Real-time voice AI agents, explained (before you build one) @googlecloudtech
Real-time voice AI agents, explained (before you build one)  @googlecloudtech
Uploaded August 2026 | Updated September 2026, 3 weeks ago
Roadmap preview β†’ https://goo.gle/mma-roadmap

Most AI agents are text in, text out. This AI agent hears you, sees the page, remembers context, talks back, and moves a real browser: live, while you're still speaking.

I call that an omni-app: perceive β†’ reason β†’ express, running as one open loop instead of taking turns. In this video, Annie breaks down what a bidirectional live multimodal agent actually is, why it's a much bigger jump than "a better chatbot," and the full 6-episode roadmap for building one yourself with the Gemini Live API and Google's Agent Development Kit (ADK).

πŸ—ΊοΈ *SEASON 1 β€” THE ROADMAP*
* Episode 1 Β· Voice β€” text-to-speech vs. a live session, and why interruption changes the whole interface
* Episode 2 Β· Framework β€” raw GenAI SDK vs. Google ADK: who runs the loop
* Episode 3 Β· Tools β€” function calling inside a live conversation, and the latency problem it creates
* Episode 4 Β· Browser β€” giving your agent hands: voice-controlled browser automation
* Episode 5 Β· Memory β€” structured facts + vector memory, retrieved mid-conversation
* Episode 6 Β· Vision β€” one snapshot vs. a continuous frame stream, without killing the live feel

⏱️ *Chapters:*
0:00 - The demo: talking to an agent that actually acts
0:50 - What is an omni-app?
1:35 - Chatbot vs omni-app: one turn vs one live loop
2:10 - What "bidirectional" actually means
2:50 - The loop: Perceive β†’ Reason β†’ Express
3:25 - Season 1: six episodes
3:55 - Episode 1 Β· Voice β€” text-to-speech vs live (and interruption)
4:30 - Episode 2 Β· Framework β€” GenAI SDK vs Google ADK
5:00 - Episode 3 Β· Tools β€” and the tool-latency problem
5:40 - Episode 4 Β· Browser β€” giving the agent hands
6:00 - Episode 5 Β· Memory β€” facts, vectors, and live recall
6:20 - Episode 6 Β· Vision β€” snapshot vs continuous frames
6:55 - What developers will be able to build

πŸ”— *Resources:*
* Roadmap preview:β†’ https://goo.gle/mma-roadmap
* Code for this series β†’ https://goo.gle/mma-code
* Gemini Live API docs β†’ https://goo.gle/4xxUoQD
* Agent Development Kit (ADK) docs β†’ https://goo.gle/4g6JH0n

Connect with Annie online:
LinkedIn β†’ https://goo.gle/annie-linkedin
X β†’ https://goo.gle/annie-x

Watch more The Omni App β†’ https://g.dev/cloud/modern-ai-app
πŸ”” Subscribe to Google Cloud Tech β†’ https://goo.gle/GoogleCloudTech

#AIAgents #GeminiAPI #MultimodalAI

Speaker: Annie Wang
Products Mentioned: GenAI SDK, Google Agent Development Kit, Gemini Live API
Real-time voice AI agents, explained (before you build one)Agent context engineering for productionScale infrastructure as code: Proven strategies and productive workflowsWhats new with data agentsWhy use GKE for AI/ML workloads?7 AI agent patterns to improve your coding workflowNavigate the agentic shift in software development with GoogleIntro to AI agentsWe tried to jailbreak our AI (and Model Armor stopped it)Boost AI context with hybrid search in SpannerAlloyDB Lakehouse Federation: Unified access to BigQuery and Google Cloud LakehouseAI agents explained: Build your first agent in 8 minutes
Google Cloud Tech |

Real-time voice AI agents, explained (before you build one)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER