The Web Was Built for Humans — Agents Broke It. Now We Need Agentic Apps

The web was built for humans - clicks, forms, and visual flows.
But today, a new class of users has emerged: AI agents.

These agents don’t browse your application- they operate it. And the web, as it exists today, was never designed for this.

The result is a growing layer of fragile workarounds: DOM scraping, screenshot-based reasoning, and prompt-engineered workflows that attempt to “guess” what an application can do. These approaches treat interfaces as something to reverse-engineer, rather than something to integrate with.

In this talk, we introduce a new paradigm: agentic applications.

Agentic apps are not defined by their UI, but by the capabilities they expose. Instead of forcing agents to navigate interfaces, we give them structured access to the underlying actions, state, and logic of an application.

We’ll explore how this shift is already happening through emerging standards like the Model Context Protocol (MCP), which defines how AI systems interact with tools and services. While MCP addresses backend integration, it leaves a critical gap at the frontend-where most application logic still lives.

To bridge this, we’ll present WebMCP, an approach to turning web applications into programmable systems. Using real examples from React apps, we’ll show how existing UI logic can be exposed as structured, composable capabilities-allowing agents to interact with your app directly, without brittle selectors or reverse engineering.

We’ll cover practical patterns for designing agent-friendly systems:

-modeling capabilities instead of screens
-exposing safe, composable actions
-separating execution logic from presentation
-enabling agents to operate your app reliably

This is not just about AI tooling. It’s a shift in how we design software:

From user interfaces → to execution surfaces
From applications → to capability systems
From human-first → to multi-agent environments

If HTTP made the web readable, agentic apps may make it operable.