Keyword Intelligence Platform

Pick a Topic.
See what it can become.

Choose a Topic, such as dog breeds, electric vehicles or glass art, and its keywords. For every keyword, the system fetches native content from the Internet (images, video, articles, news, products), then AI derives something new from it: definitions, narration, fun facts, slideshows and whatever you imagine next. Publish the whole Topic as a website in one click.

Launch the app → Browse published Topics

Topic: Dog breeds › border collie ONE KEYWORD

Native contentfrom the Internet, unaltered

Imagesas published

VideoYouTube

Articlesoriginal PDFs

News & shoppingoutlets · stores

Derived contentgenerated from it

Definition & narrationAI model · TTS

Fun Factsfrom PDFs · transcripts

SlideshowReinventing the Slideshow

+Your next ideaany AI model

See how it works →

The architecture

Topics and keywords in. Anything you imagine out.

Every content type on this site was built by one system from one input layer: a Topic and its keywords. Native content is fetched for each keyword. Derived content is generated from it. The next derived type is whatever you think of.

1 · Input layer

A Topic and its keywords

Each keyword is passed in one at a time. The list is made one of three ways:

ATyped

BUploaded

CGenerated by AI from the Topic

Example: Dog breeds › border collie

2 · Native

Fetched from the Internet

Images

Video

Articles

News

Shopping

Google Trends

Origin: a real address on the web Altered: never, shown as published Limit: what the Internet already has

3 · Derived

Generated from the keyword and native files

Definitions

Pop art

Glossaries

EXIF

Narration

Wordclouds

Fun Facts

Slideshow

Origin: made here, by AI models and extractors Altered: it is new; it didn't exist online Limit: what you can imagine

4 · Next

Whatever you imagine

A new type is one more task on the same pipeline. It is built for every keyword in every Topic, gets its own button and publishes with the site.

Same keyword. Look what it became.

These derived types already exist. Each one started as a keyword or as native files the web already had.

Starts asMade byBecomesWhat's new

Keyword Input

AI model

Definition Derived

One word becomes an explanation. The Topic tells the AI which meaning to use.

Keyword Input

Stable Diffusion

Pop art Derived

One word becomes an image no one has seen before, unlike the photos fetched from the web.

PDF articles Native

AI model

Glossary & summary Derived

A stack of reading becomes the gist and its key terms, before you open a single PDF.

Images Native

Extractor

JPG / EXIF Derived

Pictures to look at become data to read: the camera details hidden inside every file.

Definition Derived

Kokoro text-to-speech

Narration 2nd level

Text to read becomes audio to hear. Derived content, derived again.

PDFs Native

Transcripts Native

EXIF Derived

AI model

Fun Facts 2nd level

Pages of source material become short, surprising facts, each traced back to its group.

Images Native

Video Native

Pop art Derived

Narration 2nd level

Combined

Slideshow 2nd level

Separate files become one narrated show, stepping through the whole Topic keyword by keyword.

Any keyword InputAny file Native or derived

Any AI model

Your idea Derived

Whatever you imagine next. Same Topics, same keywords, same pipeline. Every derived type above was built this way.

How it works

Four clicks from open to answer.

Choose a Topic

Dog breeds, fruit, electric vehicles, glass art: open any one, and it tells you when it was last refreshed.

Choose a keyword

Every Topic holds its own keyword list. Dog breeds runs from affenpinscher all the way to yorkshire terrier.

Choose what to see

Tap any content button, native or derived, and that's what fills the page. They all work the same way.

Browse or publish

Open any item to read, watch or listen. Or hit Publish and the whole Topic becomes a shareable website, with progress shown as it builds.

Go deeper

Pick a Topic.
See what it can become.