Automated website scanning
Crawls live pages of leading travel and eCommerce sites, capturing DOM and visible UI, including timers and pop-ups.
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Case study · UX Compliance / AI Auditing
Exposing manipulative UX before it reaches users.
An agentic auditing platform that scans live websites, detects deceptive design patterns and produces explainable reports for compliance, UX and legal teams.
- Client
- Dark Patterns Laboratory
- Industry
- UX Compliance / AI Auditing
- Delivery
- SaaS platform and AI agent infrastructure
- Capability
- AI Agents & Automation
The challenge
What Dark Patterns Laboratory was up against.
High-traffic travel and booking sites often use subtle pressure tactics such as fake scarcity, false urgency and confirm-shaming. They are dynamic and hard to prove, and manual audits don’t scale.
- Fake scarcity and misleading urgency
- Countdown timers creating false pressure
- Confirm-shaming messages
- Intent hard to prove from screenshots
The solution
What we built.
Skugal built a platform that uses LLMs and autonomous agents to analyse text and UI context, turning subjective UX concerns into structured, explainable findings.
LLM pattern detection
Prompt-engineered classification of scarcity, urgency, confirm-shaming and pressure nudges, interpreting intent rather than keywords.
Agentic analysis workflow
Separate agents for extraction, analysis, validation and explanation improve accuracy and auditability.
Explainable audit reports
What was flagged, why, and how it maps to published UX research, written for non-technical stakeholders.
How it works
From input to outcome.
- Website crawl
- Content & DOM extraction agent
- LLM pattern analysis agent
- Validation & classification agent
- Explanation & report agent
Business impact
What changed.
Dark Patterns Laboratory now runs a scalable AI auditing system that monitors high-traffic websites and flags deceptive UX before it goes unnoticed.
Technology
- LLM classification
- Web crawling & DOM capture
- Multi-step agent pipeline
- Report generation
- Dramatically less manual UX audit effort
- Pre-launch compliance checks for businesses
- Evidence-backed explanations for regulators
- More transparency in high-impact consumer journeys
Manipulative design thrives in ambiguity. This platform brings clarity at scale.
Next step
Have a similar challenge?
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.