Google Developer Expert
Developer Evangelist
International Speaker
Spoken 211 times in 43 countries
Founder NextAI London
Founder Axiom Masterclass
Stochastic parrot or AGI?
What is a distribution?
Algorithmic Bias
Pick a number between 1 and 10 without saying it out loud.
Rise your hand if you picked the number
7
10
Seven is up to 10 times higher!
x10
7
10
7
10
The Ghost of Out-Of-Distribution
10:10
9:15
Final Boss: Context Contamination
Messi
Ronaldo
Lisbon
Distribution Drift
Original Prompt
New Prompt
Gemini 3
Gemini Evolution to Gemini 3
1h
video
11h
audio
30K
LOC
800
pages
1 Million tokens
NotebookML
Google AI Learning Path
Vertex AI
Complexity
Features
1
2
Generative AI for Developers
Vertex AI
Complexity
Features
Gemini Live in Action
Talk
30 Natural Voices
+24 Languages
2-15min
Show
Video
Attachments
Ask
Code Execution
Function Calling
Web Search
Generative AI for Developers
Vertex AI
Complexity
Features
The AI Playground for Devs
Vibe Code: Building with AI
Chat with Models: Prompting
Experiment with Gemini Live
What is an AI Agent?
Access to Tools and APIs
Python Sandbox
Google Search
Function
Calling
Multi-Agent Systems
Context Agent
Priorisation
Agent
Execution Agent
User
Goal/Rules
Task Queue
Task
Task creation Agent
1. Provide objective
4. Complete task
6. Update tasks
2. Add new tasks
3. Query context
Memory
5. Store task/result
Tools
Gemini Deep Research
AI Voice
Agents
AI Voice Agents Use Cases
Real Time
Native Audio
200-600 ms
30 Voices
Interactive
Half-Cascade
500-800 ms
8 Voices
On Demand
Text-To-Speech
few seconds
30 Voices
Tools: Google Search
Google Search
Run query in
Google Search
Tools: Function Calling
Function Calling vs MCP
Model 2
Model 1
Model 2
Model 1
Demo: AI Voice Agent using MCP
Voice-First Use Cases
24/7 Bookings using AI Voice Agents
Robot Cafe
Scan to access Slides.
Useful Links and Materials
Keynote: What’s new in Google AI Studio? From vibe coding to agentic AI
By Gerard Sans
Keynote: What’s new in Google AI Studio? From vibe coding to agentic AI
Generative AI has shifted gears. In this talk we explore how Google AI Studio now supports multimodal generation (text, image, audio, video) and real-time agents. You’ll see how Studio connects the latest model families (such as Gemini 2.5 and the expected Gemini 3) into a unified workflow of “vibe coding” rather than writing boilerplate. We’ll also dive into the voice-first capabilities made possible via the Gemini Live API: real-time, bidirectional voice and video conversations, tone-aware responses, tool-integration and session memory. Together we’ll look at prompt-to-code flows, media generation, voice-first use cases and the next generation of MCP-driven agentic AI.
