Solo creators—such as independent Etsy sellers, Canva brand designers, and Medium writers—often juggle multiple platforms, causing context-switching fatigue and overlooked accessibility/SEO best practices.
Designed and tested AI “copilot” experiences across Etsy, Canva, and Medium that provide explainable, editable, and ethical assistance for pricing, branding, and writing tasks.



Conducted sessions with 6 solo creators (Etsy sellers, designers, writers) to observe real-world tasks and gather firsthand feedback.

Tasks Observed






Mapped out end-to-end processes for product listing, branding, and writing, identifying where context-switching and manual effort were highest.

Audited current practices for alt text, color contrast, reading level, and SEO tagging to pinpoint where best practices were being missed.
Clustered pains into themes: context-switching fatigue, accessibility gaps, uncertainty, AI explainability, and ethics.

Extracted insights from qualitative data, surfacing recurring challenges and opportunities for improvement across Etsy, Canva, and Medium.

Explored pricing wizards, brand kits, and writing assist flows with “why this” explanations.
Mapped risks to mitigations.

Mapped prompt → assist → publish journeys and highlighted decision points.
Built explainability panels, accessibility checks, and editable output chips across 3 platforms.

Baseline vs AI-assisted (n=6). Measured time, steps, trust, accessibility coverage.

Clarified “why” panels, tuned edit controls, improved SEO/alt-text nudges based on feedback.
As a solo creator, I run a small Etsy shop selling digital pixel-art assets, design my own visual branding in Canva, and write Medium articles to share my UX reflections. Each of these platforms requires me to repeat manual tasks—from pricing to layout tweaking to rewriting headlines—with no help across tools. This project was deeply personal: I wanted to see if AI could truly empower creators like myself, not just by speeding up work, but by making it more accessible, ethical, and enjoyable.
Working on this case study taught me that designing AI for creators isn’t just about automation—it’s about scaffolding creativity and providing emotional relief. I learned that transparency and explainability are essential for building trust, and that accessibility features (like alt-text and reading level checks) can make a real difference in everyday workflows.
I also realized the importance of ethical design: AI should support decision-making and respect the creator’s voice, not overwrite it. Through iterative testing and feedback, I saw firsthand how thoughtful design can transform the experience for solo creators, making their work not only faster but more meaningful.