Measure Before You Scale: SofiaVoice, Cortex-Flow and the Commerce Pipeline

Описание и применение

RS4 Lab провёл измерения и итерации над тремя системами, сократив задержки и добавив контроль качества, прежде чем масштабировать.

Задача

Three AI systems—SofiaVoice, Cortex-Flow, and the Commerce Pipeline—were too slow, unpredictable, or lacked clear metrics, making it hard to decide what to improve before scaling.

Результат

All three systems achieved deterministic, measurable, and human‑approved pipelines, reducing latency, adding guardrails, and enabling repeatable experiments before scaling.

Рабочий процесс

• Define hypothesis for each system
• Instrument all boundaries with metrics and checklists
• Run experiments and collect JSON metrics
• Analyze data and identify bottlenecks
• Iterate on architecture (async service, new TTS, state graph, strict payload)
• Validate with stress tests and human approval
• Document results in Markdown reports

Доказательства

Production audit: 5.81 s → 2.80 s (−51.7%)

Источник

Route A 8.0 min, Route B 33.9 min, 2/2 routes SUCCESS

Источник

84 assertions passing, 0 exceptions, 16–17 items exported per daily run in 5–9 s

Источник