Rebind

Rebind: AI-Powered e-Reading Platform

Custom Software Development
Solution Architecture & Tech Advisory
Industry:
Entertainment
Location:
USA
Period of Collaboration:
May 2023 – ongoing
System components:
AI chat with experts
X-ray mode shows content sources
Smart highlighting for notes
Language switch for classic text
Video intros for chapters
Rebind logo
Think of Rebind as a mindfulness app for deep reading, guided by the world’s most interesting people. Rebind challenges you to engage with a book in a whole new way.
Rebind.ai

A new way to experience classic literature

Rebind company approached Mind Studios with the idea of transforming how people engage with classic literature.

Their vision was to turn solitary reading into a guided, interactive experience, combining long-form texts with AI-driven conversation and curated commentary from some of the world’s most fascinating thinkers.

Building a meaningful reading experience

Our main goal was making an AI-based eBook reader and transforming Rebind’s concept into a fully functional, web-based e-reading platform that redefines how users interact with classic literature. We developed a responsive system that combines three critical elements: long-form book content, AI-powered interactive conversations, and original video storytelling.

A key part of the experience was integrating commentary from renowned Rebinders. These celebrated thinkers include Derren Brown, John Banville, Deepak Chopra, Margaret Atwood (joining soon), and many more. Their voices add credibility and richness to each reading journey.

Our key tech tasks

We designed and built a platform to deliver a seamless reading experience and handle complex AI interactions, large volumes of expert-generated content, and high user engagement. To achieve this, we needed to:

Responsive e-reading platform interface

Build a flexible platform that allows smooth movement between text, videos, and conversations without interrupting the user experience.

Scalable infrastructure

Create robust backend systems that can manage large volumes of multimedia content, live interactions, and changing platform requirements.

Expert interview content

Organize and integrate hundreds of hours of commentary so users can access relevant insights at the right moments during their reading journey.

Natural AI integration

Develop conversational technology that feels authentic and contextually aware rather than robotic or disconnected from the reading experience.

Rebind AI Assistant

Rebind’s core components

To meet our client’s business goals, we developed a solution that included:

Responsive e-reading interface

optimized for the web across all devices.

AI-powered discussion engine

tied to expert interviews.

X-ray mode

to show where content comes from: original or AI.

Embedded video intros

to prepare readers for each chapter.

Highlighting, notes, and journaling tools

for deeper engagement.

Classic-to-modern switch

simplifies classic language, making it more readable.

Our development process

We aligned technical architecture, content structure, and AI-based tools integration to ensure high performance, scalability, and a seamless user experience.

Step 1: Technical discovery

We kicked off with in-depth discovery sessions to map out the product logic, content structure, and AI flow.

Step 2: Modular architecture

Our engineers built a flexible system architecture designed for easy scaling and seamless integration of AI and media features.

Step 3: UX-first design

We prioritized user experience from day one, crafting a clean, intuitive interface where video, reading, and chat work in harmony.

Step 4: Iterative testing

Through rapid prototyping and testing cycles, we refined the interface to eliminate friction and support natural user interaction.

Step 5: Performance & security

We optimized real-time performance across devices and implemented strong content protection to keep expert material secure.

Solving the biggest challenges

Turning Rebind’s vision into a working product required solving several unique technical and product challenges. Each of them demanded a custom and thoughtful solution. Here's how we tackled the most critical ones.

Challenge

Rethinking the e-reading platform format

Traditional AI book readers offer linear reading — scroll, read, repeat. Rebind’s goal was to create an interactive, evolving conversation where readers engage deeply with expert insights.

Our solution

We built a modular system combining reading, short video intros, and AI-driven commentary into a seamless experience. Users can highlight passages, reflect in journals, and chat dynamically with Rebinders, making reading more guided and engaging.

#1

Challenge

Balancing human and AI

Rebind captured hundreds of hours of expert interviews, but only a fraction could surface during real-time reading. Preserving the authentic voice of Rebinders while allowing flexible AI-driven conversations was essential.

Our solution

We created a hybrid content system blending indexed commentary with AI-generated responses. Structured transcripts and generative AI are clearly labeled through “x-ray” transparency, ensuring users know when responses come directly from experts.

#2

Challenge

Working with a constantly changing scope

Frequent updates to product direction and feature priorities posed a challenge, requiring quick adaptation and flexibility in planning.

Our solution

We adopted an agile workflow that allowed for rapid iteration and feature changes. Close collaboration with Rebind’s leads helped us assess and implement new ideas efficiently, keeping the platform aligned with their evolving vision.

#3

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tech stack overview

We selected a tech stack tailored to Rebind’s needs. It had to support complex content structures, AI-driven interactions, and scalable media delivery without compromising responsiveness or editorial control. Here's the stack we used to bring it all together:

Frontend
vue.js-logo
Nuxt 3
Element Plus logo
Pinia
Vite logo
Element-plus
UI library
PostCSS logo
ePubJs
Backend
Ruby on Rails logo
Python
ai integration
Ruby on Rails logo
OpenAI API
Custom natural language processing layer

Rebind’s awards and recognition

Today, Rebind is recognized as one of the most innovative projects in its category.

Named one of Fast Company’s Most Innovative Companies of 2025

Featured in Time’s Best Inventions of 2024

Covered by Publishers Weekly for transforming reading with AI

The project story continues

Since then, the Rebind team has continued to refine and broaden its vision. Their latest step is a Bible-focused mobile app that invites users to explore this path more deeply and consistently. The product is still evolving, and the next chapters of Rebind's story are yet to be written. Meanwhile, we continue enhancing platform quality through ongoing QA testing.

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