work
Product Design
Mind Studio AI
Designing for Clarity, Usability, and Scale
As Product Designer at MindStudio AI, I focus on scaling clarity and usability across the platform- from generating AI-powered reports to restructuring core UX flows. Key areas lacked cohesion and created friction for users navigating and interpreting agent outputs.
My role has centered on redesigning those experiences, shaping a more digestible, front-end interface while also rethinking the business UX architecture to better inform, support, and scale the product's evolving direction.
Industry
No‑code AI & workflow automation
Scope
Redesign of AI agent front-end experience & UX business architecture
Year
2025
From Complexity to Clarity
Content
UX Pricing Model Business Architecture
Restructuring the Pricing Model
Redesigned the pricing experience to introduce clarity, value, and scalability- transforming vague plan tiers into a structured UX flow that supports confident decision-making.
Challenge
The challenge was to redesign the pricing model for MindStudio AI and clearly introduce the perks and features associated with each plan. The original experience lacked clarity and structure- both visually and architecturally. The plans felt vague, disconnected, and hard to compare. There was no digestible system to understand the value of each tier.
My goal was to restructure the pricing experience into a UX that was intuitive, scannable, and grounded in clarity, without overwhelming the user.
How might we give users a clear first-glance view of each plan’s features, while keeping the breakdown seamless and easy to compare?
To begin, I mapped all plan tiers and features in Excel- surfacing patterns, overlaps, and gaps- giving me the strategic lens needed to approach this from both a business and user- first perspective.
Before- MindStudio AI’s original pricing lacked hierarchy, feature clarity, and comparison structure.
Thought Process & UX Structure
From the beginning, I knew this wasn’t just about updating the UI- it needed a full re-architecture of how pricing was communicated. Users couldn't quickly grasp value, and there was no structure guiding their decisions.
I mapped every existing plan and feature into Excel, grouped them by theme, and identified key differentiators for each tier. That helped define what truly mattered to different user types- and what could be left out of the spotlight.
Two guiding questions drove my solution:
→ How can we help users grasp value at a glance, without cognitive overload?
→ How can we support confident decision- making through a clean, guided structure?
Using these principles, I created a pricing experience that works in layer:
→ A high- level summary for fast scanning
→ A detailed breakdown for deeper comparison
Where UX Meets Clarity- Designing a UI That Builds Trust
Visually, the original page lacked cohesion, contrast, and consistency- none of which supported user trust. There was no system guiding how features should be presented or compared.
With the new design, I built a dual- layered interface:
Two guiding questions drove my solution:
→ Pricing Cards: for immediate clarity
→ Feature Breakdown Table
High-level Pricing Cards
High-level summary cards offer instant plan recognition and key benefits.
High- level Feature Chart
Deeper breakdown shows grouped features across tiers for full transparency.
I categorized all features into intuitive groups, including:
🧠 Agents Included- core allocation
⚙️ Core Features- what’s always available
🏗️ Building Tools- power features by tier
This structure makes the offering digestible, even for first-time users. The new layout is minimal, scalable, and built for growth- able to support future pricing shifts or feature additions without breaking flow.
The final design doesn’t just communicate pricing- it communicates product value with clarity, hierarchy, and intention.
Outcome
The new UX architecture turns friction into confidence. Users now understand what they’re paying for- and why. The flow is structured, the value is clear, and MindStudio AI is positioned to scale its pricing model with ease.
High-level Pricing Cards
High-level summary cards offer instant plan recognition and key benefits.
High- level Feature Chart
Deeper breakdown shows grouped features across tiers for full transparency.
→ View the live pricing experience here
UX Deep Dive- AI Agent Workflow
Designing for flow, speed, and human-AI interaction
A behind-the-scenes look at how I redesigned the full front-end experience of AI agents- simplifying complex inputs, enhancing usability, and creating a more elevated, outcome-focused interaction for users.
AI Agent Creation Walkthrough
This flow showcases the redesigned front-end experience for building custom agents- from configuring logic to previewing final outputs. The new UX streamlines each step of the creation process, turning a once-disconnected flow into an intuitive, cohesive journey.
Step 1- Define Agent Output & Intent
The original agent layout was cluttered and disjointed- creating friction for users trying to navigate or extract meaningful value from the output.
The goal was to define a structured flow that clearly communicates each agent’s purpose, while reducing cognitive load.
I began by dissecting the agent’s core logic and asking:
→ How can we create a scalable system that merges UX clarity with UI precision- so users can confidently use these agents across different needs?
This set the foundation for a flexible system that supports both agent customization and output comprehension, no matter the complexity.
Step 2- Map Logic Configuration
Introduced a modular, digestible layout to guide users through configuring complex agent behavior- clearly labeled, logically sequenced, and easy to scan.
