AI app for science and research · no coding needed
Searchable research library and data stewardship console
Reduce time spent re-finding and re-reading saved material while keeping source provenance and review state attached.
Made for: Research teams and knowledge workers who save material from many sources and need to retrieve, summarize and question it later
What it does for you
The problem
Saved articles, papers, videos, notes and datasets sit in disconnected tools, so teams cannot search across them, trace where a claim came from, or reuse prior work reliably.
What it gives you
A searchable, source-linked library with reviewed summaries and answers
What you give it
Permitted linksarticlesvideosPDFsnotesimagesconnected-app items
Build your own version of Recall, SaveDay and more
One app with what these 10 AI tools do, yours to keep and change: Recall, SaveDay, Findr: remember everything, Corgi AI, Briefy, Second Brain, Cubox AI 3.0, Remem AI, Deepmark, Finden.
Everything these tools do, in one app
- Save diverse content Lets users store links, articles, videos, PDFs, notes, images, and other items in one place.Found in Recall, SaveDay, Findr: remember everything and 7 more
- Summarize saved content Condenses long articles, videos, podcasts, or documents into short key points.Found in Recall, SaveDay, Corgi AI and 2 more
- Chat with saved content Lets users ask questions and get answers drawn from their own saved material.Found in Recall, SaveDay, Corgi AI and 4 more
- Natural language search Finds saved items by describing them in plain words instead of exact keywords or titles.Found in SaveDay, Findr: remember everything, Briefy and 4 more
- Unified search across sources Searches across multiple connected apps, drives, or accounts from one query.Found in Findr: remember everything, Deepmark, Finden
- Import from other apps Pulls in content from external services such as Gmail, Slack, Linear, Notion, Obsidian, or browser bookmarks.Found in Findr: remember everything, Cubox AI 3.0, Remem AI and 1 more
- Video and audio processing Reads videos and audio by transcribing speech, extracting timestamps, or describing frames.Found in Recall, Corgi AI, Deepmark
- Knowledge graph linking Automatically connects related concepts or memories so related items appear together.Found in Recall, Remem AI
- Visual board organization Shows saved content on a visual canvas or wall that users can arrange and browse.Found in Findr: remember everything, Second Brain
- Tags and projects Groups saved items with tags or project folders for easier retrieval.Found in Second Brain
- Spaced repetition Schedules reviews of saved material to help users remember it long term.Found in Recall
- Proactive reminders Surfaces relevant saved information on its own when it may be useful.Found in Findr: remember everything
- Scheduled digests Sends regular summary emails to help users revisit past saves.Found in Cubox AI 3.0
- Multiple summary views Presents summaries as overviews, tables, mindmaps, or timelines to suit different preferences.Found in Briefy
- Action-ready outputs Turns saved content into briefs, clips, watchlists, or plans users can act on.Found in Corgi AI
- Cross-device sync Keeps saved content available across phones, tablets, computers, and the web.Found in Cubox AI 3.0, Briefy
- Browser extension saving Adds a browser button to quickly save web pages into the tool.Found in Second Brain
- AI agent access Lets external AI agents query the user's saved library directly.Found in Deepmark
How it works, step by step
- Save links, articles, videos, PDFs, notes and images in one library
- Summarize long articles, videos, podcasts and documents into key points
- Answer questions using only the user's saved material
- Search by plain-language description instead of exact keywords
- Search across connected apps, drives and accounts from one query
- Import from Gmail, Slack, Notion, Obsidian, bookmarks and similar services
- Transcribe video and audio and extract timestamps and frame descriptions
- Link related concepts and items into a browsable knowledge graph
- Arrange saved items on a visual board or wall
- Group items with tags and project collections
- Schedule spaced reviews of saved material
- Surface relevant saved items proactively when they may be useful
- Send scheduled digest summaries of past saves
- Present summaries as overviews, tables, mindmaps or timelines
- Turn saved content into briefs, clips, watchlists or plans
- Sync saved content across phones, tablets, computers and the web
- Save web pages through a browser extension button
- Let authorized external AI agents query the library through a documented interface
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned, source-linked library view with references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Searchable research library and data stewardship console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Searchable research library and data stewardship console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce time spent re-finding and re-reading saved material while keeping source provenance and review state attached. For research teams and knowledge workers who save material from many sources and need to retrieve, summarize and question it later, convert permitted links, articles, videos, PDFs, notes, images and connected-app items into a searchable, source-linked library with reviewed summaries and answers. The benefit is a testable hypothesis, measured through time to retrieve a verified source and accepted answers per review hour; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted links, articles, videos, PDFs, notes, images and connected-app items, then follow this sequence: 1. Save links, articles, videos, PDFs, notes and images in one library. 2. Summarize long articles, videos, podcasts and documents into key points. 3. Answer questions using only the user's saved material. 4. Search by plain-language description instead of exact keywords. 5. Search across connected apps, drives and accounts from one query. Resolve uncertain cases with qualified reviewers, approve the searchable, source-linked library with reviewed summaries and answers, and measure time to retrieve a verified source and accepted answers per review hour against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate summaries, answers and links for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed input set and permitted source list; final accuracy, citation and interpretation checks remain with the researcher. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Researchers approve substantive interpretations and publication scope. One fixed input set and permitted source list; final accuracy, citation and interpretation checks remain with the researcher. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed input set and permitted source list; final accuracy, citation and interpretation checks remain with the researcher. Implement one approved import format, a bounded representative case set and the first two task modules: save links, articles, videos, PDFs, notes and images in one library; summarize long articles, videos, podcasts and documents into key points. Support the remaining modules with operator review: answer questions using only the user's saved material; search by plain-language description; search across connected apps, drives and accounts. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Author-owned documents, permitted research sources and connected apps such as Gmail, Slack, Notion, Obsidian and browser bookmarks. Cloud storage, file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Library intake and sources, Search and ask workspace, Item and collection review. Use a thumbnail and list gallery for saved items, a large central reading and question canvas, and a right-hand panel for tags, collections, provenance and comments. Let users compare summaries against the source text side by side. Display draft, needs review, verified and archived states. Provide a shared collection link with comments anchored to the relevant item or passage. Make the task-specific outcome a searchable, source-linked library with reviewed summaries and answers visible beside its evidence, review state and value baseline.
