Your data lives in spreadsheets your AI couldn't read without mangling every column. Otio 2.0 now reads them directly and turns them into visualisations. CSV, TSV, XLS, XLSX, XLSM, XLSB, ODS.

@elicitorg is brilliant at finding the papers. The moment your evidence includes a YouTube interview, a podcast, or a scanned PDF - and you actually need to work across all of it - that's an Otio job. Upload anything. Ask any model. Get answers traced back to the source.

Most AI tools make you export to Excel, switch to a viz tool, then piece it back together. Otio just draws the chart in the chat. Ask for a year-on-year comparison across three reports. Bar chart appears. Every number cited back to the page. No tab-switching. No copy-paste loop. The data becomes visual without leaving the conversation.

You spent three hours synthesising twenty sources into a note that finally makes sense. Then someone asks to see it. Copy-paste into email. Already stale. Formatting breaks. Context gone. Otio Notes share as a link. No account needed to read. They can sign up right there if they want to keep building. Your research stays in one place. Sharing takes three seconds.

You already wrote the draft. Now you need to make it good. Bring your document into Otio. Edit it inline with AI. Run a critique against your sources - every claim traced to the page. Compare versions side by side. Visualise the data. This is the loop people pay to keep. Not a one-shot summary. A real refine cycle on your own work.

@NotebookLM is great until you hit the 50-source cap. Or need Claude instead of Gemini. Or your citation has to point to an exact page, not a vague passage link. Otio: every model, no source limits, one connected library instead of separate notebooks.

You find an article. Skim it. Think "I should save this." Then it vanishes into browser history forever. Otio for iPhone has an Arc-inspired in-app browser. Open any link. Reader Mode strips the noise. Long-press any passage to explain it, save it, or search further. The page goes straight into your library, cited back to the exact page you just read. No more losing the thing you almost remembered. Try it -> otio.ai/?ref=x Use code GO50V2 for 50% off Otio Go for 3 months.

@whoisjenniai writes your next sentence. Otio reads your 80 unread sources first. Different problems. Different stages. If the blank page is the easy part, you need a research workspace, not autocomplete.

Stop reading 60 pages to find out if ChatGPT hallucinated your citation. Otio answers from your uploaded sources. Every citation links to the exact passage. Click. Verified.

Nellie, a vet student at Adelaide University, runs multiple AI models side-by-side in Otio when she's decoding journal articles for research papers. She highlights a confusing section, asks the same question to @claudeai , @OpenAI , and Gemini at once, and compares their answers in parallel. Every response traces back to the exact quote in the source; no rereading the same sentence twelve times hoping it clicks. She organises her workspace by topic: uni research in one, life admin in another. All her sources stay in one place. All her models run in the same thread. That's the difference between four tabs and one workspace. Original video by Nellie (@nellieforellies on Instagram)

Jenni AI's claim confidence feature checks whether your citations match your claims - after you've already written the sentence. Otio solves the upstream problem: making sense of 80 sources before you write the first line. Different workflow stage. Different tool.

You can't run the same prompt through Claude and GPT side-by-side in ChatGPT or Claude. You lose one model's angle. 30 transcripts + 6 months of Slack exports. One question, two models, both cited. Different themes surfaced.

Perplexity searches the open web. That's fine if your source is online. But when you're working with 200 PDFs, client transcripts, or discovery files you can't feed to a search engine - you need a workspace, not a search bar. Otio is your personal knowledge management and research tool.