AI2026/ 05

Conuo

Read source material beside AI answers, then organize what you learn into notes and knowledge pages.

Web
in development
PDF
source reading

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Conuo learning workspace overview with sample study material

01 / 04Learning workspace

Screenshots show the local development interface with original test material. They contain no real users' study content.

01Overview

Conuo is an AI learning workspace in development. It brings imported documents and webpages together with a PDF reader, conversations with source citations, notes, and knowledge pages that users can review and edit.

02Project context

Reading material, AI answers, and notes often sit in separate tools. Checking an answer against its source requires switching views, while useful discussion can remain buried in chat history.

03Implementation

The Next.js and React interface places PDF.js source reading beside the conversation. Questions can use source text or a selected PDF region sent to a vision model. Tiptap supports notes and knowledge pages; Supabase handles accounts and cloud storage, with save results shown in the interface.

04Current results

The core flow covers importing materials, reading and asking questions, checking sources, and saving notes. Live-model and account checks have covered document Q&A, PDF region study, and cloud recovery. The first web release remains in development and has not been publicly deployed; production background tasks and vector retrieval still need complete validation.

05Lessons learned

The work involved keeping answers connected to source passages and distinguishing generated drafts from reviewed knowledge. It also required clear save feedback so users can tell whether an edit has reached cloud storage.

06Project details

  • Import PDF, DOCX, Markdown, text files, and webpages
  • Read the source PDF beside conversations with citations
  • Ask a vision model about a selected region of a PDF page
  • Edit notes and review knowledge pages, with cloud save feedback

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