Future Portal and AI Browser Concept Report

【Introduction】

Today, I’m basically using ChatGPT as a browser replacement.

The old way of browsing — Googling, clicking through a list of sites, and reading them one by one — feels super tedious and inefficient.

That’s why I believe the future belongs to AI-driven portals where only the information you actually need gets summarized and delivered instantly.

Which raises the question:

"What will browsers actually be for in the future?"

【The Future Role of Browsers】

  1. As storage and static resource access layers

    • Handling the entire volume of web data purely with live AI processing is just unrealistic.
    • Browsers might shift towards being "information libraries" — portals to instantly access preprocessed static files (like via CloudFront).

  2. The rise of LLMO (Large Language Model Optimization)

    • Instead of SEO (which optimizes for human readers),
    • Content will be structured semantically, so AIs can explore and reconstruct it more efficiently.

【AR/VR Isn't a Requirement】

  • AR/VR tech isn't necessary for building future portals.
  • Even on a simple 2D screen, we can deliver revolutionary new browsing experiences.

【Portal Experience Innovation】

Imagine a new way to access content without clicking URLs.

  1. User types their intent into a chatbox
  2. AI predicts the needed resources and auto-generates URIs
  3. The portal dynamically assembles and displays the experience

Example:

  • Type "I want to see Company X’s corporate site" →
  • Instantly, a custom-tailored version of their site appears in the portal.

Key points:

  • "Custom-tailored" doesn’t mean hallucinated, half-baked AI guesses.
  • The experience should be based on pre-developed, officially provided resources from the company side.
  • A totally new kind of dynamic, creative website experience built for AI-driven browsing.
  • We might even need to rethink URI and directory structures to support this.
  • By linking AI-generated URIs to curated resources, we could finally enable hallucination-free, personalized AI web experiences.

【Resource Preparation and Technical Realities】

  • For now, it's more realistic that developers manually prepare components and data ahead of time.
  • But someday, AI might even be able to auto-generate the resources themselves.
  • The real technical challenge: exploding data volumes and storage limits.

Approach:

Problem Solution
Data overload Use BLOB storage for efficient, chunked resource management
Organizing resources Move away from folder trees, use semantic tag-based organization

【Integrating Semantic Web Technologies】

To build future portals, we need full integration of semantic web tech:

  • RDF (Resource Description Framework) to tag meaning onto resources
  • SPARQL to search and reason through meaning-based queries
  • Knowledge Graphs to dynamically generate structured web spaces
Tech Overview
Flexible meaning expansion Easily add new relationships without breaking structures
Semantic querying Do natural, complex searches like "all famous people linked to futuristic architecture"
Distributed compatibility Seamlessly query across different servers/organizations
AI synergy Meaning-based structures work naturally with AI inference

【Traditional Web vs Future Portal】

Aspect Traditional Web Future Portal
Resource management Isolated pages Meaning Networks (Knowledge Graphs)
Access method Keyword search + clicking links Intent input + semantic navigation
Optimization focus SEO (human readers) LLMO (machine readers)
User experience Searching around through links Instantly warping into your goal world

【Composable Web: Future Web Architecture】

Traditional Web:

  • Monolithic sites built all at once.

Future Composable Web:

  • Tiny UI parts split into resources.
  • AI assembles them dynamically, only when needed.
Aspect Lambda (FaaS) Future Portal
Core concept Execute functions only when needed Build UI only when needed
Execution timing Function runs on demand UI generated on demand
Load Minimal Minimal + super flexible

【Challenges and Suggestions】

What happens after you press a button?

The prediction can't just be about standard screen transitions — it needs personalized intent prediction.

  • We shouldn’t generalize for everyone worldwide.
  • Instead, focus on small-scale, user-specific learning.

Conclusion:

  • Miniature personal AIs + meaning-based resource networks = the future of Web × Portal experiences.

🔥 Final Thoughts

The future of browsing is:

  • No more manually searching for pages.
  • Just throw an intent — and the right experience gets generated.

Even 2D screens are enough.

The future's tech stack is already almost ready.

Now it's about building it.

【Open Issue】

Right now, predicting "what comes after a button click" still feels too random and unstructured (unsemantic).

It’s unrealistic to apply a single solution across all users and all websites globally.

Instead, if OpenAI’s goal is true personal AI,

then it makes sense to focus heavily on deep-learning small-scale, individual user patterns.

This would massively accelerate AI-driven SaaS and UI evolution.

Practical early-stage ideas:

  • Logging and saving user action histories individually
  • Letting users build/edit their own usage macros for semi-automation

Source: Next-gen UX in AI – Redefining SaaS Products in the Age of AI