Snipify AI - Website Design
Željko Milivojević
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Posted Dec 23, 2025
Designed a high-conversion website for Snipify AI emphasizing clarity and user understanding. Designed using Figma.
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Snipify AI — Website Design Case Study
Snipify AI is an AI-driven platform designed to extract, organize, and repurpose short, high-signal snippets from long-form content. The goal of the project was to design a website that communicates speed, clarity, and technical maturity, while remaining understandable to users without an AI or engineering background.
The core problem with existing tools in this category is not functionality but communication. Most platforms fail to explain what they do within the first few seconds. Their value propositions are vague, visually overloaded, and cognitively demanding, which creates friction before the user even considers the product.
The objective of this project was to design a high-conversion marketing website that makes the product immediately understandable, feels trustworthy and serious, and can scale visually as the platform evolves. Reducing cognitive load for first-time visitors was a primary constraint throughout the process.
Landing page section
I was responsible for the full design process, including information architecture, UX logic, visual direction, and final UI execution. The website was treated as a product interface rather than a traditional landing page.
The structure was built around a single narrative: long-form content is transformed into smart, reusable snippets. Instead of listing features, the site reveals information progressively, separating what the product does from how it works. This prevents early overload and keeps the user oriented at all times.
From a UX perspective, clarity above the fold was non-negotiable. The first screen delivers the value proposition without abstraction or marketing language. Decision paths were intentionally minimal, and the core value is reinforced multiple times using different cognitive formats such as headlines, diagrams, and short explanatory copy.
The visual direction is restrained and deliberate. A neutral base establishes trust, while subtle AI-accent colors and gradients signal intelligence without visual noise. Typography hierarchy does most of the work, guiding scanning and comprehension. Motion is used sparingly and only where it supports understanding, never as decoration.
The design system is grid-based and modular, allowing the interface to scale as features are added. High-contrast typography ensures readability, and components are designed for reuse rather than uniqueness.
Key sections include a hero area with a direct value proposition and primary action, a linear explanation of how the product works, concrete use cases focused on outcomes rather than features, and trust signals based on product logic instead of artificial testimonials. The call to action is intentionally calm and low-friction.
The final result positions Snipify AI as a focused, practical tool built for real workflows. The website prioritizes understanding first, conversion second, and branding third. This order is intentional and reflects a product-first design philosophy.
This project demonstrates the ability to translate abstract AI functionality into clear, usable interfaces, maintain strict control over hierarchy and cognitive flow, and favor long-term clarity over short-term visual trends.