Mind Studio AI
Mind Studio AI
Product Design
Mind Studio AI
Product Design
Focusing on scaling clarity and usability across the platform, this project addressed key friction points- from AI-powered report generation to the redesign of pricing models and feature matrices, as well as the restructuring of core UX flows- where a lack of cohesion had made it difficult for users to navigate, evaluate plans, and interpret agent outputs.
Company
Mind Studio AI
Role
Product Designer
Timeline
April 2025 - August 2025
Pricing Architecture
Focusing on scaling clarity and usability across the platform, this project addressed key friction points- from AI-powered report generation to the redesign of pricing models and feature matrices, as well as the restructuring of core UX flows- where a lack of cohesion had made it difficult for users to navigate, evaluate plans, and interpret agent outputs.
Company
Mind Studio AI
Role
REDESIGN OF AI AGENTS FRONT-END EXPERIENCE & UX/ UI BUSINESS ARCHITECTURE
Product Designer
Timeline
April 2025 - August 2025
Focusing on scaling clarity and usability across the platform, this project addressed key friction points- from AI-powered report generation to the redesign of pricing models and feature matrices, as well as the restructuring of core UX flows- where a lack of cohesion had made it difficult for users to navigate, evaluate plans, and interpret agent outputs.
Company
Mind Studio AI
Role
Product Designer
REDESIGN OF AI AGENTS FRONT-END EXPERIENCE & UX/ UI BUSINESS ARCHITECTURE
Timeline
April 2025 - August 2025
Pricing Architecture
Pricing Architecture
— Behind MindStudio AI
A no-code platform built for creating, deploying, and managing AI-native workflows. MindStudio empowers individuals and teams to build custom AI Agents that automate complex tasks with clarity, speed, and flexibility- blending the simplicity of no-code with the freedom of code.
— Clarity isn’t a feature. It’s architecture.
The pricing experience was rebuilt from the ground up to bring clarity, structure, and trust to MindStudio AI’s business model. The original plans were vague and hard to compare, offering no clear hierarchy or sense of value.
Through a full UX re-architecture, I mapped every tier and feature- defining what mattered most to different user types and simplifying the path to confident decision-making.
The new dual-layer design- pricing cards for quick scanning and a feature matrix for deeper comparison- transforms friction into confidence and replaces confusion with hierarchy.
The result is a scalable, minimal system that communicates value at a glance and supports MindStudio AI’s growth through a clean, user-first pricing flow.
Pricing Architecture
A tiered pricing model designed to clearly communicate value differences across plans, enabling users to quickly scan options and understand access levels without parsing dense information.
Dual- Layer Pricing System
Separated plan selection from detailed feature comparison, allowing users to move from high-level choice to deeper evaluation only when needed - reducing cognitive overload while preserving decision confidence.
RESULTS
The reimagined UX architecture clarified pricing tiers, feature offerings, and agent access- communicating platform value more effectively and aligning the product’s design system with MindStudio’s broader strategy.
— Behind the AI Agent Workflow
The original AI Agent experience lacked visual and structural elevation.
Despite its powerful capabilities, the interface felt outdated and underrepresented the intelligence of the product. This made the agent appear less capable than it truly was.
Because users often export and share these agent outputs- for presentations, research, or personal use- the experience needed to look as polished as it was functional. The challenge wasn’t just to simplify; it was to reimagine how the AI’s sophistication could be expressed through design.
The goal became to build a system that was structured, visually engaging, and reflective of MindStudio’s technological depth- enhancing both usability and perceived value.
— Clarity isn’t a feature. It’s architecture.
The redesign restructured the agent creation process into a three stage system- Input, Configuration, and Output.
Each step now builds on the previous one, guiding users through defining intent, mapping logic, and previewing outcomes with ease.
By introducing modular layouts and dynamic logic paths, the experience turns complexity into comprehension.
Users gain control over tone, perspective, and context- creating agents that reflect their unique workflows.
This foundation led to the redesigned Research Agent, now one of MindStudio’s most-utilized tools, enabling cross-functional teams to generate strategic, actionable insights with confidence.
— Behind MindStudio AI
— Behind MindStudio AI
A no-code platform built for creating, deploying, and managing AI-native workflows. MindStudio empowers individuals and teams to build custom AI Agents that automate complex tasks with clarity, speed, and flexibility- blending the simplicity of no-code with the freedom of code.
A no-code platform built for creating, deploying, and managing AI-native workflows. MindStudio empowers individuals and teams to build custom AI Agents that automate complex tasks with clarity, speed, and flexibility- blending the simplicity of no-code with the freedom of code.
— Clarity isn’t a feature. It’s architecture.
— Clarity isn’t a feature. It’s architecture.
The pricing experience was rebuilt from the ground up to bring clarity, structure, and trust to MindStudio AI’s business model. The original plans were vague and hard to compare, offering no clear hierarchy or sense of value.
Through a full UX re-architecture, I mapped every tier and feature- defining what mattered most to different user types and simplifying the path to confident decision-making.
The new dual-layer design- pricing cards for quick scanning and a feature matrix for deeper comparison- transforms friction into confidence and replaces confusion with hierarchy.
The result is a scalable, minimal system that communicates value at a glance and supports MindStudio AI’s growth through a clean, user-first pricing flow.
The pricing experience was rebuilt from the ground up to bring clarity, structure, and trust to MindStudio AI’s business model. The original plans were vague and hard to compare, offering no clear hierarchy or sense of value.
Through a full UX re-architecture, I mapped every tier and feature- defining what mattered most to different user types and simplifying the path to confident decision-making.
The new dual-layer design- pricing cards for quick scanning and a feature matrix for deeper comparison- transforms friction into confidence and replaces confusion with hierarchy.
