Guardrails First: Shipping LLM Features You Can Trust
In healthcare, a confident hallucination is a liability. Structured outputs, validation, and QA agents turn probabilistic models into dependable ones.
The demo always works. Production is where an LLM feature earns trust — or loses it. The difference is rarely the model; it's everything wrapped around it.
Constrain, validate, verify
We force outputs into strict schemas, validate them against domain rules, and run a separate QA agent to catch inconsistencies before anything ships downstream. A prescription agent should physically be unable to emit a drug name it can't ground.
Guardrails aren't a tax on speed. They're what lets you move fast without shipping something you'll have to apologize for.

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