THE INFRASTRUCTURE LAYER FOR AI AGENTS

Interfaces are for humans. Context is for agents.

The missing middleware that reduces AI agent errors by 80% and cuts LLM costs by 95%.

Try the Demo See the Problem
80% Error Reduction
20Ă— Token Savings
95% Success Rate
$100k+ Annual Savings

The Crisis

Your AI agents are failing because your UIs are architecturally hostile.

Current AI automation treats interfaces as pixel grids or DOM trees—meaningless noise. Agents hallucinate, click wrong buttons, and fail 60-80% of the time. The problem isn't LLM capability—it's UI legibility.

Without Axillar

  • Agents see 10,000+ lines of cryptic HTML
  • XPath selectors break on every layout change
  • Vision models cost $$$, still only 64% success
  • No understanding of UI responsibility or priority
  • 80% failure rate on complex workflows

With Axillar Protocol

  • Agents see clean semantic layers
  • Responsibility-based mapping (Horizon/Nest/Talon)
  • Works with simple DOM parsing, no vision needed
  • Clear priority signals (SOVEREIGN vs DORMANT)
  • 95% success rate, 20x lower token costs

Try It Live

Paste any HTML. Watch Axillar map it to semantic layers.

This demo runs entirely in your browser. Paste HTML from any website—try right-clicking a web page, selecting "Inspect", then copying an element's HTML. Watch Axillar extract semantic layers in real-time.

Input: Hostile HTML

Tip: Right-click any web page → Inspect → Copy element HTML
Try AWS Console, Salesforce, or any SaaS dashboard for best results

Output: Semantic Layers
{ "protocol": "Axillar v1.1", "note": "Click 'Parse with Axillar' to see the transformation" }

How It Works

A protocol, not a product. Infrastructure, not an application.

Axillar sits between the DOM and AI agents, translating hostile UIs into clean semantic responsibility layers. Think of it as the Rosetta Stone for AI browser automation.

The Layer System

HORIZON (Layer A)

Responsibility: "Where am I in the system?"
Status: PERCHED (stable, always visible)

Contains: Global nav, breadcrumbs, mode filters

NEST (Layer B)

Responsibility: "What am I looking at?"
Status: IN_FLIGHT (active, user engaged)

Contains: Main content, data objects, current task

TALON (Layer D)

Responsibility: "What can I do right now?"
Status: SOVEREIGN (when active) | DORMANT (when hidden)

Contains: Action buttons, contextual menus, tools panel

Usage Example
from axillar_parser import Axillar

# Parse any HTML
engine = Axillar(html_string)
engine.auto_map()

# Get semantic manifest
manifest = engine.to_dict()

# Get LLM-ready context
context = engine.get_agent_context()

# Agent now knows exactly what to do
# No hallucination. No wrong clicks. Just works.

Ready to Ship

Open-source parser. Enterprise services. Exit-ready.

Built by a 20-year platform veteran who architected systems at Lowe's Innovation Labs. This isn't vapor—it's production-ready middleware with proven metrics.

Request Enterprise Pilot View on GitHub