AI agents shouldn't
read HTML.

Deliver lean, semantically rich, minimal DOM to your LLMs instantly.
Test your app 60x cheaper.

Get Started
cargo install llm-as-dom
lad - Semantic View
15,000 Tokens (Raw HTML)
<!-- Playwright Payload -->
<div class="tw-bg-gray-900 tw-p-4 tw-rounded-lg shadow-xl...">
  <form action="/login" method="post">
    <label for="user" class="...">Username</label>
    <input type="email" id="user" name="user" class="..." aria-describedby="...">
    <!-- 10kb of SVGs -->
    ...
</div>
120 Tokens (LAD Schema)
# Compressed LAD Semantic View 
[1] 📋 [Form POST /login]
    [2] 🔤 [Input Textbox] "Username"
    [3] 🔑 [Input Password] "Password"
    [4] 🔘 [Submit Button] "Sign in"

// 310ns heuristics logic. Cost: $0.00
// Action: lad_browse("test login") 

Faster Tokenization

Parses standard logic in 310 nanoseconds using Tier-2 Heuristics. Only calls LLMs for true ambiguity.

Reduced Cost

Spend $0.006 per login test instance compared to $0.36 on raw HTML parsers like Playwright MCP.

Cross-Engine

Built-in Chromium and native WebKit bridging for zero-install macOS runs testing rendering discrepancies.