Lesson 0: Why a Dedicated AI Layer?
An AI project starts small: one component calls the LLM API directly, and it works great. Then a second feature is added — a support chatbot, say — and it calls the same API again, from a completely different place in the code. Then a third feature. Now there are three direct calls to the model, eac
Like one kitchen station that prepares every dish in a restaurant, instead of three cooks improvising in their own corners — when an ingredient changes, you change it in one place, not in three different corners.
- AI Layer
- A single dedicated module that centralizes every LLM call, retrieval, and prompt construction, so the rest of the app calls it without knowing which internal details might change.
- Guardrails
- Protective mechanisms that stop a user from manipulating the prompt to leak system instructions or push the model into unintended behavior.
- Fallback and Retry
- Logic that retries or switches to an alternate provider when a model call fails or returns a transient error.
- Observability
- The ability to see exactly what was sent to the model and what came back — essential for debugging and for tracking cost and quality.
