Agentic AI Cursor Design for Mues AI

B2B SaaS companies face a critical paradox: their products are becoming increasingly powerful, yet user adoption and retention continue to decline. The industry loses $4.6 billion annually in productivity gaps between software capability and user adoption.

High churn from complex onboarding — steep learning curves cause early disengagement

Slow product adoption — users can't quickly understand or utilize new features

Underutilized capabilities — customers fail to discover the full value of their tools

Technical barriers — non-technical users struggle with workflow automation

Escalating support costs — companies invest heavily in training resources, averaging $82,341 per year in support worker costs

The average B2B SaaS company with $10M ARR loses $385,000 annually due to these friction points.

To create a world where software adapts to humans, not humans to software — making every user a power user through AI-driven assistance.

As Lead Designer, I led the entire design process from concept to launch, working closely with engineering and product teams to create a completely novel interaction paradigm. This wasn't about improving existing patterns — it was about inventing a new way for humans to interact with software.

Rather than adding another layer of UI complexity, Mues AI transforms the user's existing cursor into an intelligent agent. Users type what they need in natural language, and the AI cursor takes over — navigating interfaces, filling forms, creating workflows, and executing complex multi-step tasks.

1. Invisible Integration The AI operates directly within any web application without requiring custom integrations or disrupting existing UI patterns. Users don't need to switch contexts or learn new interfaces.

2. Natural Language First No special commands or syntax — users describe tasks in everyday language. The AI interprets intent and executes accordingly.

3. Process Learning by Observation The cursor watches user actions to understand workflows, enabling it to replicate and optimize processes without manual configuration.

4. Transparent AI Actions Real-time visual feedback shows exactly what the AI is doing, building trust through visibility and control.

5. Seamless UI Adaptation The AI learns from user actions instantly, adapting to interface changes even before documentation is updated.

Onboarding Automation

Intelligent Task Execution

Customer Support Integration

Workflow Automation

Solution: Designed a comprehensive feedback system showing AI progress, decision-making, and allowing users to pause or reverse actions at any time. Visual cues indicate what the AI is "thinking" and "doing."

Solution: Created a layered interaction model where users can choose their level of involvement — from fully automated to step-by-step guided experiences.

Solution: Developed adaptive design patterns that work universally across web applications, from CRMs to project management tools to analytics platforms.

Solution: Through extensive testing and iteration, identified the interaction patterns that felt most intuitive to users, even though they had never experienced anything like it before.

Users were thrilled with the new design flow and improved cursor efficiency. Key feedback themes:

"It's like having a knowledgeable colleague showing you how to use the app"

"Mues precisely targets our support pain points by guiding users through product features"

"For our small business users with limited tech skills, this guided experience would be transformative"

Successfully launched MVP in June 2025

Secured first paying B2B SaaS customer immediately post-launch

Validated with 120 product and support professionals during development

Built a product that addresses real pain points with measurable ROI

Created a differentiated product in a crowded market

Enabled a scalable B2B2C business model

Positioned Mues AI as a pioneer in agentic software interaction