How do you save AI research output? Share your workflow!
Hey PH community 👋
I'm the maker of Gemini Export Studio — a Chrome extension that lets you export Gemini chats to PDF, Markdown, JSON, CSV, PNG, and Plain Text, 100% locally.
We've been live for a week now and I'm doing something a bit different: I want to build the next features directly based on how YOU work with AI output.
So tell me — when you finish a deep research session or long Gemini/ChatGPT conversation, what do you actually do with the output?
Do you:
📋 Copy-paste it into Notion or Obsidian?
📄 Screenshot it and forget about it?
📧 Email it to yourself?
🗂️ Try to organize it somehow and give up?
I'm especially curious about researchers, developers, students, and writers in this community.
Your answer directly shapes what I build next. Drop your workflow below — even a one-liner helps a ton!
Replies
Do you find most people actually go back to their saved chats, or do they just collect them and forget?
Gemini Export Studio
@nolan_patrick That's exactly the insight that shaped our roadmap! From usage patterns and user feedback, we see two camps: a small group of power users who actively revisit and search their saved chats, and a larger group who export "just in case" but rarely go back. The real unlock seems to be making retrieval effortless — that's why v1.5.0 introduces Folders and Tags so you can find what you need without digging. If you can't retrieve it in 10 seconds, it's effectively lost!
Personally, I save the prompts and the results. Most of the time, I use Notion or a basic text editor, since I rarely go back and read the output from the chats (in case it's for research), to be honest. I would always prefer to get either a PDF or a sheet, depending on the type of output and which form would be easier to read :))
Gemini Export Studio
@nour_imen_bousaid_ Love this workflow! Saving prompts + results is such a good habit — most people only save the output and forget the prompt that generated it. The PDF export is perfect for that "easy to read" format you mentioned, and with v1.5.0 you can now tag your exports by type (research, brainstorm, code review, etc.) so retrieval is much faster. The spreadsheet/CSV export works great for tabular outputs too if you're comparing options or doing structured research!
Hello Aria
My workflow has evolved a ton this year. I used to dump research into Notion, but context gets buried fast. These days I pipe key findings directly to Hello Aria (our AI assistant, launching on PH April 10th) — it keeps context across conversations, so when I ask "what did we figure out about X?" it actually knows. For longer deep-research sessions I still markdown-export and tag by project. The insight that changed how I work: treat AI output as an input to your personal knowledge base, not just a chat transcript to scroll through.
Gemini Export Studio
@sai_tharun_kakirala "Treat AI output as an input to your personal knowledge base" — that's a genuinely great framing, and it's exactly the mental model we're building towards with Gemini Studio App. The markdown-export-and-tag-by-project flow you described is perfect, and with v1.5.0's Folders that organizational step is now built directly into the extension before you even export. Congrats on the Hello Aria launch too — the context-retention use case sounds really powerful for researchers!
Most people don’t have a saving problem — they have a retrieval problem.
I’ve found the real value is structuring outputs in a way you can actually reuse later (not just exporting them).
Curious how many people here are organizing by use-case vs just storing everything.
Gemini Export Studio
@farhad_asbaghipour 100% agree — "not a saving problem, a retrieval problem" is the most precise way I've heard this described. That insight is literally what drove v1.5.0's design: Folders and Tags aren't about storing more, they're about making what you already saved findable and reusable. On your question about organizing by use-case vs storing everything — from what we see, most users dump everything in and then can't find it. The tag-by-use-case approach (research, code, brainstorm, etc.) is by far the more effective pattern. Would love to see how you'd approach it!
Gemini Export Studio
🚀 Update from the maker — v1.5.0 just shipped!
Based on all the amazing feedback here (and your workflows!), we've evolved beyond just exporting. Gemini Export Studio is now Gemini Studio App — a full AI chat workspace.
v1.5.0 new features:
📁 Folders — Organize your Gemini chats into custom folders
🏷️ Tags — Tag conversations for lightning-fast searching
📈 Activity Tab — Track your app usage and chat activity
All original export features (PDF, Markdown, JSON, CSV, PNG) + Deep Research export are still fully intact and free.
See it in action 👉 https://jumpshare.com/s/7TJnEU9CTUy1wFGzgyrg
Chrome Web Store 👉 https://chromewebstore.google.com/detail/gemini-studio-app/oondabmhecdagnndhjhgnhhhnninpagc
100% free forever — no paywalls, no account needed, 100% local processing. Would love to hear how the new folder/tagging system fits your workflow!