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Remember that paper that started with ‘Certainly, here is a possible introduction for your topic’? How did that get past peer review?! I don’t want AI tools to do my research for me. I want AI tools to speed up boring tasks that take up my time, so I... can focus on the important stuff. Anara moved to a new handle (formerly Unriddle) does exactly that. Here’s how you can use it for your research. 🧵👇 #SponsoredWalkthrough One of the biggest challenges in research is time. A solid literature review takes at least 2-3 months… sometimes even longer, depending on the depth of analysis needed. Reading, organising, and synthesising information is a slow process, but it’s absolutely necessary for high-quality work. AI can help speed it up. Not by replacing your critical thinking. It’s your PhD, your ideas need to be your own—but by automating the tedious, repetitive parts of research so you can focus on deep understanding, analysis, and writing. Unlike other AI tools, Anara works with almost any document format. This is what makes it really stand out from the rest. For instance, you can upload: ✅PDFs and other word-based documents ✅Images and presentations ✅Handwritten notes, voice memos, even videos There are so many resources out there that we can learn from. You can upload everything from research papers to YouTube videos and even your own notes and scribbles. It actually understands handwriting surprisingly well! You get automatic summaries when you upload documents. The AI extracts key information immediately, giving you quick insights. It can also help you keep your documents organised. Use the Groups feature to sort and categorise your resources. Create a group for your literature review and keep these papers separate from your other projects or chapters. Tip: Overwhelmed by the number of papers in your "to-be-read" folder? Upload your papers to Anara for immediate insights on each of them, then use these to decide which ones you want to read in more detail. Quickly identify which papers are worth your time—thank me later! You can also go deeper into the papers with Anara’s chat feature. Instead of endlessly scrolling through documents to find relevant sections, just ask the AI a question based on your uploaded files. The chat provides direct answers, all with citations. ✅Suggests questions based on your prompt, helping you refine your focus ✅Everything is sourced directly from your documents. So no random AI-generated nonsense ✅Switch between different AI models to suit your needs. Some are better for summarisation, others for deeper contextual analysis It actually sticks to the sources you give it. My favourite feature is the ability to make flashcards! After you upload a document, Anara can create flashcards to help you test your understanding. Perfect for revision and retention. But… can you trust it? The problem with many AI research tools is hallucination... meaning that they make things up. Anara doesn’t do that. It reduces hallucinations by only referencing the documents you upload. Plus, it provides detailed references and hyperlinks so you can check the original source down to the exact page number. This doesn’t mean you shouldn’t read the paper for yourself. It does mean that you can find what you need much faster, and then verify it with automatic citations. At the end of the day, these tools are here to help you, not replace you. If you’ve made it this far, then it’s (definitely) time to go to 👇 anara(dot)so and give it a try. Use code THEPHDPLACE20 for 20% offshow more

The PhD Place

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23,135 görüntüleme • 1 yıl önce •via X (Twitter)

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Anara profil fotoğrafı

Anara1 yıl önce

Thank you for sharing! Accelerate your research with Anara today:

FRANK E ELKINS profil fotoğrafı

FRANK E ELKINS1 yıl önce

Confused about AI? Get clarity today with Book VI - "The Rational Being!" Understand the benefits & risks, empower your future now by learning what AI really is and how it really works! Also check out the Free Weekly Newsletter "How Things Work: A Brief History of Reality"

Alexandra Wilson profil fotoğrafı

Alexandra Wilson1 yıl önce

If you get a machine to precis the material for you, you're not developing the skill of how to sift what's important yourself.

Anand Butani profil fotoğrafı

Anand Butani1 yıl önce

Anara sounds like a real game-changer for research! Automating the tedious parts—while keeping the focus on your critical thinking—is exactly how AI should be used.

