AI belongs next to the workflow
Clients do not need a generic chatbot on the marketing site. They need a helper that summarizes tickets, tags documents, or drafts a first reply inside tools staff already use.
Why Python shows up
Python still has the densest ecosystem for document loaders, evaluation scripts, and quick model adapters. We often expose a small FastAPI service that Laravel or a React BFF calls.
Keep the blast radius small
- Synchronous only when latency is acceptable; otherwise queue
- Hard timeouts and token/cost budgets per request
- PII redaction before prompts leave your boundary when required
- Human approve for anything customer-facing
Evaluation is product work
Ship a handful of golden examples. If quality regresses after a model change, you will know before staff complain.
This is the practical AI lane Rayaxis cares about: helpers that sit inside real business apps, not demos that die after the pitch.