Greg Isenberg and Ryan Vogel use email and lead-routing examples to explain Jev's predefined outputs and confidence scores. The system supplies decisions that software can consume, rather than writing a free-form chat response. Human priorities and application context still determine what a useful classification means.
Greg Isenberg and Ryan Vogel explore historical lead triage and a hypothetical service-matching application. Reported latency and cost reflect their examples and product claims, not independent benchmarks or a guarantee that an entire business process can operate without oversight.
Greg Isenberg and Ryan Vogel also test clip selection using word-level audio timestamps. A failed out-of-domain experiment illustrates that a fast classifier is not a universal forecasting or reasoning tool. The discussion separates demonstrated decisions from possible future applications.
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