The Muslim Saga profil fotoğrafı

The Muslim Saga1 yıl önce

Thanks for information

Timilehin Morighanfen profil fotoğrafı

Timilehin Morighanfen1 yıl önce

Truth being told, I appreciate seeing AI simulating human capabilities but I don't support it's usage in academic research and I will be glad if policy makers can come up with policy that controls the usage. Of course, AI will change the way things are done, it needs to be guided

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Read 100 paywalled research papers for free every month! You don't even need a university account to do this. Here's how to read paywalled papers on JSTOR for free: 1. Go to jstor(dot)org and click on "Register" in the top-right corner. You can register with your personal Google or Outlook account. Or, you can create a JSTOR account manually. 2. Once you've logged in to your JSTOR account, click on "Workspace" in the menu bar. Then click on "Create folder." Choose a name for your folder and click on "Create."Creating folders in Workspace is a great way to keep your papers organized. 3. Type in the keywords in the search bar to find relevant papers. JSTOR willl give you a list of papers. To read a paper for free, click on "Read online." You will see a preview of the paper. Scroll down a bit and click on "Read Online" again. 4. If you find the paper super-relevant to your project, click on "Save" on the top of the article. Choose the folder you just created in your Workspace and save the paper in it. If you go to your Workspace, the paper will show up in the relevant folder. 5. You can also take notes on papers in your Workspace. To do so, click on the "Add Note" button under a paper and start typing. Click on "Save" to your save your note. 6. If you already have a paper and you want to related to it, you can use Text Analyzer. To do so, click on "Tools" and select "Text Analyzer." Upload the paper you have and JSTOR will give you a list of papers related to you original paper. 7. Text Analyzer also lets you callibrate your search parameters. Adjust the priority for different terms by moving the priority scale left or right. You can more related terms and adjust their priority. Text Analyzer will update the results accordingly. 8. If you find a paper interesting, simply click on it and then select "Read Online." 9. You can also add papers to your Zotero library. Open the paper you want to add and click on the Zotero Connector in the top-right corner of your browser. Choose the Zotero collection you want to save the paper in and click on "Done." The paper will show up in your Zotero. Found this post on JSTOR helpful? • Repost to share it with your friends and colleagues. •Follow me for more posts on academic writing.

Read 100 paywalled research papers for free every month! You don't even need a university account to do this. Here's how to read paywalled papers on JSTOR for free: 1. Go to jstor(dot)org and click on "Register" in the top-right corner. You can register with your personal Google or Outlook account. Or, you can create a JSTOR account manually. 2. Once you've logged in to your JSTOR account, click on "Workspace" in the menu bar. Then click on "Create folder." Choose a name for your folder and click on "Create."Creating folders in Workspace is a great way to keep your papers organized. 3. Type in the keywords in the search bar to find relevant papers. JSTOR willl give you a list of papers. To read a paper for free, click on "Read online." You will see a preview of the paper. Scroll down a bit and click on "Read Online" again. 4. If you find the paper super-relevant to your project, click on "Save" on the top of the article. Choose the folder you just created in your Workspace and save the paper in it. If you go to your Workspace, the paper will show up in the relevant folder. 5. You can also take notes on papers in your Workspace. To do so, click on the "Add Note" button under a paper and start typing. Click on "Save" to your save your note. 6. If you already have a paper and you want to related to it, you can use Text Analyzer. To do so, click on "Tools" and select "Text Analyzer." Upload the paper you have and JSTOR will give you a list of papers related to you original paper. 7. Text Analyzer also lets you callibrate your search parameters. Adjust the priority for different terms by moving the priority scale left or right. You can more related terms and adjust their priority. Text Analyzer will update the results accordingly. 8. If you find a paper interesting, simply click on it and then select "Read Online." 9. You can also add papers to your Zotero library. Open the paper you want to add and click on the Zotero Connector in the top-right corner of your browser. Choose the Zotero collection you want to save the paper in and click on "Done." The paper will show up in your Zotero. Found this post on JSTOR helpful? • Repost to share it with your friends and colleagues. •Follow me for more posts on academic writing.

