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UX Case Study · AI-Native Social OS

Ge-on — The Next In Social

Ge-on is an operating system for AI-native communities. Over a focused 4-month engagement, I contributed as a UX Designer to shape the core platform experience, from modular community structures to AI-native workflows that help creators, brands, and communities truly own and scale their social ecosystems.

Ge-on case study cover
Client

Ge-on

Role

UX Designer

Duration

4 Months

01. Overview — What is Ge-on?

Ge-on is an operating system for AI-native communities. It empowers creators, brands, and communities to build, own, and scale bespoke social ecosystems using modular AI infrastructure.

Rather than being another “rented” social platform, Ge-on acts as the underlying layer: a customizable, AI-native social-tech stack where creators and communities own their data, audience, and monetization.

02. The Problem — Life on Rented Platforms

Creators and brands today rely heavily on rented platforms like Instagram, YouTube, TikTok, and X. This dependence creates structural pain points:

  • Followers and reach can drop overnight due to opaque algorithms or policy changes.
  • No true ownership of content, data, or distribution on rented platforms.
  • Content volume expectations keep rising to stay visible and relevant.
  • Each platform demands its own optimization strategy, increasing complexity and workload.
  • Without strong analytics, creators lose insight into what really works.
  • Limited access to AI workflow tools that could reduce costs and increase monetization.

The core insight: creators don’t just need better content tools—they need their own ownable social operating system.

03. Vision — The Next In Social

The vision of Ge-on is to re-architect social from “rented channels” to “owned ecosystems”. The platform serves the creator economy: creators, brands, and consumers who want deeper, more authentic community spaces.

Ge-on’s core values directly shaped my UX decisions:

  • Empowerment: Creators fully own their digital spaces, content, and data.
  • Authenticity: Designed for meaningful interactions, not just vanity metrics.
  • Innovation: AI-native, modular tools that adapt to different community needs.
  • Privacy & Ethical AI: Privacy-first, user-controlled AI built into every layer.
  • Community-First: Architecture that centers collaboration and shared ownership.
  • Transparency: Clear communication around how data and AI decisions work.
  • Fair Monetization: Direct monetization for creators without hidden cuts.

04. My Role — UX Designer, Platform Experience

Across four months, I worked as a UX Designer focused on platform experience, collaborating with product and engineering to translate the Ge-on vision into concrete flows, structures, and components.

a. Foundation UX Architecture

  • Mapped the ecosystem for creators, communities, and consumers across the platform.
  • Defined initial information architecture for the “AI-native community OS”.
  • Designed modular layouts for community spaces, channels, and dashboards.

b. AI-Native Workflows & Tools

  • Explored UX for AI-assisted content creation, automation, and moderation workflows.
  • Designed early flows for AI workflow builders that help creators automate repetitive tasks.
  • Considered data visibility and privacy layers in every AI interaction.

c. Community Interaction & Engagement

  • Created journeys for onboarding creators and their audiences into new community spaces.
  • Defined engagement patterns around posts, discussions, events, and micro-communities.
  • Designed monetization touchpoints aligned with direct, fair, creator-first revenue.

d. Design System Kickstart

  • Established baseline grids, spacing rules, and typography hierarchy.
  • Created reusable components to support rapid iteration on new features.

05. Outcomes — What This Work Enabled

Within a short 4-month window, the work focused on clarity, foundations, and scalability rather than heavy visual polish. Key outcomes included:

  • A clear UX direction for Ge-on as an AI-native community OS.
  • Modular layouts and components that reduced redundancy and complexity in screen design.
  • Unified flows for creators, communities, and consumers that aligned with platform values.
  • A design foundation that product and engineering could extend into deeper AI features.

Homepage Creation

About

Explore

App/Widgets Creation

Community Creation

06. Reflection — Designing the Future of Social

Ge-on helped me think beyond traditional “single app” social products and towards infrastructure-level social design. A few key learnings:

  • Designing for AI-driven ecosystems requires flexible, future-proof structures.
  • Privacy and ownership principles fundamentally reshape standard UX patterns.
  • Community-first design balances the needs of individuals with the health of the whole network.
  • Modular systems are essential for teams who want to move fast without losing coherence.

Ge-on shaped my understanding of the future of social: a world where creators own the platform, not the other way around.

Strategic UX Designer

My name is Anchit, and I'm a designer.

I specialized in User Experience Design while pursuing a Master of Design degree at Nift in Delhi, combining design principles with research methodologies to create meaningful and user-first solutions.
I've gained hands-on experience designing business strategies and user interfaces for design teams, and I'm familiar with industry-standard design tools like Figma and Adobe Creative Suite, allowing me to bring a combination of creativity and technical proficiency to my work.

We are living in an interesting time; so much is happening in our world right now. I am ready to cherish the moments of innovation. Let's design responsibly to improve our world.

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