From Prompt to Pipeline: Shipping AI in Production
What it takes to move from a demo script to a reliable, scalable AI feature your users can depend on.
A prompt in a notebook is not a product. Production AI needs error handling, fallbacks, observability, and often RAG or tool use. **Checklist:** - Define success (accuracy, latency, cost). - Add retries and graceful degradation. - Log inputs/outputs (with PII in mind). - Version your prompts and model config. We help teams go from prototype to production with clear architecture and minimal over-engineering.