Mushtaq Bilal, PhD

31,810 görüntüleme • 2 yıl önce

Reading papers and taking notes for literature review takes a lot of time. You can install ChatGPT in your Zotero to supercharge your literature review. It will answer your questions based on papers in your library, so no fake citations or references. Here's how to do it:

Reading papers and taking notes for literature review takes a lot of time. You can install ChatGPT in your Zotero to supercharge your literature review. It will answer your questions based on papers in your library, so no fake citations or references. Here's how to do it:

Mushtaq Bilal, PhD

352,529 görüntüleme • 2 yıl önce

Systematic literature reviews take 12-18 months to complete. Looks like AI is going to fully automate systematic reviews sooner than later. SciSpace ( SciSpace) just launched an autonomous AI agent that conducts a systematic literature review with a single prompt. Go to scispace[.]com and run the following prompt: "Conduct a systematic literature review on [your topic]" SciSpace agent will generate research questions based on the PICO framework. You can review these questions and edit them according to your specific requirements. The agent will also draft screening criteria that you can edit according to your needs. Then the agent asks you to select the databases you want to use and the date range for paper. After this step, everything is fully automated. The agent will search for papers in the relevant databases, it will combine and rerank the papers. Then it will start the title and abstract screening and include the papers that meet the include criteria. In the next step, it will download the full text of included papers and screen them followed by data extraction. Based on the extracted data, it generates a complete systematic literature review and also a PRISMA diagram. It will also give you a table of papers included along with the rational for including them. The only thing that is keeping AI agents to fully automate systematic literature reviews fields is the papers behind paywalls. Check out the agent at scispace[.]com and see if you find its review useful.

Systematic literature reviews take 12-18 months to complete. Looks like AI is going to fully automate systematic reviews sooner than later. SciSpace ( SciSpace) just launched an autonomous AI agent that conducts a systematic literature review with a single prompt. Go to scispace[.]com and run the following prompt: "Conduct a systematic literature review on [your topic]" SciSpace agent will generate research questions based on the PICO framework. You can review these questions and edit them according to your specific requirements. The agent will also draft screening criteria that you can edit according to your needs. Then the agent asks you to select the databases you want to use and the date range for paper. After this step, everything is fully automated. The agent will search for papers in the relevant databases, it will combine and rerank the papers. Then it will start the title and abstract screening and include the papers that meet the include criteria. In the next step, it will download the full text of included papers and screen them followed by data extraction. Based on the extracted data, it generates a complete systematic literature review and also a PRISMA diagram. It will also give you a table of papers included along with the rational for including them. The only thing that is keeping AI agents to fully automate systematic literature reviews fields is the papers behind paywalls. Check out the agent at scispace[.]com and see if you find its review useful.

Mushtaq Bilal, PhD

41,288 görüntüleme • 1 ay önce

You can create a Grok Project, have it search for relevant research papers, and attach the good ones to your project. Because Grok 4 can parse PDFs, you can interact with the model, and it will have direct knowledge of your research.

You can create a Grok Project, have it search for relevant research papers, and attach the good ones to your project. Because Grok 4 can parse PDFs, you can interact with the model, and it will have direct knowledge of your research.

tetsuo

1,662,794 görüntüleme • 8 ay önce

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

Faheem Ullah

13,352 görüntüleme • 9 ay önce

An extra layer of clarity of surety for you to validate with your own research never hurt nobody. If you want to get the best experience out of your AI, tell it what you are trying to do and have it develop its own prompt to help you with your problem. After you use that prompt and you get an answer, ask it to critique itself for an even better answer. Especially with your own Astrology and energy!

An extra layer of clarity of surety for you to validate with your own research never hurt nobody. If you want to get the best experience out of your AI, tell it what you are trying to do and have it develop its own prompt to help you with your problem. After you use that prompt and you get an answer, ask it to critique itself for an even better answer. Especially with your own Astrology and energy!

