The Problem We're Solving

The Internet Was Built for Humans, Not AI

The internet was designed with one assumption: that a person with eyes and hands would click, type, and navigate through interfaces.

But AI agents don't have eyes or hands — they have logic and code.

Today's Broken Solutions

If you want an AI agent to interact with a website today, you have three bad options:

Option 1: Build Custom Integrations

Cost: $5,000-$50,000 per site Time: Weeks to months Maintenance: Constant — breaks when sites update Reality: Doesn't scale

Building custom scrapers or integrations for each website is:

• Extremely expensive

• Time-consuming

• Fragile (breaks with every site update)

• Limited to sites you've specifically built for

Option 2: Use Browser Automation

Speed: 5-60 seconds per action Reliability: 70-85% success rate Cost: $0.01-$0.10 per action Reality: Slow, expensive, brittle

Current GUI automation tools (like Atlas, Comet, or Selenium) work by:

1. Taking screenshots of pages

2. Using computer vision to guess where buttons are

3. Simulating clicks and typing

4. Waiting for page loads

5. Repeating the cycle

This approach is:

• Slow: Each action takes 30-45 seconds because of page loads and image analysis

• Fragile: If the website changes its layout or colors, everything breaks

• Expensive: Vision-based models consume huge amounts of compute power

• Unreliable: 15-30% failure rate on complex workflows

Option 3: Hope an API Exists

Coverage: Only ~1% of websites Cost: $0.10-$0.25 per call Reality: Extremely limited

APIs are great when they exist, but:

• Only major platforms have them (Twitter, LinkedIn, Stripe, etc.)

• Most websites don't offer APIs

• API access is often expensive or restricted

• You're locked into what the API provider allows

The Real-World Impact

For Businesses

• Cannot scale AI agent operations

• Stuck with expensive, manual processes

• Limited to a handful of supported platforms

• High failure rates disrupt workflows

For Developers

• Spend weeks building integrations that break constantly

• Can't build reliable AI products

• Limited to websites with APIs

• High infrastructure costs eat into margins

For AI Agents

• Blind to 99% of live internet data

• Can talk about taking actions but can't reliably execute them

• Stuck using slow, unreliable automation

• Cannot scale to handle real-world workloads

Market Statistics

The numbers tell the story:

• $5-7 billion total addressable market today

• $42 billion projected by 2030

• Millions of AI queries daily asking for live data

• 99% of valuable data locked behind web UIs

Every major tech company is racing to build AI agents:

• OpenAI with ChatGPT's agent capabilities

• Google with Gemini agents

• Anthropic with Claude computer use

• Microsoft with Copilot

But there's a fundamental problem: agents can't reliably access the internet.

Why This Problem Exists

The internet's infrastructure was built with these assumptions:

1. Users are humans with browsers

2. Interactions happen visually (clicking, scrolling)

3. Data is consumed through rendered pages

4. Sessions are managed through cookies and UI state

None of these assumptions work for AI agents.

The Core Issue

AI agents are intelligent, but they're crippled by infrastructure built for a different era.

We don't need smarter AI. We need better infrastructure that lets AI access the internet the way it actually works — at the network level.

That's what Unbrowse provides.

---

Next: Understand Why Now? — why this moment is critical for solving this problem.