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For students and researchers

Your work, and an AI that actually knows it.

Continuum keeps your goals, sources, study, and code in one workspace — so when you ask a question, the answer comes from your own material, with the receipts.

Create your workspace

No credit cardYour workspace is privateWorks with Claude, Zotero, Obsidian

Continuum's Ask surface: a question about a research project, a short answer, and three citation chips naming the source, decision, and concept the answer used.

Every tool holds a piece. None of them holds the thread.

Your reading is in one app, your notes in another, your plan in a third, and your AI chat starts from zero every time. You spend your best attention rebuilding context you already had.

  • Sources you can't find again
  • Plans that drift
  • AI that forgets

Today

LibraryProjectsAskPlanBuildno thread between them

With Continuum

LibraryProjectsAskPlanBuildpassage 3 ↗
On the left, five tools each hold part of your work and none of them are connected. On the right, one thread runs through all five and ends in a citation you can open.

How it works

Ask. Read the answer. Open what it used.

  1. Ask in your own words

    The Ask composer holding the question “What did I decide about cross-marker association?” with a context chip reading “Project: OASIS”.
  2. Get an answer from your work

    An answer in the Ask surface with two citation chips beneath it, each naming a record from the workspace.
  3. Open exactly what it used

    The context inspector open beside an answer, showing the decision record and the source passage the answer was built from.

Continuum retrieves only what your question needs, tells you what it used, and lets you open it. Nothing else from your workspace is sent.

What's inside

Four surfaces, one memory.

Study that only counts real evidence

A concept moves forward when you answer something you haven't seen before — not when you finish a video.

A study checkpoint asking an unseen question, with the concept's mastery breakdown beside it.

Research with the evidence attached

Search 250M+ works through OpenAlex, save what matters to a project, and keep every claim tied to the passage that supports it.

A research goal showing its saved sources and the claims linked to the passages that support them.

Code beside your material

Run Python, JavaScript, TypeScript, and SQL in the browser. Ask for help and the answer uses your actual error, not a guess.

The code editor with a Python program and its console output, run in the browser.

A week you can actually finish

Tell Continuum when you're free. It drafts a week from your real deadlines; you edit it before anything is saved.

A drafted study week laid out across seven days, with each block still editable before it is saved.

Connections

It works with what you already use.

  • Claude

    Ask Claude about your Continuum work through a secure connection you approve and can revoke.

    You approve each permission
  • Zotero

    Bring your library in and use it as evidence.

    Needs your API key
  • Obsidian

    Sync notes to a folder you choose. Continuum never touches the rest of your vault.

    Folder you pick
  • OpenAlex

    Search the open scholarly graph. Works with no setup.

    Working — no setup needed

More coming — we'll say so when they're real.

Control

You decide what it can touch.

  • Assistants read only what a question needs
  • Anything that changes your work is a proposal you approve
  • Run models locally with Ollama if you'd rather
  • Download or delete everything, whenever

See it with a real workspace.

The demo is a complete student workspace — real sources, a real plan, real conversations. Nothing to set up.

Continuum — Your work, and an AI that actually knows it.