Where it fits in our builds
From model call to shipped feature
The model is one box in a bigger system. User input and product data feed LLM features wrapped in guardrails, prompts, and evals, and the whole loop ships as one production release.
- Provider-agnostic routing with fallbacks.
- Evals run before users see a change.
- Cost and latency tracked per feature.
Inputs
User and system prompts
Product data
Retrieval over your own records
Guardrails
What it must never do
Your model
Evals
Catches regressions before users
Observability
What it actually did, in production
Rollback
A bad release is reversible
The model is the part you can swap. Everything around it is the part that decides whether the product works.
