Person
Person

2025

Makiverse

Makiverse

Makiverse focuses on multi-step AI image generation for consistent anime-style characters, manga panels, dialogue, and props.

AI

Entertainment

Project Overview

Designing the future of AI Story-telling.

Summary

At the intersection of AI and narrative design, I led product design for Makiverse and CRP; two interlinked platforms redefining how people create, personalize, and evolve characters and stories through generative AI. As the sole designer across both products, I was responsible for building an intuitive, scalable design system that empowered users to co-create alongside machine learning models.

The Problem

AI image generation tools were powerful, but lacked structure and consistency. Users couldn’t easily create persistent characters, manage inventory, build scenes, or control style evolution. Existing workflows were linear, opaque, and optimized for one-off outputs, not storytelling or world-building.

Key Frictions
  • No continuity across generations ("every output looked like a different person")

  • Complex systems (LoRA, tiered outputs) overwhelmed non-technical users

  • Lack of contextual UI made advanced features feel inaccessible

  • Generation > interaction loop was broken

  • Users couldn’t combine characters, props, and dialogue into narrative scenes

Character Generation

Design Goals

Design Goals

  • Design an end-to-end generation pipeline users can trust and re-use

  • Enable consistent characters and inventory-like props for reusability

  • Build tools to generate full manga panels with character placement, layout control, and dialogue

  • Clarify ML model behavior with transparent UX (LoRA, tier tiers, failures)

  • Support both novice and power users across web + mobile

  • Establish monetization and reward systems that align with creative goals

Design

Design

Multi-Step Generation Flow

A modular UX for generating AI images, broken into:

  • Prompt input

  • Reference image upload

  • LoRA training (user-selected)

  • Tiered generation (speed, quality, cost)

Each step was progressively disclosed, with feedback on model behavior, generation time, and expected fidelity. This helped reduce cognitive overload while increasing success rates.

Consistent Characters & Identity Management

Designed a character sheet system enabling users to create, evolve, and re-use unique characters across generations.

  • Persistent identity tagging (style, genre, traits)

  • Character portrait system embedded into the generation UI

  • Real-time preview of character-consistent outputs

Prop & Inventory UX

Inspired by RPG loadouts, I created a system for users to design, assign, and organize character props. Each prop was AI-generated and visually attached to a specific character.

  • Users click the “+ Prop” button per character to trigger a secondary generation flow

  • Props displayed in a horizontal scrollable toolbar tied to the selected character

  • Visual inventory states (active, assigned, unassigned)

Manga Panel & Dialogue Generation

Extended the image generation system to support dynamic, panel-based storytelling. Users can select from previously generated characters, assign dialogue, and prompt the model to generate full manga-style scenes.

  • Users select one or more characters from their roster

  • Input a scene prompt describing action, emotion, or environment

  • Add optional dialogue to guide tone or speech bubbles

  • System generates a full panel using AI, factoring character consistency, pose, and prop data

Checkout & Monetization Redesign

CRP featured purchasable generation tiers, diamonds, and reward mechanics. I overhauled the entire purchase flow to reduce friction.

  • Redesigned G2A integration for purchasing credits

  • Clarified diamond pack contents and tier benefits

  • Streamlined modal redemption flow post-purchase

Gamified Reward Systems

To increase retention and engagement, I built a badge and leveling system that rewarded creativity, consistency, and frequency.

Progression Theme:

Artistic mastery. Levels reflect creative identity (e.g. "Sketchling" to "Digital Muse")

Visual System:

Badges evolved in color, texture, and aura—culminating in a signature pink chroma at Level 100.

Consistent Item Sheet Generation

Impact

Impact

Impact
  • Reframed image generation from a one-off novelty into a reusable storytelling tool

  • Brought clarity to LoRA and inference tiers through UI metaphors and affordances

  • Created the foundation for a cross-platform, character-centric generative AI ecosystem

  • Enabled users to build full manga scenes with characters, props, layouts, and dialogue

Makiverse and CRP taught me how to shape design systems that don’t just serve function, they scaffold imagination. Designing for AI means designing for uncertainty, iteration, and trust. By architecting structured, expressive interfaces, I helped users move from generation... to creation... to narrative.


This is the future of storytelling. and I’m proud to be building it.

