WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Coffee With Developers • May 27, 2026

How Web AI Can Power the Agentic Web - Jason Mayes (Google)

Jason Mayes

Jason Mayes bets his career that the browser is the future of agentic AI. Discover how local models give JavaScript engineers the same power as Python developers.

Pause
Mute Enter Fullscreen
#1 about 1 min

The shift toward client-side agentic web development

Running small artificial intelligence models entirely within the web browser establishes the foundation for the future agentic internet.

#2 about 1 min

Adopting hybrid approaches for browser-based AI models

Testing local device capability determines whether an application should process data locally or leverage cloud fallbacks to optimize latency.

#3 about 2 min

Democratizing model execution via shared hardware architectures

Modern shared memory architectures allow standard laptops to allocate system RAM directly to graphics processors for high-speed local inference.

#4 about 2 min

Managing the user experience of large model downloads

Developers must balance the friction of heavy browser payloads against the complete privacy and zero-latency benefits of bundled local weights.

#5 about 1 min

Applying low-rank adaptation for efficient model updates

Pushing localized parameter adjustments over base models allows multiple personalities to exist concurrently without forcing massive sequential transfers.

#6 about 2 min

Distributing compute power through community GPU sharing

Leveraging peer-to-peer browser synchronization creates ad-hoc clusters that securely combine shared graphical horsepower for distributed querying workloads.

#7 about 1 min

Shaping open standards for web-based machine learning

The W3C actively solidifies standard capabilities like WebNN and WebMCP to guarantee future execution stability.

#8 about 2 min

Using the web browser as a central agentic hub

Supplying direct domain tool access to models positions the browser as the focal environment for orchestrating automated cross-application processes.

#9 about 2 min

Optimizing token usage with opt-in API exposure

Exposing limited subsets of programmatic endpoints actively restricts model access scopes while significantly reducing processing token expenditure.

#10 about 2 min

Addressing storage limits and model caching solutions

Fragmenting parameter files dynamically addresses native multi-gigabyte storage boundaries encountered internally by standard memory cache mechanisms.

#11 about 2 min

Navigating privacy concerns with proprietary browser AI

Employing open-source Apache licensed alternatives directly mitigates overarching security telemetry concerns associated natively with proprietary built-in models.

#12 about 2 min

Accelerating local inference using WebGPU and WebNN

Transitioning computational workloads from WebGL pipelines to WebGPU delivers significantly higher data throughput for dedicated mathematical calculation tasks.

#13 about 2 min

Choosing between built-in browser models and custom runtimes

Technical teams must reconcile the immediate speed of pre-installed web routines against the profound flexibility afforded by completely custom inference ports.

#14 about 1 min

Comparing ONNX runtime web and TensorFlow deployments

Integrating Python-based academia structures translates largely into adopting ONNX translation layers to bridge differences across historical JavaScript engines.

#15 about 2 min

Bringing JavaScript developers into web artificial intelligence

Utilizing locally verified toolchains allows frontend engineers to integrate sensitive enterprise systems without scaling traditional cloud backend infrastructure.

Matching moments

2:46 min

The case for native AI in web browsers

Maxim Salnikov Maxim Salnikov · World Congress 2025

2:54 min

Leveraging Chrome AI and nano models for web applications

Raymond Camden · Perf + AI

2:17 min

Accelerating local machine learning models via WebNN

Christian Liebel Christian Liebel · World Congress 2026 Europe

4:41 min

Exploring agentic browsers and artificial intelligence generation

Chris Heilmann +2 · LIVE

3:44 min

Pros and cons of running AI models in the browser

Alexandru Hang Alexandru Hang · Europe 2026 Virtual

2:33 min

Defining web AI and spurring ecosystem innovation

Thomas Steiner · Coffee With Developers

More from Coffee With Developers

Using Agents to Curate the Content You See Online - Dan Gish thumbnail
12:47
19 days ago

Using Agents to Curate the Content You See Online - Dan Gish

Dan Gish

AI Vector Search at Scale - Ewa Szyszka - Ewa Szyszka thumbnail
11:14
19 days ago

AI Vector Search at Scale - Ewa Szyszka - Ewa Szyszka

Ewa Szyszka

What is Cross-Origin Storage - Thomas Steiner thumbnail
34:51
19 days ago

What is Cross-Origin Storage - Thomas Steiner

Thomas Steiner

Women in AI - Nalini Garg thumbnail
42:19
20 days ago

Women in AI - Nalini Garg

Nalini Garg

Agents and People Dynamics in Shared Chats - Sam Liu thumbnail
37:41
27 days ago

Agents and People Dynamics in Shared Chats - Sam Liu

Sam Liu

Why Token Reduction Isn’t Cost Reduction - Dave Anderson & Sarel Weinberger, PhD. thumbnail
41:09
about 1 month ago

Why Token Reduction Isn’t Cost Reduction - Dave Anderson & Sarel Weinberger, PhD.

Dave Anderson, Sarel Weinberger, Phd

Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 10:20–10:50

Stage 1

The Browser Is Becoming an AI Runtime

Ajit Varma, Will Bryk

Ajit Varma
Will Bryk
Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 5

Edge AI: Running Agentic Intelligence Where Internet Can't Reach

Nitin Eusebius

AWS - Principal Solutions Architect

Nitin Eusebius
Open session

World Congress 2026 North America

September 25, 2026 · 15:30–16:00

Stage 6

Small LLM in your Browser: Huge Opportunities for Web Applications

Daniel Ostrovsky

UI/UX Architect at Payoneer | AI Architect | Full Cycle Development Expert | Public Speaker | Open Source Contributor |

Daniel Ostrovsky
Open session

World Congress 2026 North America

September 23, 2026 · 10:00–17:00

Stage 11

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 7

Designing High-Performance AI APIs: Lessons from Serving Millions of Real-Time Requests

Wayne Liu

Chief Growth Officer and Americas President of Perfect Corp.

Wayne Liu
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 4

From Software Agents to Physical Devices: Inside the Agentic Hardware Stack

Michael Yuan, Vivian Hu

Michael Yuan
Vivian Hu

Related videos

Exploring the Future of Web AI with Google thumbnail
33:51
Coffee With Developers • over 1 year ago

Exploring the Future of Web AI with Google

Thomas Steiner

AI in the Open and in Browsers - Tarek Ziadé thumbnail
53:54
Coffee With Developers • 8 months ago

AI in the Open and in Browsers - Tarek Ziadé

Tarek Ziadé

Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based thumbnail
30:13
World Congress 2025 • about 1 year ago

Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based

Maxim Salnikov

Prompt API & WebNN: The AI Revolution Right in Your Browser thumbnail
30:36
World Congress 2025 • about 1 year ago

Prompt API & WebNN: The AI Revolution Right in Your Browser

Christian Liebel

Run AI models in the browser: Real life scenarios and implementations thumbnail
33:15
Europe 2026 Virtual • 3 months ago

Run AI models in the browser: Real life scenarios and implementations

Alexandru Hang

AI in Your Browser: Exploring Chrome's Built-In LLM thumbnail
29:59
World Congress 2026 Europe • 2 months ago

AI in Your Browser: Exploring Chrome's Built-In LLM

Daniel Ostrovsky

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.