Chronicler – AI Chatbot Landing Page UX/UI Design

Victoria Lione

I am a UX UI and digital product designer. I design websites and apps. My goal is to help clients build amazing products through great design and technical performance.
I specialize in helping our clients build their online presence and grow their businesses through effective branding, Web & App Design. I am dedicated to crafting custom solutions that are tailored to your unique needs and goals.
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📍 Description

Chronicler is a sleek, conversion-focused landing page designed for an AI chatbot that integrates directly with WhatsApp, helping businesses automate their customer responses, support, and scheduling with ease.
The goal was to communicate the tool’s simplicity and power while providing a frictionless path to onboarding. From showcasing real use cases to leading with credibility and trust, the design makes it easy for users to understand what Chronicler offers and take immediate action.

🧠 UX Strategy

Structured around a single action funnel: explain → demonstrate → convert.
Highlighted chatbot use cases with icons and visual storytelling.
Embedded WhatsApp-style interactions to increase familiarity and trust.
Designed for fast scanning and mobile-first usage, aligned with messaging behavior.

🎨 UI Design

Clean and modern design with contrasting blocks and layered sections.
Messaging-inspired elements with rounded chat bubbles, icons, and user avatars.
Bright accent colors to highlight CTAs and create flow across the page.
Subtle animations and scroll transitions that reflect the speed and responsiveness of the product.

🛠️ Tools

Figma · Illustrator · Lottie (microinteractions) · Webflow-ready layout

✅ Outcome

An engaging, clear, and mobile-first landing page that positions Chronicler as a smart, reliable AI assistant for WhatsApp. Designed to convert curious visitors into active users—fast.
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Posted May 24, 2025

Landing page for AI chatbot that integrates with WhatsApp to automate replies. Clean UI, mobile-first, designed to convert leads into users in seconds.

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