Manga Setup & Panel Generation

LoRA Training

More Works

(truo® — 02)

©2025

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(truo® — 02)

©2025

Pump Pals

2024

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NestEgg

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Person
Person

2025

Makiverse

Makiverse focuses on multi-step AI image generation for consistent anime-style characters, manga panels, dialogue, and props.

AI

Entertainment

Project Overview

Designing the future of AI Story-telling.

Summary

At the intersection of AI and narrative design, I led product design for Makiverse and CRP; two interlinked platforms redefining how people create, personalize, and evolve characters and stories through generative AI. As the sole designer across both products, I was responsible for building an intuitive, scalable design system that empowered users to co-create alongside machine learning models.

The Problem

AI image generation tools were powerful, but lacked structure and consistency. Users couldn’t easily create persistent characters, manage inventory, build scenes, or control style evolution. Existing workflows were linear, opaque, and optimized for one-off outputs, not storytelling or world-building.

Key Frictions
  • No continuity across generations ("every output looked like a different person")

  • Complex systems (LoRA, tiered outputs) overwhelmed non-technical users

  • Lack of contextual UI made advanced features feel inaccessible

  • Generation > interaction loop was broken

  • Users couldn’t combine characters, props, and dialogue into narrative scenes

Character Generation

Design Goals

  • Design an end-to-end generation pipeline users can trust and re-use

  • Enable consistent characters and inventory-like props for reusability

  • Build tools to generate full manga panels with character placement, layout control, and dialogue

  • Clarify ML model behavior with transparent UX (LoRA, tier tiers, failures)

  • Support both novice and power users across web + mobile

  • Establish monetization and reward systems that align with creative goals

Design

Multi-Step Generation Flow

A modular UX for generating AI images, broken into:

  • Prompt input

  • Reference image upload

  • LoRA training (user-selected)

  • Tiered generation (speed, quality, cost)

Each step was progressively disclosed, with feedback on model behavior, generation time, and expected fidelity. This helped reduce cognitive overload while increasing success rates.

Consistent Characters & Identity Management

Designed a character sheet system enabling users to create, evolve, and re-use unique characters across generations.

  • Persistent identity tagging (style, genre, traits)

  • Character portrait system embedded into the generation UI

  • Real-time preview of character-consistent outputs

Prop & Inventory UX

Inspired by RPG loadouts, I created a system for users to design, assign, and organize character props. Each prop was AI-generated and visually attached to a specific character.

  • Users click the “+ Prop” button per character to trigger a secondary generation flow

  • Props displayed in a horizontal scrollable toolbar tied to the selected character

  • Visual inventory states (active, assigned, unassigned)

Manga Panel & Dialogue Generation

Extended the image generation system to support dynamic, panel-based storytelling. Users can select from previously generated characters, assign dialogue, and prompt the model to generate full manga-style scenes.

  • Users select one or more characters from their roster

  • Input a scene prompt describing action, emotion, or environment

  • Add optional dialogue to guide tone or speech bubbles

  • System generates a full panel using AI, factoring character consistency, pose, and prop data

Checkout & Monetization Redesign

CRP featured purchasable generation tiers, diamonds, and reward mechanics. I overhauled the entire purchase flow to reduce friction.

  • Redesigned G2A integration for purchasing credits

  • Clarified diamond pack contents and tier benefits

  • Streamlined modal redemption flow post-purchase

Gamified Reward Systems

To increase retention and engagement, I built a badge and leveling system that rewarded creativity, consistency, and frequency.

Progression Theme:

Artistic mastery. Levels reflect creative identity (e.g. "Sketchling" to "Digital Muse")

Visual System:

Badges evolved in color, texture, and aura—culminating in a signature pink chroma at Level 100.

Consistent Item Sheet Generation

Impact

Impact
  • Reframed image generation from a one-off novelty into a reusable storytelling tool

  • Brought clarity to LoRA and inference tiers through UI metaphors and affordances

  • Created the foundation for a cross-platform, character-centric generative AI ecosystem

  • Enabled users to build full manga scenes with characters, props, layouts, and dialogue

Makiverse and CRP taught me how to shape design systems that don’t just serve function, they scaffold imagination. Designing for AI means designing for uncertainty, iteration, and trust. By architecting structured, expressive interfaces, I helped users move from generation... to creation... to narrative.


This is the future of storytelling. and I’m proud to be building it.

