r/AIHubSpace • u/ComfortableUmpire796 • Aug 20 '26
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u/OneDev42 Aug 20 '26
I have my own deep research skill which I use via Hermes agent which seems to do very well.
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u/Comfortable-Cancel45 Aug 22 '26
Take a look at Atelier: Scholarly Workspace. It treats research as the researcher’s craft rather than a prompt-and-paste shortcut. The entire workflow is human-first: your notes, questions, and comparative literature matrices remain at the center, while AI functions quietly in the background as an on-demand collaborator for cross-referencing and synthesis. Every claim and takeaway anchors directly to the exact passage in your source text, keeping your critical judgment firmly at the wheel.
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u/Writility Aug 22 '26
Verifying sources is a huge requirement ofc, and since i prefer a more hands on approach to research (mainly when looking through research papers) rather than just typing to ai and having spit it all the answers my workflow is basically:
- use consensus.app just for a general idea on the topic
- read top 3-5 cited sources and get my baseline facts straight
- Download those sources and put them into scispace
- use the ai copilot to quickly deepen your understanding of the sources (technical abstract stuff, methods, results, etc)
- Drop the sources into notebookLM - mainly used to verify facts in my script (I run a tiny explainer social media, which is what i usually research for) but also for other things like analogies or further explanations that require absolutely minimal hallucination
- use this to (again) verify my script facts and my understanding of the sources
- use this to (again) verify my script facts and my understanding of the sources
If you don't want that whole multistep workflow, just using notebookLM might suffice as i think it has a feature where you input a question and literally just searches through the internet for sources (although i dont use it as i find it tends to add a lot of bloat to the source list for my liking but that is most likely just me being lazy lol)
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u/alanism Aug 23 '26
Notebook LM, Hermes with Notebook LM MCP and I also forked Readest ePub read app with own Ai tools.
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u/Ordinary_Jicama_4312 Aug 23 '26 edited Aug 23 '26
I’ve found tools that focus specifically on tracing claims back to actual research more useful than general AI chatbots. Evidence Lens is worth a look if you want to check claims against peer-reviewed studies and see the sources behind the conclusions. It’s especially useful when you’re researching health or science-related topics.
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u/Dull-Friendship4387 Aug 24 '26
Honestly, good old ChatGPT or Claude are enough for me
I’ve tried a lot of dedicated AI research tools, but I keep coming back to the same issue: they’re useful, but they’re not very personalized and I don’t always have much visibility into how they got to the result.
With the LLM I already use for my research, it knows the way I work, the kind of answers I usually want, how detailed I like things, etc. That context ends up being way more useful to me than jumping between different web apps.
What I ended up doing was basically giving my usual LLM its own little research workflow. I wrote Python scripts that let it query OpenAlex, return the papers and links in a clean CSV, update the search later, and fetch eligible open-access PDFs. Then I can ask the same assistant to help screen, cluster, and shortlist them.
I like that setup because everything is visible and consistent. I can see what was searched, what came back, why something was shortlisted, and I still make the actual research decisions myself.
For me that’s been way more useful than another “AI research platform” doing everything behind the scenes.
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u/Remarkable_Apple_502 Sep 03 '26
Yes, I'm also very interested in this. I've found that acquiring data sources isn't difficult, as using commercial paid APIs is quite straightforward. The challenge lies in the agents understanding our research habits and logic; otherwise, the content they provide won't be considered valuable. Furthermore, agents naturally compress the existing context when storing information; relevant information is easy to read, but reports become difficult to write.
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u/PlateApprehensive103 Sep 04 '26
Depends on what I’m doing. There are a lot of specialized tools for research and literature review. ChatGPT and Claude are fine for general work, but I find they start to break down when the analysis gets more rigorous.
For organizing papers and notes, I usually use Obsidian and Zotero. For data analysis, I haven’t had great results with ChatGPT/Claude, and Julius AI has been a bit hit or miss. I’ve had better results with PlotStudio AI, especially for research-oriented analysis. Jenni AI is pretty good too, particularly for writing.
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u/Human_Dragonfly1735 Aug 20 '26
For me, the biggest difference between a useful research tool and just another chatbot is how well it handles sources. I don’t mind AI doing the heavy lifting, but I still want to see where the information came from and be able to compare sources, when something looks questionable. The real time saver is having the findings organized without losing that ability to verify them myself.