> Canonical URL: https://codingcat.dev/course/full-stack-ai-agents-typescript/lesson/hybrid-web-ai-routing-browser-gemini-nano-cloud

# Hybrid Web AI: Routing Between Browser Gemini Nano & Cloud Models | Full-Stack AI Agents in TypeScript (No Python Required) | CodingCat.dev Course

[🧶 Full-Stack AI Agents in TypeScript (No Python Required)](/course/full-stack-ai-agents-typescript)Section 1.3 · Lesson 3 of 5[← Prev Lesson](/course/full-stack-ai-agents-typescript/lesson/deterministic-agent-workflows-vs-autonomous-loops)[Next Lesson →](/course/full-stack-ai-agents-typescript/lesson/serverless-gpus-without-dockerfiles-runpod-flash)

# Hybrid Web AI: Routing Between Browser Gemini Nano & Cloud Models

![Full-Stack AI Agents in TypeScript Architecture Diagram](https://cdn.sanity.io/media-libraries/mlttp0BZbCpV/images/78383c8986667bc1eaa504786488d88f212929a8-1280x720.jpg?w=1920&h=1080&q=82&fit=max&auto=format)[@CodingCatDev62.5K / 100K Subscribers Goal](https://www.youtube.com/@codingcatdev?sub_confirmation=1)[Subscribe on YouTube→](https://www.youtube.com/@codingcatdev?sub_confirmation=1)[Watch on YouTube App ↗](https://www.youtube.com/watch?v=7d6iJHEPMZI&list=UUnKZ8gEb78zXKMi1ns-IQ2g)

## Zero-Latency Local Inference with Automatic Edge Fallback

Why pay cloud token costs for simple summarization or draft formatting when Chrome's built-in Gemini Nano can run it locally on the user's GPU for $0?

Copied! 🐾📄 src/lib/hybrid-ai.tstypescript

```
export async function generateHybridSummary(text: string): Promise {
  if (typeof window !== "undefined" && "LanguageModel" in window) {
    const session = await (window as any).LanguageModel.create();
    return await session.prompt(`Summarize in 2 sentences: ${text}`);
  }
  const res = await fetch("/api/ai/hybrid-fallback", {
    method: "POST",
    body: JSON.stringify({ prompt: text }),
  });
  const data = await res.json();
  return data.text;
}
```

## Production Architecture Takeaway

Always pair window.LanguageModel feature detection with an edge API fallback so Safari, Firefox, and mobile users get the exact same UX.

✏️ Visual Architecture Diagram

## how this course connects together.

Follow AJ from first principles to production-ready architecture.

Let’s build it!✏️ Visual Diagram: Full-Stack AI Agents in TypeScript (No Python Re…✓ Good PatternVISUAL DIAGRAM[Diagram Walkthrough]Step-by-step diagram breakdown for Full-Stack AI Agents in TypeScript (No Python Required): Hybrid Web AI: Routing Between Browser Gemini Nano & Cloud Models: start with Core Architecture & Production Implementation, implement Full-Stack AI Agents in TypeScript (No Python Required), and ship to production.AAA Contrast Verified[Course Outline](/course/full-stack-ai-agents-typescript)

## Full-Stack AI Agents in TypeScript (No Python Required)

3/51

### Core Architecture & Production Implementation

- [1.1Why TypeScript Won the AI Application Layer](/course/full-stack-ai-agents-typescript/lesson/why-typescript-won-the-ai-application-layer)
- [1.2Deterministic Agent Workflows vs. Autonomous Loops](/course/full-stack-ai-agents-typescript/lesson/deterministic-agent-workflows-vs-autonomous-loops)
- [1.3Hybrid Web AI: Routing Between Browser Gemini Nano & Cloud Models▶](/course/full-stack-ai-agents-typescript/lesson/hybrid-web-ai-routing-browser-gemini-nano-cloud)
- [1.4Serverless GPUs Without Dockerfiles (RunPod Flash)](/course/full-stack-ai-agents-typescript/lesson/serverless-gpus-without-dockerfiles-runpod-flash)
- [1.5Agent Evals, Guardrails & Spend Caps in Production](/course/full-stack-ai-agents-typescript/lesson/agent-evals-guardrails-spend-caps-in-production)

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