Mind Studio AI
Mind Studio AI
Product Design
Mind Studio AI
Product Design
REDESIGN OF AI AGENTS FRONT-END EXPERIENCE & UX/ UI BUSINESS ARCHITECTURE
Focusing 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
Focusing 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
— 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.
— Key outcomes
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Despite its powerful capabilities, the interface felt outdated and underrepresented the intelligence of the product.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
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.
— Key outcomes
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.
— Key outcomes
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.
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.
— Key outcomes
The redesign drove measurable impact across both user experience and product strategy. Adoption of the Research Agent increased significantly, making it one of the platform’s most-used tools. Simplified navigation and clearer input guidance streamlined agent setup, while improved logic configuration enhanced user confidence and output quality.
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 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.
— Key outcomes
The redesign drove measurable impact across both user experience and product strategy. Adoption of the Research Agent increased significantly, making it one of the platform’s most-used tools. Simplified navigation and clearer input guidance streamlined agent setup, while improved logic configuration enhanced user confidence and output quality.
Try the Research Agent Redesign here.
— Key outcomes
Try the Research Agent Redesign here
The redesign drove measurable impact across both user experience and product strategy. Adoption of the Research Agent increased significantly, making it one of the platform’s most-used tools. Simplified navigation and clearer input guidance streamlined agent setup, while improved logic configuration enhanced user confidence and output quality.
REDESIGN OF AI AGENTS FRONT-END EXPERIENCE & UX/ UI BUSINESS ARCHITECTURE