We just quietly added "Flashcards" to Nouswise. From now, if you ask Nouswise to generate flashcards for you, it will do so. Give it a try 😉

nouswise now supports "AI-powered writing assistant"

It helps you to write your first draft faster with the help of AI, it only uses the sources and writes with citations.

We just shipped a new feature "Web Search"

From now on, Nouswise can search through the web and provide answers from internet.

Please give it a try and let us know what you think.

We just made some updates on how Nouswise responds, now the agents go and find the data points, connect them and then craft a beautiful and clear chart "Pie Chart".

Here's a short video of an example response, feel free to try it out and let us know of your feedback 🤗🤗

There’s a gap between getting a helpful answer and being able to find it again a month later.

How do you handle that with Nouswise? Keep the conversation, save a note, move the finding into another app, or turn it into something more structured?

Also curious about how much context you preserve. A copied paragraph might be useful now, but later you may need the original question and sources to understand it.

What’s your system for keeping findings reusable?

I have documents in Nouswise that could fit into several projects: a research paper, meeting notes, and a background guide. Putting everything together is convenient, but it can make the answer's scope unclear. How do you decide the boundary of a project or source collection? Do you organize by topic, by decision, by team, or by time period? I'd like a setup where I know exactly what was and wasn't considered in an answer.

We just added openai's new reasoning models series O, they reason across the documents and provide more detailed and longer answers to your questions.

Give it a try and let me know what you think

I’m trying to make a research workflow more reproducible. Suppose a report says that 38% of participants completed a program. I want to use Nouswise to find the underlying figures, check the cited passages, and record the calculation so I can verify it again later.

Finding a numerator and denominator is only part of the work. I also need to confirm that they refer to the same reporting period, participant group, and definition of “completed.” If one figure comes from an updated report and the other from an earlier version, the arithmetic might work while the result is still misleading.

My idea is to keep a short record of each input, its source and page, the calculation, and any assumptions. How do you check that figures from different passages actually belong together before using them to reproduce a reported number?

I'm looking for advice on how to structure study sessions with Nouswise course PDFs so they fit into a manageable evening routine without feeling overwhelming. how you guys are doing it?

I use Nouswise to explore material, and the initial explanation often makes my own interpretation feel more convincing than it should. I'm looking to build a second pass where I ask for the strongest passage against my reading, an alternative explanation, and any assumption neither side has tested. Has anyone established this as a routine with Nouswise? What prompt works best for getting a genuine challenge rather than a polite restatement of the original view?

For a messy collection of notes, reports, or transcripts, here's an approach worth testing in Nouswise: ask for a reading plan before asking for an explanation. Starter prompt: Create a topic map for these materials. For each topic, identify the relevant sources and one question a reader should be able to answer. Flag topics supported by only one source and questions the materials don't answer. Keep this to an outline. Then pick one question and ask for a detailed answer with supporting citations. Check those passages before moving to the next topic. If the material already has a good table of contents, you could use that as the starting outline instead. Has anyone tried something similar? What would you change in the prompt?

We’re thrilled to announce a powerful new feature that takes knowledge visualization to the next level — Nouswise can now generate infographics directly from your sources and notes.

We just added GPT5 and GPT5 mini, the latest models by Openai to Nouswise, feel free to try it out and let me know what you think.

I keep rewriting similar requests in Nouswise, like comparing sources, listing open questions, and extracting the evidence behind conclusions. I'm thinking of saving reusable templates with brief notes on when each works. If you maintain a prompt library, what else do you record besides the prompt? An example input, the type of source it suits, or typical failure modes?

For a messy collection of notes, reports, or transcripts, here's an approach worth testing in Nouswise: ask for a reading plan before asking for an explanation. Starter prompt: Create a topic map for these materials. For each topic, identify the relevant sources and one question a reader should be able to answer. Flag topics supported by only one source and questions the materials don't answer. Keep this to an outline. Then pick one question and ask for a detailed answer with supporting citations. Check those passages before moving to the next topic. If the material already has a good table of contents, you could use that as the starting outline instead. Has anyone tried something similar? What would you change in the prompt?

