Build realtime multimodal agents with Gemini Live
Conference Context
- Date/time: 2026-06-30 · 10:45am-11:05am
- Track/room: Workshops Day 2 · Track 4
- Speaker(s): Thor 雷神 Schaeff
- Session type/status: session · confirmed
- Track: Workshops Day 2
- Room: Track 4
- Session type: session
- Status: confirmed
Session Description
The Gemini Live API is incredible versatile when it comes to building realtime AI experiences. From live translation across 2000 different language pairs to building realtime multimodal agents that can work across text, audio, and vision. This workshop gets you from zero to fully conversational agent in a matter of hours.
Media Evidence
From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
These are phone-photo slide captures from the Google Photos AIE Slides album. They are supporting slide evidence and do not override official schedule fields.
- google photos aie slides 9gWZzS1EpXM1C5eK6 gemini live slides - Google Photos Slides: Gemini Live API Workshop (confidence: medium).
- Source video:
youtube-Bc6Ojl2XS1w - Slide deck: Dense Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind — 1 visible slide image(s); 1 HTML recreation(s).
- Additional slide evidence: Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind, Reconstructed Slides: From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
- Slide-derived themes for
youtube-Bc6Ojl2XS1w: engineering, future.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
youtube-Bc6Ojl2XS1w— 1 slide-derived text signals- Slide-derived themes for
youtube-Bc6Ojl2XS1w: engineering, future. - Evidence links for
youtube-Bc6Ojl2XS1w: youtube Bc6Ojl2XS1w, youtube Bc6Ojl2XS1w slides, youtube Bc6Ojl2XS1w dense slides, youtube Bc6Ojl2XS1w reconstructed slides
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
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
Supporting Slides
- youtube Bc6Ojl2XS1w slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube Bc6Ojl2XS1w dense slides (1 viable slide images).
- Related slide/OCR pages:
- youtube Bc6Ojl2XS1w dense slides
- youtube Bc6Ojl2XS1w reconstructed slides
- youtube Bc6Ojl2XS1w slides
- Slide-derived terms:
audio,engineer,engineering,future,deepmind,gemini,performance,google,thor,transcription,english,transcript,prompt,speaker,context,segment,following,europe
Synthesis
Synthesized Breakdown
Build realtime multimodal agents with Gemini Live ## Conference Context - Date/time: 2026-06-30 · 10:45am-11:05am - Track/room: Workshops Day 2 · Track 4 - Speaker(s): Thor 雷神 Schaeff - Session type/status: session · confirmed - Track: Workshops Day 2 - Room: Track 4 - Session type: session - Status: confirmed ## Session Description The Gemini Live API is incredible versatile when it comes to building realtime AI experiences. From live translation across 2000 different language pairs to building realtime multimodal agents that can work across text, audio, and vision. This workshop gets you from zero to fully conversational agent in a matter of hours. ## Media Evidence From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
Speaker And Company Context
- Thor 雷神 Schaeff — Member of the Technical Staff (DevX) at Google DeepMind at Google DeepMind.
Topics Covered
- Topic links are pending transcript-backed classification.
Derived Links And Source Material
- youtube Bc6Ojl2XS1w — related YouTube source page.
- youtube Bc6Ojl2XS1w slides — slide evidence.
- youtube Bc6Ojl2XS1w reconstructed slides — slide evidence.
- youtube Bc6Ojl2XS1w dense slides — slide evidence.
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.