End-user perceived latency metrics in shareable AI assistant demo links

17, Dec 2025

Shareable demo links for AI assistant widgets now display end-user perceived latency for each conversational turn. This exposes the full round-trip delay a user experiences, instead of platform-side timing that excludes last-mile effects.

What’s new

Per-turn latency display: Shows latency after every user-agent exchange in shareable demo links.
Client-side measurement: Latency is captured on the end user’s device, not Telnyx backend infrastructure.
Full round-trip timing: Measures from when the user stops speaking to when agent audio begins.
End-to-end scope: Includes turn detection, STT, LLM, TTS, tool calls, orchestration, and network transmission.
Voice-relevant metric: Reflects the mouth-to-ear turn gap used to evaluate voice agent responsiveness.

Why it matters

Reflects real user experience: Includes last-mile network latency that platform metrics and recordings miss.
Backend or recording-based metrics systematically underreport perceived delay.

Prevents misleading comparisons:

Improves agent tuning: Helps isolate whether latency comes from models, tools, or network conditions.

Aligns with voice standards: Uses the most meaningful latency metric for conversational voice agents.

Example use cases

Sharing accurate latency data during customer demos.

Comparing perceived responsiveness across regions or devices.

Explaining why live calls feel slower than platform recordings.

Log in to the Mission Control Portal
Navigate to your AI assistant widget.
Open or generate a publicly shareable demo link.
Run a voice conversation and review per-turn latency shown in the demo UI.

Learn more by exploring AI assistant widgets in the Mission Control Portalor by contacting your Telnyx team.

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End-user perceived latency metrics in shareable AI assistant demo links

17, Dec 2025

What’s new

Why it matters

Example use cases

Getting started