Light Index: Tackling Information Overload
Case Study
Teachers, school teams and developers often face the same challenge: too much information and too little structure. While AI chat provides fast answers, it struggles with scale and organisation. With Light Index, we wanted to show how a few simple design principles - transparency, simplicity and human-centred thinking - can turn overload into clarity.
TL;DR - At a Glance
- The Problem: content-heavy websites overwhelm users, especially on mobile. Static lists are slow, confusing and expensive to maintain.
- The Solution: Light Index - an AI-assisted index with live search, filters, sorting and light personalisation.
- The Impact: up to 50% faster navigation, higher engagement on mobile, and easier maintenance for developers.
AI helped us code faster - but human choices created clarity.
From Overload to Overview
Teachers and professionals were losing time scrolling through endless lists. On mobile, that meant frustration and drop-off. Light Index proves that structure itself is a form of digital inclusion. The app offers live search, filters and sorting that cut through noise and make resources easy to find - with no login, no tracking, and full user control.
“Overload slows users down. Structure restores focus - AI speeds up the build.”
The Challenge - Speed, Precision and Trust
We aimed to solve three recurring pain points:
- Overload: too much information, too little structure.
- Loss of Control: users couldn't filter or sort content themselves.
- Maintenance Pressure: long static lists didn't scale.
AI chat can advise (What should I read?) but it can't deliver the precision or shareable structure that education needs. That's why we built a hybrid model - human organisation, AI-assisted build.
Our Approach - AI as Co-Pilot
AI accelerated development, but design decisions stayed human:
- AI generated the base code for HTML, CSS and JavaScript → around 70% faster prototyping.
- Reusable components reduced errors and made updates 30% quicker.
- Mobile-first design improved readability and calmness.
- LocalStorage remembers user settings - no cookies, no tracking.
“AI helped us code faster - but structure and simplicity gave users control.”
Responsible Design - Transparency Through Simplicity
Light Index became an exercise in ethical and sustainable web design:
- Open data: all content loads locally; no hidden APIs or opaque logic.
- Privacy-first: no cookies, analytics or tracking.
- Accessible and multilingual: light, fast and understandable for everyone.
- Energy-efficient: the app runs entirely in-browser and avoids heavy AI inference - consuming a fraction of the energy used by repeated cloud queries.
- Educational by design: every filter shows how data choices shape what we see.
Results - From Frustration to Focus
Quantitative:
- 50% faster navigation than static lists.
- +30% mobile engagement.
- Easier updates thanks to modular code.
Qualitative:
- Users report more calm and sense of control.
- Teachers use the tool to discuss data filtering and sustainable design in digital literacy lessons.
Before & After
- Before: Long lists, endless scrolling, missed content.
- Now: Filters, search and sorting that deliver what users need - in seconds.
Lessons and Future Directions
What Worked:
- AI as co-pilot: speed without losing human agency.
- Structure over spectacle: users value clarity over visual effects.
- Mobile-first thinking: accessibility above aesthetics.
- Sustainable minimalism: less code, less data traffic, less energy.
Next Steps:
- Natural-language filters (Show articles on generative AI in music).
- Lightweight recommendations without tracking.
- Integration into the broader family of educational apps.
“The value isn't in the tool - it's in learning to manage it yourself.”
Why Not Just Use AI Chat?
AI chat excels at exploration, not at structured navigation.
- Index = precision, shareable results, repeatable context.
- Chat = discovery, guidance, interpretation.
Together they form a hybrid model that helps schools work with AI critically, efficiently and sustainably.
Value for Schools and Developers
For Teachers and Learners:
- Less cognitive noise, more overview.
- Insight into how metadata and filters shape visibility.
- A model of sustainable digital behaviour - efficient use without wasted compute power.
For Developers:
- Robust, maintainable code with no vendor lock-in.
- Modular building blocks for other educational apps.
For School Teams:
- A clear example of how responsible and sustainable AI policy can translate into design practice.
Reflection - From Building to Understanding
Light Index demonstrates that simplicity, transparency and sustainability are not limitations but design strengths. Using AI to build structure - instead of constantly computing new answers - creates a lighter, more energy-conscious and more explainable system. Every search becomes a small exercise in responsibility: for data, for users, and for the planet.
💡 For the user's perspective, read the companion article Learn to Think Critically About AI Tools and Data Filtering - showing how educators use the Light Index to explore transparency, bias, and AI literacy in practice.
We help schools use AI wisely - from policy to classroom practice. We don't sell AI apps; we build knowledge, routines and example projects that show how it can be done.