What Can’t You Do with Leralink?!Sajad Sepehri
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What Can’t You Do with Leralink?!

Hypothetical projects made possible with Loralink

I have brought Leralink to its current state using my personal resources (and of course with high economic risk) and with the help of friends and researchers I know, but essentially with great motivation and on my own. In its current state, this phenomenon is not yet the full version of the vision I have defined for it, but even this version has provided a practical environment for building, organizing, and publishing multilingual knowledge , and has finally allowed me to start writing systematically after years of wandering. At this stage, its value lies not so much in the number of completed features, but in the type of architecture upon which these features have been formed and will be developed. Starting today, users can create content projects, independently produce and edit knowledge pieces, assemble them in various ways into larger structures, define the language, title, content, publication status, and certain metadata for each piece, and then publish these collections in an independent environment for an organization or program.

In a application, Leralink can be used to build an article collection, a digital book, a short course, a thematic archive, a , a specialized blog, a research file, or a multimedia content collection. Its difference from a regular website or content management is that content is built from the beginning as independent, reusable units of knowledge (without being duplicated). The of a piece is not forced to produce everything in the format of a long document or a final page. They can record any idea, explanation, example, definition, image, audio file, or video in the format of an independent piece and decide later which projects, structures, or outputs this piece is meant to be used in. A piece may serve various functions in multiple places. Even different versions of a single piece may be utilized in different places.

For example, a researcher can create a project on the history of Iranian political thought and develop each concept, thinker, source, event, or argument as separate pieces. These pieces can first be published as a collection of research notes, then brought together in a long-form article (what I call composition, inspired by music), and later become the basis for an educational course or a book. In more developed versions, the same pieces can be offered in different languages and through different media[1], connected to academic sources, placed in different pathways, and recombined[2] according to audience needs.

A organization can use Leralink to build a living library on human rights, civic , or public policy. Instead of publishing a collection of scattered files, it can manage each concept, guide, field experience, document, video, or frequently asked question as an independent unit. It can then create different outputs for different groups: a short guide for the general public, an educational package for activists, a specialized version for researchers, and a multilingual collection for international audiences. In this case, the core content is produced once, but can be used multiple times in various structures and formats.

A university or educational can also create a full curriculum in Leralink, let alone produce a single course. Professors and researchers can break down the course content into small pieces: definitions, explanations, examples, exercises, videos, resources, and assessment questions. These pieces are later used in several different courses or paths. A definition or an example does not need to be rewritten from scratch for every course; rather, it can be updated and remain in different versions across all the structures that have used it. Leralink's vision is for this process to lead to the automated or semi-automated construction of personalized learning paths in the future.

Publishing projects are also serious use cases for Leralink. A publisher can build a book from a collection of version-controlled pieces, chapters, and structures. The same content can be published simultaneously in the form of a book, a web version, an audio collection, or an educational course. A magazine can manage its articles, notes, special issues, and volumes within a single structure. A writer can also start their work from small pieces and gradually transform them into essays, articles, books, or collected works.

Leralink also holds highly significant potential for projects. In the common model, a translation is usually a separate version from the original text, and the connection between the versions is easily lost. In Leralink, the is for each translation to remain connected to the same unit of knowledge. This way, if a piece is revised or completed, translators and editors can see the change and coordinate the linguistic versions. This feature is of great importance for projects such as translating a book, creating a multilingual glossary, producing educational content for immigrants, or publishing scientific resources in underrepresented languages.

More complex hypothetical projects are also built on this same logic. One can imagine a network of experts producing knowledge about climate change, public health, , or artificial intelligence. Each contribution is recorded as small, documented, and verifiable pieces. Some people introduce sources, some write, some translate, some assess scientific validity, and some create audio and video outputs. The result is not just a website or a course, but a living knowledge infrastructure that can be continuously expanded and published in various formats.

Another example is a project to document local knowledge. A local community can record its narratives, idioms, lifestyles, music, oral history, and experiences. Each piece can be linked to a place, language, person, source, and other related pieces. From this data, archives, digital exhibitions, books, interactive maps, or educational courses can later be created. In such a project, Leralink becomes a platform for preserving collective knowledge and , not merely a tool for publishing content.

In the organizational domain, an internal knowledge base can be built that goes beyond a mere collection of and instructions. Policies, processes, project experiences, , and internal training can be converted into interrelated pieces. Instead of searching through old files, employees access precise and up-to-date units of knowledge. In the future, AI agents can answer questions based on this very structure, identify knowledge gaps, and suggest necessary content.

An important part of Leralink's vision relates to the role of AI. In current versions, AI can assist in generating, rewriting, translating, categorizing, and suggesting structures. However, the direction of development is for AI to gradually be present throughout the entire knowledge lifecycle: identifying sources, extracting metadata, finding relationships between pieces, suggesting concepts, detecting contradictions, evaluating translations, building learning paths, and generating various outputs. Nonetheless, final , validation, and scientific responsibility must remain with humans and the organizations owning the project.

The growth of Leralink is designed to be gradual. In the first phase, the focus is on creating a stable experience for producing, editing, organizing, and publishing pieces and projects. In the next phase, the relationships between sources, concepts, entities, translations, and publishing structures will deepen. Then, AI tools, collective collaboration, validation, advanced versioning, and automated recombination will be developed. In later stages, multiple outputs can be generated from a single piece or a collection of pieces and published in books, courses, articles, podcasts, videos, social networks, or various learning environments.

Therefore, the current version of Leralink should not be equated with its final vision. What exists now is the practical core of a larger architecture. Any project built on Leralink today can be gradually enriched as the platform expands. Pieces that are simply written and published today can later be linked to new sources, concepts, languages, , versions, and outputs. The platform's structure is designed so that projects do not have to rebuild everything from scratch to leverage future capabilities.

The practical meaning of this approach is that LeraLink can begin with small projects: a ten-piece collection, a booklet, a short course, or a thematic archive. Over time, the same project can become a library, an educational network, a publishing program, or a complete knowledge ecosystem. Product development and project growth are not two separate paths here; every real project helps test the architecture, and each new development increases the capacity of earlier projects.

In its current state, LeraLink is not a complete and flawless system. Its proposal is to enter a different path for building and rethinking knowledge: beginning with small units, preserving connections among languages and sources, enabling reuse, gradual development, and moving from content production toward building living knowledge infrastructures. Another aspect of LeraLink, of course, is the possibility of adopting a cross-media approach or middle-out approach.

  • [1]I will explain the matter of media elsewhere. For now, it is enough to say that every piece of knowledge may have a medium that plays a fundamental role in transmitting it. For example, suppose we turn a poem into an image. The reality is that the primary medium of poetry is “text,” but this does not mean that the poem cannot be presented elsewhere through another medium, such as “image,” “video,” or “audio.” Thus, every independent and coherent unit of knowledge can have one primary medium and several other media.
  • [2]The recombination of pieces is one of LeraLink’s most significant innovations. Recombination can be one of the most important applications of agentic intelligence, or an agent, in the system. Artificial intelligence, or hooshvareh (هوشواره), can propose new molecules from a collection of pieces, just as in other fields AI has designed, discovered, and can propose entirely new molecules and pharmaceutical compounds. Suppose you have a set of separate, coherent pieces. AI sees shared themes, patterns, and concepts in them and proposes a composition that functions like pharmaceutical formulations, from which wholly different forms of effectiveness can be extracted.

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