Manga Setup & Panel Generation

LoRA Training

More Works

(truo® — 02)

©2025

Pump Pals

2024

Blockchain

Trading Card Game

NestEgg

2024

Blockchain

Mobile Game

Person
Person

2025

Makiverse

Makiverse focuses on multi-step AI image generation for consistent anime-style characters, manga panels, dialogue, and props.

AI

Entertainment

Project Overview

Designing the future of AI Story-telling.

Summary

At the intersection of AI and narrative design, I led product design for Makiverse and CRP; two interlinked platforms redefining how people create, personalize, and evolve characters and stories through generative AI. As the sole designer across both products, I was responsible for building an intuitive, scalable design system that empowered users to co-create alongside machine learning models.

The Problem

AI image generation tools were powerful, but lacked structure and consistency. Users couldn’t easily create persistent characters, manage inventory, build scenes, or control style evolution. Existing workflows were linear, opaque, and optimized for one-off outputs, not storytelling or world-building.

Key Frictions
  • No continuity across generations ("every output looked like a different person")

  • Complex systems (LoRA, tiered outputs) overwhelmed non-technical users

  • Lack of contextual UI made advanced features feel inaccessible

  • Generation > interaction loop was broken

  • Users couldn’t combine characters, props, and dialogue into narrative scenes

Character Generation

Design Goals

  • Design an end-to-end generation pipeline users can trust and re-use

  • Enable consistent characters and inventory-like props for reusability

  • Build tools to generate full manga panels with character placement, layout control, and dialogue

  • Clarify ML model behavior with transparent UX (LoRA, tier tiers, failures)

  • Support both novice and power users across web + mobile

  • Establish monetization and reward systems that align with creative goals

Design

Multi-Step Generation Flow

A modular UX for generating AI images, broken into:

  • Prompt input

  • Reference image upload

  • LoRA training (user-selected)

  • Tiered generation (speed, quality, cost)

Each step was progressively disclosed, with feedback on model behavior, generation time, and expected fidelity. This helped reduce cognitive overload while increasing success rates.

Consistent Characters & Identity Management

Designed a character sheet system enabling users to create, evolve, and re-use unique characters across generations.

  • Persistent identity tagging (style, genre, traits)

  • Character portrait system embedded into the generation UI

  • Real-time preview of character-consistent outputs

Prop & Inventory UX

Inspired by RPG loadouts, I created a system for users to design, assign, and organize character props. Each prop was AI-generated and visually attached to a specific character.

  • Users click the “+ Prop” button per character to trigger a secondary generation flow

  • Props displayed in a horizontal scrollable toolbar tied to the selected character

  • Visual inventory states (active, assigned, unassigned)

Manga Panel & Dialogue Generation

Extended the image generation system to support dynamic, panel-based storytelling. Users can select from previously generated characters, assign dialogue, and prompt the model to generate full manga-style scenes.

  • Users select one or more characters from their roster

  • Input a scene prompt describing action, emotion, or environment

  • Add optional dialogue to guide tone or speech bubbles

  • System generates a full panel using AI, factoring character consistency, pose, and prop data

Checkout & Monetization Redesign

CRP featured purchasable generation tiers, diamonds, and reward mechanics. I overhauled the entire purchase flow to reduce friction.

  • Redesigned G2A integration for purchasing credits

  • Clarified diamond pack contents and tier benefits

  • Streamlined modal redemption flow post-purchase

Gamified Reward Systems

To increase retention and engagement, I built a badge and leveling system that rewarded creativity, consistency, and frequency.

Progression Theme:

Artistic mastery. Levels reflect creative identity (e.g. "Sketchling" to "Digital Muse")

Visual System:

Badges evolved in color, texture, and aura—culminating in a signature pink chroma at Level 100.

Consistent Item Sheet Generation

Impact

Impact
  • Reframed image generation from a one-off novelty into a reusable storytelling tool

  • Brought clarity to LoRA and inference tiers through UI metaphors and affordances

  • Created the foundation for a cross-platform, character-centric generative AI ecosystem

  • Enabled users to build full manga scenes with characters, props, layouts, and dialogue

Makiverse and CRP taught me how to shape design systems that don’t just serve function, they scaffold imagination. Designing for AI means designing for uncertainty, iteration, and trust. By architecting structured, expressive interfaces, I helped users move from generation... to creation... to narrative.


This is the future of storytelling. and I’m proud to be building it.

Manga Setup & Panel Generation

LoRA Training

More Works

©2025

Pump Pals

2024

Blockchain

NestEgg

2024

Blockchain