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.

chat with your PDFs on your phone every AI model, no upload limits, answers cited to the exact page AI research app for iPhone - link in reply otio.ai/mobile

@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.

Try it free today → otio.ai/?ref=x Download on the App Store → apple.co/4uZK7vp

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.

Try Otio free → otio.ai/?ref=x Download on the App Store → apple.co/4uZK7vp

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.

Google just dropped Gemma 4 12B - multimodal model that ditches the vision encoder and supposedly runs on 16GB of VRAM. HN commenters are split: half excited about a locally runnable multimodal model, half calling the memory claim a marketing spin once you factor in quantization and context overhead. blog.google/innovation-and-a…

Try Otio free → otio.ai/?ref=x

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.

Otio is the AI research assistant for iPhone and desktop - built to summarize articles, YouTube videos, and PDFs across every AI model, in one place. Upload anything: PDFs, web pages, YouTube links, podcasts, or notes. Chat across all your sources at once, with every answer linked back to the original. Pick your model - Claude, GPT, Gemini, or Otio Auto - on any plan. What Otio does: • Summarize any article or webpage • Summarize any YouTube video • Read and chat with PDFs • Take structured notes from your sources • Visualise the data inside your documents • Cite every claim back to the page it came from Built for students, lawyers, writers, consultants, researchers, and anyone with too many sources to read.

Otio 2.0 for iPhone - the web workflow. One-tap summarise any page. Tap any image to have it explained. Highlight any text → ask Otio or send to web search. The web becomes part of your research, not a tab you forget. App Store link in reply.