Why one graph

Product knowledge is usually scattered: tasks in Jira, screens in Figma, decisions in Notion, the data model in dbdiagram, endpoints in Swagger. Each tool is good at its slice. None of them can tell you which screens render a given data model, or which API payload a user flow ends up touching.

Arkaik is built around that missing question. Flows, screens, data models and API endpoints live as nodes in one graph, so you can travel from a user journey down to the payload it hits, or from a data model back up to every screen that shows it, across platforms.

It is just as clear about what it is not. It is not a task tracker: it links to your issues and PRs, it never becomes the place you manage them. It is not a wiki, and it is not a design tool. It is a navigable map of your product's full anatomy.

One graph, many maps: the same data is read through a journey map, a system map, a delivery board and an overview. Every human view has an agent-readable twin, so nothing is drawn that cannot be queried.