> Markdown twin of https://adna.network/use-cases/
> Index: https://adna.network/llms.txt · Full corpus: https://adna.network/llms-full.txt
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# Use Cases

See how different kinds of teams and individuals could use aDNA to organize their work. Each scenario follows an **illustrative** persona through a concrete deployment.

## Illustrative, not case studies

ℹ Illustrative scenarios

These personas are composite archetypes, not real named adopters — they show the shape of a deployment, not a case study. For real, cited subnetworks running on aDNA today, see [the commons](/commons/).

The distinction is load-bearing and we would rather lose the persuasive version of this page than blur it. A case study reports what someone did; a scenario shows what a deployment looks like. Only one of those is evidence, and pages that quietly present the second as the first are the reason the first is worth anything.

## How to read one

Each scenario names a starting situation, the vaults the persona ends up with, and the decisions that got them there. The useful part is usually the *shape* — how many vaults, where the boundaries fall, what stays local — because that is the part that transfers. The specific tools and counts will not match your situation and are not meant to.

If none of them fits, that is a legitimate outcome rather than a gap in your understanding: aDNA is a structure for organising context, and plenty of real deployments look like none of these four.

## The scenarios

[Solo Developer Sam is a freelance developer working solo on 3-4 client projects simultaneously. They use AI agents heavily — for code generation, documentation…](/use-cases/solo-developer)[Startup Alex is CTO of a 12-person AI startup building a developer tool. The team ships weekly, context switches constantly between features, and relies…](/use-cases/startup)[Research Lab Maya is a principal investigator running a computational biology lab with 8 researchers, 3 AI agents, and a growing mountain of experimental data. She…](/use-cases/research-lab)[Enterprise Team Jordan manages a 50-person platform engineering organization at a financial services company. Three teams run concurrent AI-agent-assisted projects…](/use-cases/enterprise-team)[Educator Sarah teaches a graduate course on AI-augmented knowledge work at a research university. Her students come from diverse backgrounds — computer…](/use-cases/educator)[Open Source Project Kai maintains a popular open-source data processing library with 200+ contributors, 50 open issues, and a codebase that's outgrown any single person's…](/use-cases/open-source-project)

## See yourself in one of these?

The scenarios are illustrative — the path is real. Start your own vault, or read the standard it is built on.

[Get started](/get-started/) [Read the standard](/reference/)