The result is a scalable, minimal system that communicates value at a glance and supports MindStudio AI’s growth through a clean, user-first pricing flow.
Pricing Architecture
A tiered pricing model designed to clearly communicate value differences across plans, enabling users to quickly scan options and understand access levels without parsing dense information.
Dual- Layer Pricing System
Separated plan selection from detailed feature comparison, allowing users to move from high-level choice to deeper evaluation only when needed- reducing cognitive overload while preserving decision confidence.
Dual- Layer Pricing System
Separated plan selection from detailed feature comparison, allowing users to move from high-level choice to deeper evaluation only when needed — reducing cognitive overload while preserving decision confidence.
Pricing Architecture
A tiered pricing model designed to clearly communicate value differences across plans, enabling users to quickly scan options and understand access levels without parsing dense information.
RESULTS
The reimagined UX architecture clarified pricing tiers, feature offerings, and agent access, enabling clearer value communication and aligning the design system with MindStudio AI’s broader product strategy.
RESULTS
The reimagined UX architecture clarified pricing tiers, feature offerings, and agent access, enabling clearer value communication and aligning the design system with MindStudio AI’s broader product strategy.
AI Agents Redesign
AI Agents Redesign
AI Agents Redesign
— Behind the AI Agent Workflow
The original AI Agent experience lacked visual and structural elevation.
Despite its powerful capabilities, the interface felt outdated and underrepresented the intelligence of the product. This made the agent appear less capable than it truly was.
Because users often export and share these agent outputs - for presentations, research, or personal use - the experience needed to look as polished as it was functional. The challenge wasn’t just to simplify; it was to reimagine how the AI’s sophistication could be expressed through design.
The goal became to build a system that was structured, visually engaging, and reflective of MindStudio’s technological depth- enhancing both usability and perceived value.
— Clarity isn’t a feature. It’s architecture.
The redesign restructured the agent creation process into a three stage system- Input, Configuration, and Output.
Each step now builds on the previous one, guiding users through defining intent, mapping logic, and previewing outcomes with ease.
By introducing modular layouts and dynamic logic paths, the experience turns complexity into comprehension.
Users gain control over tone, perspective, and context - creating agents that reflect their unique workflows.
This foundation led to the redesigned Research Agent, now one of MindStudio’s most-utilized tools, enabling cross-functional teams to generate strategic, actionable insights with confidence.
01
Define Agent Output & Intent
Anchor agent creation around a clear, user-defined outcome.
02
Map Logic Configuration
Translate abstract rules into structured, modular logic paths.
03
Reimagine UX Interactions
Guide setup progressively through contextual prompts and previews.
04
Redesign Visual Language
Elevate hierarchy and focus to reflect system sophistication.
05
Deliver Clear Value Through UX
Ensure users feel oriented, confident, and in control at every step.
RESULTS
The redesign significantly increased adoption of the Research Agent, establishing it as one of MindStudio’s most-utilized tools. Clearer input guidance, structured logic configuration, and improved previews streamlined setup while increasing user confidence in outputs.
Try the Research Agent Redesign here.
— Behind the AI Agent Workflow
The original AI Agent experience lacked visual and structural elevation.
Despite its powerful capabilities, the interface felt outdated and underrepresented the intelligence of the product. This made the agent appear less capable than it truly was.
Because users often export and share these agent outputs - for presentations, research, or personal use - the experience needed to look as polished as it was functional. The challenge wasn’t just to simplify — it was to express the AI’s sophistication through a system that felt structured, intuitive, and intentional. The goal became to build a system that was structured, visually engaging, and reflective of MindStudio’s technological depth- enhancing both usability and perceived value.
— Clarity isn’t a feature. It’s architecture.
The redesign restructured the agent creation process into a three stage system- Input, Configuration, and Output.
Each step now builds on the previous one, guiding users through defining intent, mapping logic, and previewing outcomes with ease.
By introducing modular layouts and dynamic logic paths, the experience turns complexity into comprehension.
Users gain control over tone, perspective, and context - creating agents that reflect their unique workflows.
This foundation led to the redesigned Research Agent, now one of MindStudio’s most-utilized tools, enabling cross-functional teams to generate strategic, actionable insights with confidence.
01
Define Agent Output & Intent
Anchor agent creation around a clear, user-defined outcome.
02
Map Logic Configuration
Translate abstract rules into structured, modular logic paths.
03
Reimagine UX Interactions
Guide setup progressively through contextual prompts and previews.
04
Redesign Visual Language
Elevate hierarchy and focus to reflect system sophistication.
05
Deliver Clear Value Through UX
Ensure users feel oriented, confident, and in control at every step.
RESULTS
The redesign significantly increased adoption of the Research Agent, establishing it as one of MindStudio’s most-utilized tools. Clearer input guidance, structured logic configuration, and improved previews streamlined setup while increasing user confidence in outputs.
Try the Research Agent Redesign here.
01
Define Agent Output & Intent
Anchor agent creation around a clear, user-defined outcome.
02
Map Logic Configuration
Translate abstract rules into structured, modular logic paths.
03
Reimagine UX Interactions
Guide setup progressively through contextual prompts and previews.
04
Redesign Visual Language
Elevate hierarchy and focus to reflect system sophistication.
05
Deliver Clear Value Through UX
Ensure users feel oriented, confident, and in control at every step.
RESULTS
Try the Research Agent Redesign here
The redesign significantly increased adoption of the Research Agent, establishing it as one of MindStudio’s most-utilized tools. Clearer input guidance, structured logic configuration, and improved previews streamlined setup while increasing user confidence in outputs.