Inspirenaire

32,398 görüntüleme • 5 ay önce

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,815 görüntüleme • 6 ay önce

Friends this is not the time to fear ai 🤖 this is the time to be curious and play with it and understand it … please 🙏 don’t put your head in the sand … there is so much you can’t control when it comes to ai 🤖 and how it will play out … but there is a lot you can control on how you work with it and use it to build something for you and your family !!! Pls If you’re finally ready to not be scared of ai pls leave a 🤖 emoji in the the chat

Friends this is not the time to fear ai 🤖 this is the time to be curious and play with it and understand it … please 🙏 don’t put your head in the sand … there is so much you can’t control when it comes to ai 🤖 and how it will play out … but there is a lot you can control on how you work with it and use it to build something for you and your family !!! Pls If you’re finally ready to not be scared of ai pls leave a 🤖 emoji in the the chat

Gary Vaynerchuk

15,340 görüntüleme • 7 ay önce

Do what you love, but learn marketing, sales, and psychology so you can actually make a living out of it. Or, use AI to do it for you because it's tedious and you want to focus on your craft:

Do what you love, but learn marketing, sales, and psychology so you can actually make a living out of it. Or, use AI to do it for you because it's tedious and you want to focus on your craft:

DAN KOE

28,003 görüntüleme • 1 yıl önce

Another weekend project: GridStore Jean Cavallera and I are building simple but useful dApps that make LUKSO more accessible and easier to use. This is GridStore, an “app store” for Grid templates. You can choose a template you like and, with a single transaction, upload it to your Universal Profile and use it as your Grid. This is made possible by LSP28 The Grid, where the configurations of your Grid are stored in a JSON file on IPFS. The value stored under your ⁩LSP28TheGrid⁨ data key stored on your Universal Profile points to your grid configuration JSON file. By adding the value of a grid template you like under the ⁩LSP28TheGriddata key, you can set immediately that template on your Grid and start customizing it, saving you time. If you have ideas for useful templates for brands, artists, influencers, or any other use case: set up the Grid on a Universal Profile, go to look up the profile, and send me the “Raw value” together with a short explanation of the Grid so it can be added to the store. Or add your own templates to the store by opening a PR: It would really help if we can create some high-quality templates that the whole community can use. You can check out the store here:

JordyDutch

14,060 görüntüleme • 4 ay önce

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

The Peel

51,632 görüntüleme • 3 ay önce

One AI skill that changes how you read academic papers. It turns every reference into a reusable writing block. I call this method: Atomic sentences. Atomic sentence = One sentence. One claim. One source. You can extract them directly from a peer-reviewed paper, vetted by authors and reviewers before it ever reaches you. It is a form of summarising the content, but the output can be reused and recombined in your writing. Here's how it works 👇 1. Upload any paper to Claude and trigger the /ea-atomic-sentences skill. It breaks down every cited reference into a single compressed claim. (Repeat on as many papers as needed) 2. Pick 5–6 sentences relevant to an argument and arrange them coherently, so it makes sense. Add your own ideas/findings as well. 3. Ask Claude to combine them into a coherent paragraph. What you get is surprisingly well-written paragraphs. Use the skill /ea-academic-writer for even better results. ✅ Every reference in that paragraph is real. ✅ Every claim was made by a human researcher. ✅ You control the narrative of what is being said in your paper, but build on the findings of others. Disclaimer: Don't skip reading, as you need to understand your domain to use this and don't rely 100% on AI, as it can make mistakes.

