The Agentic Web Blueprint
From First Principles to Production
By Zavier Sanders • September 21, 2025
Learn to build production-ready agentic web applications in TypeScript—from first principles to advanced patterns. Complete with working code examples, real-world use cases, and deployment strategies.
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Breaking Out of Chat
The web is transforming from a place you navigate through clicks to a place where agents act on your behalf through natural language.
For decades, we've clicked through endless forms, menus, and navigation trees to accomplish simple tasks. Need to book a flight? Click through date pickers, dropdowns, and filters. Want to analyze data? Navigate dashboards, export CSVs, open spreadsheets. The web has been a maze of interactions designed for humans who point and click.
AI agents changed the game—suddenly, you could ask for what you wanted instead of hunting for it. But early implementations trapped this power in walls of text. Chat interfaces became the new bottleneck: reading paragraphs, copying responses, switching between apps. Text is cognitively demanding. We replaced the tyranny of clicking with the exhaustion of reading.
The agentic web breaks us out of chat.
Just as the graphical user interface liberated us from command-line terminals, agentic web applications liberate us from both endless clicking and walls of text. These applications embed AI agents directly into interfaces where they can see, understand, and act—generating results inline, manipulating state safely, and collaborating with you in real-time.
Agents are powerful on their own, but agentic web apps make that power accessible. They're AI-native interfaces where agents don't just respond—they do. They draft documents you can edit side-by-side. They surface insights right where you need them. They transform vague requests into structured outputs you can refine. They integrate into your workflow instead of disrupting it.
This is the agentic web.
It's the next evolution of how we interact with software: moving from navigation-heavy UIs(point and click) to conversation-heavy UIs (chat with AI) to collaboration-heavy UIs (work alongside AI agents embedded in context-aware interfaces).
This blueprint exists to help you build for this new landscape. You'll learn not just how to create AI agents, but how to build the agentic web applications that make them truly useful. We'll cover:
- How to architect agents that are reliable, not just impressive in demos
- How to design interfaces where agents feel like collaborators, not chat windows
- How to structure outputs, handle state, and give users control
- How to ship production systems with observability, evals, and safety rails
Whether you're a developer skeptical of AI hype or a founder eager to ride this wave, this blueprint gives you a pragmatic, opinionated path forward. No hand-waving. No buzzwords. Just real code, real patterns, and real guidance for building applications that work.
The agentic web is not coming—it's already here. The question is: will you build it?
Table of Contents
Part 0: Foundation
Get started with foundational concepts and real-world inspiration
Part 1: Fundamentals
Understand the building blocks of AI agents from first principles
Part 2: Core Patterns
Learn through complete, production-ready agent implementations
Part 3: Shipping to Production
Deploy reliable, observable, and scalable agentic systems
Part 4: Advanced Patterns
Master cutting-edge patterns for complex applications
What you'll build
A production-ready agentic application that plans, uses tools, executes code safely, and interacts through a modern chat UI—supported by observability, evals, and cost controls.
The stack
- • Mastra: orchestration, tools, planning loop
- • CopilotKit: chat UI, actions, streaming
- • E2B: secure, ephemeral execution sandbox
Prereqs
Familiarity with TypeScript, Node, and React. Basic terminal skills.
Safety & costs
We cover timeouts, budgets, and guardrails so you can ship safely.
Efficiency
You’ll get practical patterns that save both time and money.