals and token budgets are product requirements, not afterthoughts.

Control the cost curve

Caching, model routing (cheap model for easy queries) and batching routinely cut LLM spend by 60–80%.

Ship a boring API first

Put the model behind a versioned REST API with observability. You can swap models without touching your product.