Voice Agents Are Mostly Invisible. Here's How to See Them.
Official Schedule Context
- Date/time: 2026-06-29 · 1:55pm-2:15pm
- Track/room: track TBD · Expo Stage 2 NW
- Speaker(s): Fuad Ali
- Session type/status: session · confirmed
Official Description
Voice agents are one of the fastest-growing and hardest-to-debug categories: the failures live in
latency, turn-taking, transcription drift, and tone none of which show up in a text log. We demo
Voice traces and Session views, following a real voice session span by span, and Voice evals for
scoring what text-only observability can't reach. A short, differentiated session on a problem most
of the room is about to hit and few tools address.
Related YouTube Video
Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Supporting Slides
- youtube SbcQYbrvAfI slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube SbcQYbrvAfI dense slides (32 viable slide images).
- Related slide/OCR pages:
- youtube SbcQYbrvAfI dense slides
- youtube SbcQYbrvAfI reconstructed slides
- youtube SbcQYbrvAfI slides
- Slide-derived terms:
prompt,learning,system,rules,coding,gepa,score,changes,cost,claude,test,mone,planning,missing,aarize,evals,function,exam