Artus AI

Introduction

Artus AI was one of the strongest product tracks inside my Minds Tek AI work, where I delivered onboarding, dashboard, and insights flows for an AI-assisted SaaS experience. The product was in active development, which meant the interface system needed to scale with new features rather than require redesigns every sprint.

Problem Statement

The product needed an interface system that could guide new users clearly through onboarding, support API-connected personalization inside the dashboard, and keep AI-related features understandable instead of overwhelming. Building these surfaces as one-off pages was not sustainable — the team needed reusable patterns they could extend.

Scope

Onboarding journeys, dashboard modules, insights screens, tier-aware product flows, and reusable interface patterns across a growing SaaS product. The work involved both designing the component system and delivering the actual screens that used it.

Target Audience

Users moving through onboarding and recurring product usage inside an AI-assisted SaaS workflow — from first-time sign-up through regular dashboard use and insights consumption.

Functional Requirements

• Multi-step onboarding flow with progress tracking and validation
• Dashboard and insight views tied to user state and subscription tier
• Tier-aware product experiences with conditional feature access
• Reusable UI patterns and component shells across all product views
• REST API integration for personalized dashboard data

Challenges

• Presenting AI-related features in a way that stayed clear for users without domain expertise
• Keeping onboarding guided without making it feel heavy or overwhelming for new users
• Building reusable patterns that worked across multiple product surfaces without becoming too generic
• Supporting personalized experiences through API-connected flows where data could affect layout and content

Solution

I translated product designs into modular React interfaces, shaped the experience around guided user journeys, and used reusable screen patterns so onboarding, dashboards, and insight views stayed consistent as the product expanded. The component system was built so new insight widgets could land without redesigning the surrounding page structure.

Technical Overview

React-based product UI with Tailwind CSS, REST API integration, reusable components, and structured page flows built for onboarding, dashboards, and insight delivery. Tier-aware rendering was handled through a context layer that exposed the user's plan state to any component that needed it. Client repositories remain private per NDA.

Advantages

• Faster delivery across onboarding and product surfaces because new features slot into existing shells
• Reusable patterns reduced duplication and rework between sprints
• Stronger structure for onboarding and insights made the product feel polished from day one
• More consistent API-connected user journeys across the main product flow

Limitations

• AI-driven screens require ongoing UX refinement as the underlying models and outputs change
• Personalization increases component and state complexity — more conditional paths means more test cases

Outcome

The product gained clearer onboarding, more maintainable screen patterns, and stronger delivery consistency across the main user journey. Reusable shells meant new insight widgets could land in days instead of re-sketching entire pages. The component system became the foundation the team built new product surfaces on top of.

Key Learnings

• Structured onboarding has a direct impact on product activation — users who understand the first three steps are far more likely to reach the core feature
• Reusable screen patterns make SaaS delivery much faster once the investment is made upfront
• AI product flows need clarity before feature density — showing less and explaining it well beats showing everything at once