One AI skill that changes how you read academic papers. It turns every reference into a reusable writing block. I call this method: Atomic sentences. Atomic sentence = One sentence. One claim. One source. You can extract them directly from a peer-reviewed paper, vetted by authors and reviewers before it ever reaches you. It is a form of summarising the content, but the output can be reused and recombined in your writing. Here's how it works 👇 1. Upload any paper to Claude and trigger the /ea-atomic-sentences skill. It breaks down every cited reference into a single compressed claim. (Repeat on as many papers as needed) 2. Pick 5–6 sentences relevant to an argument and arrange them coherently, so it makes sense. Add your own ideas/findings as well. 3. Ask Claude to combine them into a coherent paragraph. What you get is surprisingly well-written paragraphs. Use the skill /ea-academic-writer for even better results. ✅ Every reference in that paragraph is real. ✅ Every claim was made by a human researcher. ✅ You control the narrative of what is being said in your paper, but build on the findings of others. Disclaimer: Don't skip reading, as you need to understand your domain to use this and don't rely 100% on AI, as it can make mistakes.

Ilya Shabanov

15,769 görüntüleme • 1 ay önce

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

Milind S

11,602 görüntüleme • 6 gün önce

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Santiago

72,306 görüntüleme • 1 yıl önce

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

Faheem Ullah

26,494 görüntüleme • 4 ay önce

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

Faheem Ullah

24,058 görüntüleme • 3 ay önce

🚨Your AI Personal CFO is here. A company called Taka just launched. Ask it a finance question (e.g. “help me create an investment strategy”), tell it what factors to consider, then it does the thinking for you and gives you a plan. What is really crazy is that it’s not a pre-set rigid output. The GUI and UI is actually generated on demand. You can literally tell it (voice or chat) what you want to see (charts, graphs, whatever) and it creates an UI for your/your prompt. You can sign up at:

🚨Your AI Personal CFO is here. A company called Taka just launched. Ask it a finance question (e.g. “help me create an investment strategy”), tell it what factors to consider, then it does the thinking for you and gives you a plan. What is really crazy is that it’s not a pre-set rigid output. The GUI and UI is actually generated on demand. You can literally tell it (voice or chat) what you want to see (charts, graphs, whatever) and it creates an UI for your/your prompt. You can sign up at:

Chidanand Tripathi

71,977 görüntüleme • 1 yıl önce

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

Jerry Liu

20,857 görüntüleme • 3 ay önce

Elon Musk: Grok can help analyze your medical scans. “I think AI is going to be incredible for medicine. Right now, you can actually upload a PET scan and ask Grok to analyze the PET scan for you. You can compare that to what a doctor tells you and see what the difference is. You can literally upload your image to Grok, and it will analyze your MRI, your PET scan, whatever the case may be, and tell you what it thinks the probable issue is. So I think it'd be really helpful to medical professionals and to individuals. I think there's a lot of amazing potential.” Source: Town Hall in Philadelphia, Pennsylvania, October 18, 2024

Elon Musk: Grok can help analyze your medical scans. “I think AI is going to be incredible for medicine. Right now, you can actually upload a PET scan and ask Grok to analyze the PET scan for you. You can compare that to what a doctor tells you and see what the difference is. You can literally upload your image to Grok, and it will analyze your MRI, your PET scan, whatever the case may be, and tell you what it thinks the probable issue is. So I think it'd be really helpful to medical professionals and to individuals. I think there's a lot of amazing potential.” Source: Town Hall in Philadelphia, Pennsylvania, October 18, 2024

ELON CLIPS

22,001 görüntüleme • 11 ay önce

One of our favorite ways to use the Audio Overviews feature is to pair it with Deep Research. Now, with just a click, you can turn your Deep Research reports into a lively conversation for learning on-the-go. Your AI hosts will summarize the material, draw connections between topics, and engage in a dynamic back-and-forth to help you make sense of complex information in a new way.

One of our favorite ways to use the Audio Overviews feature is to pair it with Deep Research. Now, with just a click, you can turn your Deep Research reports into a lively conversation for learning on-the-go. Your AI hosts will summarize the material, draw connections between topics, and engage in a dynamic back-and-forth to help you make sense of complex information in a new way.

Google Gemini

14,793 görüntüleme • 1 yıl önce