Go Beyond Chat.
Work Directly with Primary Sources
we:learning helps individuals and groups work with complex source materials in a more reliable and transparent way. Upload PDFs and documents, generate source-grounded summaries and explanations, and keep AI outputs connected to the original material so they can be checked, compared, and built on.
Primary-Source Workspaces
Upload PDFs and documents into structured workspaces built for individuals and groups.
Source-Grounded Summaries
Generate summaries anchored to the material you uploaded, rather than generic chat responses.
Block-Level Explanations
Explore difficult passages through explanations tied to specific parts of the text.
Built for Reliable Work with Sources
we:learning is designed for people who work with complex texts and need more than plausible AI answers. It provides structured, source-grounded workflows for summaries, explanations, and collaborative interpretation.
Upload Primary Sources
Work directly with PDFs and documents instead of relying on free-form chat prompts alone.
Structured Reader
Read source material in a structured interface that supports focused navigation and interpretation.
Source-Grounded Summaries
Generate summaries designed to stay connected to the underlying material.
Block-Level Explanations
Clarify difficult passages through targeted explanations linked to specific text blocks.
Shared Workspaces
Create spaces where groups can work with the same materials and build understanding together.
Privacy-Conscious Architecture
Built on EU-based infrastructure and designed to evolve toward more local and controlled AI execution.
How It Works
we:learning replaces open-ended chat with a structured workflow for working directly with source material. Instead of asking for one-off answers, you generate transformations that stay connected to the underlying text.
Work with Sources, Not Just Answers
we:learning is built around source-grounded transformation rather than open-ended chat. Summaries and explanations are generated from uploaded material and designed to remain inspectable, comparable, and useful in individual and group settings.
Create a Workspace
Set up a workspace for your own project, reading group, or shared source collection
Add Source Material
Upload PDFs and documents you want to work with directly
Generate Transformations
Create summaries and explanations grounded in the material itself
Verify and Collaborate
Compare outputs, revisit the source, and build understanding together
Grounded in Source Material
Work with outputs that stay tied to the underlying text.
More Verifiable Than Chat
Check where interpretations come from instead of relying on one-off responses.
Built for Shared Understanding
Use the same materials and outputs across individuals and groups.
Designed for Controlled Use
Built to support more privacy-conscious and governed AI workflows over time.
Built for Reading Groups, Research, and Shared Sensemaking
Whether you are working in a reading group, research setting, study circle, or organizational context, we:learning helps people work with the same source material through more transparent AI workflows.
Who It's For
Designed for people and groups who need to work seriously with complex material
Reading Groups
Work through dense texts together with summaries and explanations tied to the source.
Research Teams
Use structured AI support when working with papers, reports, and other primary materials.
Study Circles
Build shared understanding through collaborative workspaces and inspectable outputs.
Organizations
Support knowledge work around internal or external documents where traceability matters.
Ready to Work with Sources More Reliably?
Start using AI workflows built around source material, not just chat responses.
Frequently Asked Questions
Everything you need to know about we:learning
How can I access we:learning?
we:learning is currently available as a web app. We are actively refining the product through real use and feedback.
What can I do with we:learning?
You can upload source material, work with structured summaries and explanations, and use shared workspaces to support individual or group understanding.
Is we:learning a chatbot?
No. we:learning is designed around source-grounded transformations of uploaded material rather than open-ended chat as the default interface.
How is my data handled?
we:learning is hosted on EU-based infrastructure in Germany and is being designed to evolve toward more local and controlled AI execution for sensitive workflows.
Can I give feedback?
Yes. Feedback is very valuable at this stage. Please contact us at info@we-learning.org.