Getting Started with NotePie
You can start even before you have all the material in hand. NotePie is an AIP App that takes you from finding sources with web search and deep research to collecting documents, URLs, and text in one notebook, then reading, asking, and reshaping them into useful outputs.
It is not just a place to store material. NotePie processes sources you discover or add yourself, connects them to citation-backed AI chat, and helps you turn the same material into reports, mind maps, slides, podcasts, and other reusable formats.
To use NotePie, your workspace must have access to AIP Apps enabled.
What NotePie does
- Adds PDF, DOCX, PPTX, XLSX, TXT, Markdown files, URLs, and pasted text as sources.
- Turns web search results, crawl previews, and deep research reports into sources.
- Lets you ask questions and review citation-backed answers based on prepared sources.
- Reorganizes material into study guides, blog posts, briefing docs, concept comparisons, mind maps, slides, and podcasts.
How you can use it
- Students - Collect papers, lecture notes, and web search results, then turn them into study guides or presentation drafts.
- Engineers - Compare API docs, technical blogs, and issue threads, then summarize implementation options.
- Product planners - Gather market research, competitor material, and user feedback into briefing docs or slide drafts.
- Office workers - Review internal docs, meeting notes, and reference material, then reorganize them into report-ready content.
- Researchers - Review sources found through web search and deep research with citations, then extract the key evidence.
How is NotePie different from general AI chat apps?
General AI web apps such as ChatGPT, Claude, and Gemini are strong for open-ended questions and drafting. NotePie focuses on a more structured workflow: collect material, review answers with sources, and reshape the same source set into multiple outputs.
| Area | General AI web apps | NotePie |
|---|---|---|
| Starting point | A question or prompt | A notebook and its sources |
| Material management | Material can be scattered across conversations | Sources are managed inside a notebook |
| Source collection | Users often prepare material separately | Supports files, URLs, web search, crawl preview, and deep research |
| Answer review | Evidence may need to be checked separately | Citation badges and source scope are part of the review flow |
| Outputs | Answers and drafts | Documents, mind maps, slides, and podcasts |
NotePie is not meant to replace general-purpose AI chat. It is built to help you continue source-based research and generation in one workspace.
Basic flow
1. Create a notebook
Create a new notebook or open an existing one. Files, URLs, text, web search results, and deep research results you add later are managed as sources in this notebook.
2. Choose how to add sources
Add material you already have by uploading files, adding URLs, or pasting text. If you still need to find material, run web search or deep research first and bring the results in as sources.
3. Check processing status
Wait until the source status becomes ready. pending and processing mean NotePie is still preparing the source; error means you should review the reason and retry if appropriate.
4. Ask in chat
Ask questions based on prepared sources and review the citations attached to the answer.
5. Generate outputs
Turn the same sources into reports, mind maps, slides, podcasts, and other reusable formats.
6. Review and regenerate
Review the result, then adjust the source scope or generation options and regenerate when needed.
NotePie works well when you iterate on the same source set by reading, asking, and generating outputs repeatedly.
Before you start
- Each notebook has a source limit. The current default is 10 sources per notebook.
- File uploads use a size limit. The current default is 50 MB per file.
- For important decisions, review the original material and citation badges along with the generated output.
Read next
- Core Concepts: Explains the core concepts that make up NotePie.
- Features: Introduces the available output types.
- Considerations: Summarizes practical limits and checks to keep in mind.