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

Full-Stack AI Agents in TypeScript Architecture Diagram

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✏️ Visual Architecture Diagram

how this course connects together.

Follow AJ from first principles to production-ready architecture.

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✏️ 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): start with Core Architecture & Production Implementation, implement Hands-On Implementation, and ship to production.

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Architect deterministic AI workflows, hybrid browser-to-cloud model routing (Gemini Nano + Cloudflare Workers), and serverless GPU pipelines in pure TypeScript.

course lessons.

Core Architecture & Production Implementation

1.1
Why TypeScript Won the AI Application Layer
See why shared Zod/JSON schemas across your UI, edge API, and tool-calling layer eliminate glue code between Python microservices and web apps.
▶ Video + LessonStart Lesson →
1.2
Deterministic Agent Workflows vs. Autonomous Loops
Know when to use explicit step-by-step state machines versus open-ended autonomous tool loops in production.
▶ Video + LessonStart Lesson →
1.3
Hybrid Web AI: Routing Between Browser Gemini Nano & Cloud Models
Run zero-cost local inference in Chrome with the Prompt API (Gemini Nano) and seamlessly fall back to Cloudflare Workers when on-device AI is unavailable.
▶ Video + LessonStart Lesson →
1.4
Serverless GPUs Without Dockerfiles (RunPod Flash)
Generate 3,000+ AI images and run custom GPU workloads on demand from a TypeScript web app without maintaining 15GB Docker images.
▶ Video + LessonStart Lesson →
1.5
Agent Evals, Guardrails & Spend Caps in Production
Protect your production AI endpoints against prompt injection, runaway retry loops, and surprise cloud bills.
▶ Video + LessonStart Lesson →