Stroncami.it's Multi-Agent Architecture and the Transition from UX to AX
- Industry
- AI, Artificial Intelligence
- Services delivered
- Web Analysis, Software Development, Website Validation
Discover Agent Experience (AX): the new paradigm for optimizing websites not just for humans, but for AI agents. Stroncami.it, Vicedomini Softworks' multi-agent platform, analyzes your site's accessibility and readiness for the era of the Agentic Web.
The share of web traffic generated by bots has surpassed that of humans (over 51%). By the end of 2026, it is expected that 40% of enterprise applications will integrate task-specific AI agents. In this scenario, traditional User Experience (UX) metrics become insufficient for Large Language Models. Thus, the Agent Experience (AX) is born: the discipline of designing digital environments optimized for autonomous agents to interpret them, trust the data, and act efficiently.
Stroncami.it, developed by Vicedomini Softworks, is one of the first platforms in the world to embody this new paradigm. It is not a simple validator: it is a true multi-step LLM agent capable of performing comprehensive audits, measuring accessibility for both humans and artificial intelligences, and returning a ruthless yet valuable technical “Roast”.
1. From UX to AX: The New Web Paradigm
While UX focuses on visual hierarchies, colors, and human interactions, AI agents primarily consume the structural DOM. The Agent Experience (AX) sits between UX and Developer Experience (DX), prioritizing semantic purity, predictability, and actionability.
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2. How Stroncami.it Works
After a rigorous validation (HTTPS + execution in a real browser with JavaScript), the system distributes the analysis across five main categories:
Diagnostic Category | Main Focus | Impact |
|---|---|---|
Technical Aspects | Code, DOM, performance, responsiveness | Infrastructural robustness |
User Experience (UX) | WCAG, flows, keyboard accessibility | Usability and conversions |
Content and SEO | Semantics, indexing, copy | Search engine visibility |
Credibility and Brand | Trust signals, security, consistency | User trust |
AX Compatibility | llms.txt, JSON-LD, MCP, Agent Readiness | Effectiveness with AI agents |
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3. Multi-Agent Architecture
Stroncami.it uses an autonomous cycle of Planning → Tool Use → Reflection → Orchestration, overcoming the limitations of traditional prompts and simple RAG. This architecture allows for managing DOM ambiguities, dark patterns, and dynamic changes with high resilience.
4. MCP and Agent Skills
The platform verifies both support for Anthropic's Model Context Protocol (MCP) and the use of Agent Skills (knowledge packages in Markdown/YAML), the two pillars for effectively connecting LLMs to the outside world.
5. Human and Agentic Accessibility: The Same Path
Semantic HTML, correct ARIA attributes, and structured Schema.org (JSON-LD) data simultaneously improve the experience for screen readers and AI agents.
6. llms.txt: The Business Card for Agents
Stroncami.it also evaluates the presence and quality of /llms.txt and /llms-full.txt, the emerging standard that is becoming essential for interoperability with intelligent agents.
7. The AX Score (from 1 to 10)
The final result of the audit is the AX Score, a rating from 1 to 10 (like in school):
- 1-4: Agent-Hostile (strong resistance to automation)
- 5-7: Needs Improvement (works but with inefficiencies)
- 8-10: Agent-Ready (excellent readiness for the agentic era)
Conclusion
Optimizing a site for Agent Experience is no longer an option: it is a survival strategy and a competitive advantage in the Agentic Web. Domains that ignore semantics, structured metadata, and discovery protocols risk becoming invisible to AI agents.
Vicedomini Softworks accompanies you in this transformation with deep technical audits, AX-oriented refactoring, and sustainable architectures without vendor lock-in.
Ready to roast (and improve) your site?
→ Start an audit with Stroncami.it
→ Request technical consulting
Acknowledgments
A special thanks to Regolo.ai for the powerful models used behind the scenes, in particular Brick-v1-Beta, which made Stroncami.it's multi-agent architecture possible.