# Fluid

> Make the knowledge behind your work explicit in a shared model. AI helps propose revisions; your organization decides what to adopt.

## Pages

- [Fluid — your work comes first. Applications follow.](https://fluid.nu/en/home.md): Make the knowledge behind your work explicit in a shared model. AI helps propose revisions; your organization decides what to adopt.
- [How Fluid works](https://fluid.nu/en/how-fluid-works.md): See how your organization’s understanding of its work becomes a shared model, how Fluid applications are derived from it, and how both evolve when your organization decides to make a change.
- [Work with Fluid](https://fluid.nu/en/work-with-fluid.md): Bring an idea, a problem or something you want to improve. Together, we can explore what it would mean to build it with Fluid.
- [What Fluid is](https://fluid.nu/en/what-fluid-is.md): Fluid separates the meaning of your work from the individual applications that use it. To understand what that means in practice, it helps to distinguish three things: the shared model, the records created through everyday work, and the applications people use.
- [Software for a World That Moves](https://fluid.nu/en/manifesto.md): The work changes. The software follows. Authority over what changes stays with the people responsible for the work.
- [Join us](https://fluid.nu/en/building-fluid.md): Help shape what Fluid becomes. Fluid has a working platform beneath it, and the company around it is taking shape. We are looking for people who want to help build both.

## Optional

- [The argument, in three papers](https://fluid.nu/en/papers.md): The manifesto states Fluid's position. These three papers examine it from three directions: the institutions whose systems fall behind, the software industry now making code cheap, and the experts whose knowledge those systems are meant to serve.
- [The State of the World](https://fluid.nu/en/state-of-the-world.md): One mechanism explains four symptoms across rule-dense sectors: shadow spreadsheets, change queues measured in months, decisions that cannot be fully explained, knowledge that leaves with the expert. An interpretation of the work is frozen into the mechanism that runs it — and the work keeps moving.
- [The State of Software Development](https://fluid.nu/en/state-of-software-development.md): AI made code cheap and left the real constraint standing — deciding what is true, and revising it safely. The new paradigms are engines in search of a substrate: structured meaning, deterministic execution, human authority at the boundary.
- [Liberating Domain Knowledge](https://fluid.nu/en/liberating-domain-knowledge.md): For decades experts have watched their knowledge be translated into other people's code — thinned, hardened, placed beyond their direct control. Fluid returns authorship to the people who know: AI drafts, accountable experts decide, and applications follow what they accept.
- [Fluid — reference for AI assistants and search engines](https://fluid.nu/en/ai.md): Fluid's reference for AI assistants: Domains, derived applications, human authority, execution, integration and current platform boundaries.