This structure breaks the experience into three intuitive stages:
Input → Configuration → Output
The redesign surfaces agent logic as a step-by-step system, reducing overwhelm while enabling deeper customization.
Step 3- Reimagine UX Interactions
Reimagining interaction: Instead of static blocks, users now engage with dynamic logic paths that reveal opposing viewpoints in a conversational tone- ending with a CTA that encourages reflection.
This redesign wasn’t just visual- it restructured how users build trust in an AI’s logic and output.
Step 4- Deliver Clear Value Through UX
The redesigned system surfaces the value of each AI agent by guiding users through a clear, goal-oriented flow.
From output → configuration, the experience communicates what the agent does and how it helps- through a consistent, simplified interface that reflects the logic behind the technology.
The result: a UX that elevates trust, reduces guesswork, and brings clarity to complex capabilities.
The Research Agent
The Research Agent became one of MindStudio's most-utilized tools, facilitating cross-functional insights and deep discovery. The updated experience simplifies complex input mapping and provides users with precise control over tone, perspective, and context- enabling teams to generate strategic, actionable outputs that inform decision-making.
Before
After
Try the redesigned Research Agent live here
A visual snapshot of the AI Agent experience- showcasing improvements in clarity, usability, and a more modern, scalable design that elevates the overall user journey.
Before
After
Key Outcomes
Drove increased adoption of the Research Agent post-redesign- now one of the platform’s most-used tools.
Enhanced user navigation and experience during agent setup by simplifying layout, input guidance, and visual flow.
Improved user confidence through clearer logic configuration and more predictable, high-quality output results.
Reimagined the business-facing UX architecture to simplify navigation of pricing tiers, feature offerings, and agent access- giving users a clearer sense of platform value.
Aligned the new structure with product strategy, helping communicate MindStudio’s business model more effectively through design.
Impact & Ongoing Work
While I’m unable to share specific deliverables due to NDA, I’ve contributed to shaping a more intuitive and scalable design system- bridging technical functionality with a seamless user experience. The new direction aligns with the product’s evolving vision, improving usability, clarity, and user engagement.
MindStudio is evolving fast, and I'm continuing to lead UX/UI work across the platform- including scaling the design system, simplifying the user experience, and improving how users interact with and launch AI agents. As the product grows, so does the opportunity to make complex AI tools more approachable and surface the full value of what the platform offers.
From building frameworks to crafting interactions that drive clarity and confidence- this is what designing AI experiences at scale looks like.
Stay tuned as Mind Studio continues to revolutionize how teams build custom AI tools and automation- discover more here
Next Project
@ 2025 Valentina Gilly.
All rights reserved.
Product Design
Mind Studio AI
Industry
No‑code AI & workflow automation
Scope
Redesign of AI agent front-end experience & UX business architecture
Year
2025
As Product Designer at MindStudio AI, I focus on scaling clarity and usability across the platform- from generating AI-powered reports to restructuring core UX flows. Key areas lacked cohesion and created friction for users navigating and interpreting agent outputs.
My role has centered on redesigning those experiences, shaping a more digestible, front-end interface while also rethinking the business UX architecture to better inform, support, and scale the product's evolving direction.
UX Deep Dive- AI Agent Workflow
Designing for flow, speed, and human-AI interaction
From Complexity to Clarity
Featured Work at Mind Studio AI
Explore by
UX Pricing Model Business Architecture
Restructuring the Pricing Model
Redesigned the pricing experience to introduce clarity, value, and scalability- transforming vague plan tiers into a structured UX flow that supports confident decision-making.
Challenge
The challenge was to redesign the pricing model for MindStudio AI and clearly introduce the perks and features associated with each plan.
The original experience lacked clarity and structure both visually and architecturally. The plans felt vague, disconnected, and hard to compare. There was no digestible system to understand the value of each tier.
My goal was to restructure the pricing experience into a UX that was intuitive, scannable, and grounded with clarity without overwhelming the user.
→ How might we give users a clear first-glance view of each plan’s features, while keeping the breakdown seamless and easy to compare?
To begin, I mapped all plan tiers and features in Excel- surfacing patterns, overlaps, and gaps- giving me the strategic lens needed to approach this from both a business and user- first perspective.
Before- MindStudio AI’s original pricing lacked hierarchy, feature clarity, and comparison structure.
Thought Process & UX Structure
From the beginning, I knew this wasn’t just about updating the UI- it needed a full re-architecture of how pricing was communicated. Users couldn't quickly grasp the value, and there was no structure guiding their decisions.
I mapped every existing plan and feature into Excel, grouped them by theme, and identified key differentiators for each tier. That helped define what truly mattered to different user types- and what could be left out of the spotlight.