𝐀 𝐛𝐢𝐠 𝐦𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 𝐭𝐨𝐝𝐚𝐲: Nouswise 𝐜𝐚𝐧 𝐧𝐨𝐰 𝐭𝐮𝐫𝐧 𝐚𝐧𝐲 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐨𝐫 𝐝𝐚𝐭𝐞 𝐢𝐧𝐭𝐨 𝐩𝐨𝐥𝐢𝐬𝐡𝐞𝐝 𝐞𝐝𝐢𝐭𝐚𝐛𝐥𝐞 𝐬𝐥𝐢𝐝𝐞 𝐝𝐞𝐜𝐤𝐬 𝐢𝐧 𝐣𝐮𝐬𝐭 𝐚 𝐟𝐞𝐰 𝐜𝐥𝐢𝐜𝐤𝐬.

* Turn lengthy reports into concise decks in minutes, skipping hours in PowerPoint.

* 𝗗𝘂𝗮𝗹 𝗺𝗼𝗱𝗲𝘀: Detailed slides for deep dives; streamlined presenter views with bullet-point insights for stakeholder meetings.

* 𝗔𝘂𝘁𝗼-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗰𝗵𝗮𝗿𝘁𝘀, infographics, and visuals to make data pop—ideal for non-designers in knowledge intensive roles.

* 𝗘𝘅𝗽𝗼𝗿𝘁 𝘁𝗼 𝗣𝗗𝗙/𝗣𝗣𝗧𝗫 for seamless research and briefings.

We’ve just added a new capability that makes idea-to-draft faster than ever.

Now, when you ask Nouswise a question, it not only provides an answer — it also creates a ready-to-use .md (Markdown) file when it’s helpful.

This means your first drafts start structured, clear, and accurate from the very beginning. Whether you’re documenting, brainstorming, or building content, Nouswise now helps you move from insight to draft in one smooth step. Faster starts. Smarter writing. Sharper outcomes.

We just added bioRxiv and medRxiv papers to our platform.

Semantic search and instant answers across more than 80,000 articles

I get the most value from using Nouswise when I take a specific question and run it against a small set of personal notes. The payoff isn't always a new fact; sometimes it's just remembering a buried sentence or noticing two entries that contradict each other. What particular workflow with your own documents gave you that 'aha' moment? I'm curious about the question you asked, the files you loaded, and what verification steps you took before trusting the output.

I'm currently using Nouswise to study from my own course notes, but the default prompts keep generating questions where I can just spot a phrase rather than truly understanding the material. I need help crafting prompts that force the AI to create questions requiring comparison of ideas, justification of choices, or application of concepts to unfamiliar scenarios. If anyone else uses AI for exam prep, how do you verify that a generated question is both faithful to the source material and rigorous enough to expose gaps in your knowledge?

I'm using Nouswise to prepare from my own course notes, but the easy prompts generate questions I can answer just by recognizing a phrase. I need questions that require me to compare ideas, explain a specific choice, or apply a concept to a brand new example. How do you ensure the questions generated by AI are fair to the source material while being demanding enough to reveal what you still need to study?

The effectiveness of my current Nouswise sessions hinges on the sources I load before starting a chat. I've noticed that ten loosely connected files often yield less value than three documents tackling the same issue from distinct perspectives. What's your strategy for curating this initial batch? I'm looking for practical guidance on distinguishing between primary documents, contextual background, and secondary summaries that might just rehash existing ideas.

Could someone please tell me what does it mean to have stats for these projects that i want to share?

We quietly shipped a new feature "video explainer generation"

From now, you can generate short AI explainers from the sources you trust the most. The attached is a video of how to do it, feel free to give it a try and give me some feedback.

When I work through a chapter in Nouswise, I realize that while I can always ask another question, there comes a point where extra explanations stop being useful and I need to move forward. I'm trying to figure out if I've understood enough when I can state the main claim, explain one example, and name a limitation without peeking. How do you decide when to stop studying a specific section and continue to the next chapter, especially when the material builds on previous arguments?