Prototype and production have different jobs
A prototype is allowed to be narrow. Production systems need predictable behavior, observability, access control, failure handling and an owner.
The production checklist
- Define supported inputs and failure modes.
- Protect credentials and sensitive business data.
- Monitor latency, errors and workflow outcomes.
- Keep a human escalation path.
- Version prompts, rules, models and integrations.
- Document who owns the system after deployment.
Do not confuse model quality with system quality
A strong model can still sit inside a weak workflow. Production reliability comes from the entire system: data, retrieval, tools, validation, approvals, integrations and monitoring.
Scale only after the process is understood
The safest route is usually controlled expansion. Validate one workflow, learn where exceptions occur, improve the architecture and then add volume or additional processes.