Two guiding questions drove my solution:
→ How can we help users grasp value at a glance, without cognitive overload?
→ How can we support confident decision- making through a clean, guided structure?
Using these principles, I created a pricing experience that works in layer:
A high- level summary for fast scanning
A detailed breakdown for deeper comparison
Where UX Meets Clarity- Designing a UI That Builds Trust
Visually, the original page lacked cohesion, contrast, and consistency- none of which supported user trust. There was no system guiding how features should be presented or compared.
Two guiding questions drove my solution:
→ Pricing Cards: for immediate clarity
→ Feature Breakdown Table
I categorized all features into intuitive groups, including:
🧠 Agents Included- core allocation
⚙️ Core Features- what’s always available
🏗️ Building Tools- power features by tier
This structure makes the offering digestible, even for first-time users. The new layout is minimal, scalable, and built for growth- able to support future pricing shifts or feature additions without breaking flow.
The final design doesn’t just communicate pricing- it communicates product value with clarity, hierarchy, and intention.
High-level Pricing Cards
High-level summary cards offer instant plan recognition and key benefits.
Deeper breakdown shows grouped features across tiers for full transparency.
High- level Feature Chart
Outcome
The new UX architecture turns friction into confidence. Users now understand what they’re paying for- and why. The flow is structured, the value is clear, and MindStudio AI is positioned to scale its pricing model with ease.
→ View the live pricing experience here
High-level Pricing Cards
High-level summary cards offer instant plan recognition and key benefits.
High- level Feature Chart
Deeper breakdown shows grouped features across tiers for full transparency.
Clarity → Scale
A visual snapshot of the AI Agent experience- showcasing improvements in clarity, usability, and a more modern, scalable design that elevates the overall user journey.
After
Before
AI Agent Creation Walkthrough
This flow showcases the redesigned front-end experience for building custom agents- from configuring logic to previewing final outputs. The new UX streamlines each step of the creation process, turning a once-disconnected flow into an intuitive, cohesive journey.
Step 1- Define Agent Output & Intent
The original agent layout was cluttered and disjointed- creating friction for users trying to navigate or extract meaningful value from the output.
The goal was to define a structured flow that clearly communicates each agent’s purpose, while reducing cognitive load.
Step 2- Map Logic Configuration
Introduced a modular, digestible logic layout to guide users through configuring complex behavior- clearly labeled, sequenced, and easier to scan.
Input -> Configuration -> Output
Step 3- Reimagine UX Interactions
Reimagining interaction: Instead of static blocks, users now engage with dynamic logic paths that reveal opposing viewpoints in a conversational tone- ending with a CTA that encourages reflection.
Step 4- Deliver Clear Value Through UX
The redesigned system surfaces the value of each AI agent by guiding users through a clear, goal-oriented flow.
From output → configuration, the experience communicates what the agent does and how it helps- through a consistent, simplified interface that reflects the logic behind the technology.
The result: a UX that elevates trust, reduces guesswork, and brings clarity to complex capabilities.
These design decisions laid the foundation for future agents- including the high-impact Research Agent featured next.
After
Before
The Research Agent became one of MindStudio's most-utilized tools, facilitating cross-functional insights and deep discovery. The updated experience simplifies complex input mapping and provides users with precise control over tone, perspective, and context- enabling teams to generate strategic, actionable outputs that inform decision-making.
Try the redesigned Research Agent live here
Impact & Ongoing Work
While I’m unable to share specific deliverables due to NDA, I’ve contributed to shaping a more intuitive and scalable design system- bridging technical functionality with a seamless user experience. The new direction aligns with the product’s evolving vision, improving usability, clarity, and user engagement.
MindStudio is evolving fast, and I'm continuing to lead UX/UI work across the platform- including scaling the design system, simplifying the user experience, and improving how users interact with and launch AI agents. As the product grows, so does the opportunity to make complex AI tools more approachable and surface the full value of what the platform offers.
Key Outcomes
Increased adoption of the Research Agent after launch- now one of the most-used tools on the platform
Drove increased adoption of the Research Agent post-redesign- now one of the platform’s most-used tools.
Enhanced user navigation and experience during agent setup by simplifying layout, input guidance, and visual flow.
Improved user confidence through clearer logic configuration and more predictable, high-quality output results.
Reimagined the business-facing UX architecture to simplify navigation of pricing tiers, feature offerings, and agent access- giving users a clearer sense of platform value.
Aligned the new structure with product strategy, helping communicate MindStudio’s business model more effectively through design.
From building frameworks to crafting interactions that drive clarity and confidence- this is what designing AI experiences at scale looks like.
Stay tuned as Mind Studio continues to revolutionize how teams build custom AI tools and automation- discover more here
@ 2025 Valentina Gilly.
All rights reserved.