Blieve.ai — Designing a Unified AI Creative Ecosystem

Product Designer (UI/UX)

Responsible for:

• UX strategy and workflow design
• UI/UX design across the platform
• AI tool experiences
• Authentication and onboarding flows
• Checkout and subscription experience
• Design consistency across products
• Responsive web experience
• Design explorations and interaction patterns

The project focused on creating a more connected AI ecosystem that felt:

• Easier to navigate
• Faster to learn
• More approachable for non-technical users
• More scalable for future AI tools
• More consistent across workflows

The goal was not only to introduce AI capabilities, but to simplify how users interact with them.

Blieve.ai was created to unify multiple AI-powered creative tools into one seamless platform experience.

Previously, users interacted with separate products that had disconnected workflows and inconsistent interfaces. The goal was to redesign the experience into a connected ecosystem where users could move naturally between generating, editing, transforming, and managing content without friction.

The platform includes:

• AI image generation
• AI effects
• AI headshots
• AI companion features
• Image-to-video workflows
• Creative asset management

I was responsible for designing the end-to-end product experience, including the platform structure, AI tools, onboarding experience, authentication flows, checkout process, and overall UI consistency.

Although the platform offered powerful AI capabilities, the experience initially felt fragmented across multiple tools and workflows.

Users often needed to:

• Switch between separate interfaces
• Relearn different interaction patterns
• Repeat actions across workflows
• Navigate overly complex settings
• Manage inconsistent user experiences

This created unnecessary friction and slowed down the creative process, especially for casual creators and non-technical users.

The challenge was not only introducing more AI features, but creating a smoother and more connected experience between them.

Instead of treating every AI feature as an isolated product, I focused on designing a unified workflow across the platform.

The experience was structured to help users move more naturally between:

• Generating
• Editing
• Enhancing
• Transforming
• Exporting

Key design directions included:

• Consistent UI patterns across all tools
• Simplified navigation and hierarchy
• Guided workflows for beginners
• Scalable layouts for future AI features
• Reduced cognitive load during creation
• Progressive disclosure for advanced settings

The goal was to make advanced AI tools feel more approachable, intuitive, and connected within a single ecosystem.

During the discovery phase, I reviewed how existing AI creative platforms structured their workflows, interactions, and feature hierarchy.

I also conducted competitor research to better understand:

• Navigation patterns
• Tool organization
• AI interaction models
• Content generation workflows
• User onboarding approaches

A common pattern quickly became clear:

• Many AI platforms were feature-heavy but disconnected
• Interfaces often became overwhelming very quickly
• Users cared more about outcomes than technical complexity
• Switching between tools disrupted creative momentum

One important insight was that users rarely think in terms of individual “tools.”

Instead, users think in terms of outcomes: “I want to create something quickly and easily.”

This shifted the design direction from feature-first to workflow-first.

The research focused on simplifying creative workflows while keeping the platform scalable for multiple AI-powered experiences.

Key observations included:

• Users preferred guided flows over complex dashboards
• Clear hierarchy reduced hesitation during creation
• Familiar interaction patterns improved confidence
• Progressive disclosure worked better for advanced controls
• Consistency across tools improved overall usability

The biggest opportunity was creating a connected ecosystem rather than designing every feature independently.

One of the biggest challenges was maintaining consistency across multiple AI tools while still allowing each feature to have its own flexibility and functionality.

Since the platform continuously evolved with new AI capabilities, the design system also needed to remain scalable enough to support future expansion without making the experience feel cluttered or overwhelming.

Balancing simplicity and flexibility became a key part of the design process throughout the project.

Multiple design directions were explored before finalizing the platform structure and workflow experience.

Explorations included:

• Tool-based navigation vs workflow-based navigation
• Minimal dashboard vs feature-heavy layouts
• Split preview layouts vs single canvas experiences
• Simplified controls vs advanced AI settings

The final direction focused on:

• Guided workflows
• Cleaner visual hierarchy
• Faster creation flow
• Reduced decision fatigue
• Better scalability for future tools

This helped create a more approachable experience while supporting a growing ecosystem of AI-powered features.

To maintain consistency across the platform, I established reusable UI patterns and scalable component structures that could support multiple AI workflows while keeping the experience visually cohesive.

This included:

• Consistent spacing and layout behavior
• Reusable card and modal patterns
• Unified form interactions
• Shared navigation structures
• Scalable component behaviors across tools

The system helped streamline future feature expansion while maintaining a familiar user experience across the platform.

The final design focused on clarity, consistency, and scalability across the platform.

Key design decisions included:

• Consistent layouts across AI tools
• Centralized creation experience
• Simplified onboarding and login flows
• Streamlined checkout experience
• Modular UI structure for future expansion
• Progressive disclosure for advanced settings

Every interface was designed to reduce friction and help users focus more on creating rather than learning complicated workflows.

The final platform created a more connected and scalable AI ecosystem that simplified workflows across multiple tools while improving consistency throughout the user experience.

By unifying previously separated experiences into a single platform, users could move through workflows more naturally without needing to constantly switch contexts or relearn interfaces.

The project also established a stronger design foundation that could scale alongside future AI features and product expansion.