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

说明与用途

RS4 Lab 对三套系统进行测量和迭代，降低延迟并添加质量控制，随后再扩展。

问题

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.

结果

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

工作流

• 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

证据

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

来源

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

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

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