Idea-first
Start with a question; end with a platform.
New project? A short interview about your question, methods, and sources builds a scaffolded knowledge base, a Quarto writing environment, and an optional computational layer.
BeginA dissertation becomes a living, interactive, AI-native web application.
three paths
Where are you starting from?
Every dissertation begins somewhere — a question you cannot shake, a folder of half-thought out ideas or chapters, an R package or collection of R scripts you have been refining for years. The framework adapts. Pick the entry point that matches where you are.
Content-first
Bring what you have; get the structure.
Finished, or have chapters and sources? After the interview, copy your folder into your repository; /ingest and /import-manuscript do the rest.
BeginComing soon
Package-first
An R package as the methodological core.
Writing around an existing R package? Paste a GitHub URL or CRAN name; introspection drafts your wiki, and the framework adds the interpretive layer that makes it legible.
Coming soon — start with the idea-first interview insteadpast → future
What your dissertation becomes
The same scholarship, no longer sealed in a single static file — a living system, rendered wherever your readers, their tools, and future collaborators need it.
thesis.pdfwas / is
- Humanreads it
- Machinenot machine-readable
- AIopaque to agents
static · a single reader
living appcan be
- Humanread · search · cite
- MachineAPI · queryable
- AIsynthesizable corpus
living · serves everyone
AI-native creation
- Many surfaces, one source
- You and an AI collaborator shape one set of source files. From them, a typeset PDF thesis, a navigable web edition, and a searchable knowledge base are generated together — never out of sync.
- Built to connect
- That same co-creation keeps the work API-addressable — so people cite it, tools query it, and AI agents synthesize from it, joining the web of knowledge rather than sitting apart from it.