AI app for science and research · no coding needed
Research reading and source stewardship console
Reduce repeated reading and citation rework while keeping sources traceable.
Made for: Researchers, analysts and research teams who read, summarize and cite large volumes of documents and web pages
What it does for you
The problem
Sources, summaries, notes and citations live in separate tools, so reading work is repeated and provenance is lost.
What it gives you
Reviewer-approved source library with linked summaries, citations and annotations
What you give it
Licensed documentsweb pagesmedia filesreading notes
Build your own version of Genei, TLDR This and more
One app with what these 6 AI tools do, yours to keep and change: Genei, TLDR This, Gimme Summary AI, Unriddle, BearlyAI, Petal.
Everything these tools do, in one app
- Text summarization Condenses long documents or web pages into short, easy-to-read summaries.Found in Genei, TLDR This, Gimme Summary AI and 2 more
- Webpage summarization Generates a summary of any web page directly from the browser.Found in Genei, TLDR This, Gimme Summary AI and 2 more
- Browser extension Adds summarization and saving tools to the web browser for quick access.Found in Genei, TLDR This, Gimme Summary AI and 1 more
- Document management Organizes, stores, and manages documents in one place.Found in Genei, Petal
- Metadata extraction Automatically pulls details like author, publication date, and reading time from content.Found in TLDR This, Petal
- Paraphrasing Rewrites text in a different style or tone.Found in Genei, TLDR This
- Citation management Generates references and helps manage citations for proper sourcing.Found in Genei, Unriddle
- Search within documents Finds specific information inside a large collection of documents.Found in Genei, Unriddle
- Question answering Answers questions based on the content of your documents.Found in Genei, Petal
- Collaboration tools Lets teams annotate, comment, and share documents for joint work.Found in Unriddle, Petal
- Annotation Allows users to add notes and comments directly on documents.Found in Genei, Petal
- Multi-format support Reads and extracts information from PDFs, images, audio, video, and handwritten documents.Found in Unriddle
- Multilingual support Works with content in over 90 languages.Found in Unriddle
- Writing assistance Helps write and edit text with auto-completion and suggestions.Found in Unriddle
- Content generation Creates counterarguments, headlines, and other written content.Found in BearlyAI
- Media transcription Transcribes audio and video and generates meeting minutes.Found in BearlyAI
- Clickbait filtering Filters out weak arguments and clickbait to focus on core information.Found in TLDR This
- Keyboard shortcut Activates the summarization tool quickly with a key combination.Found in Gimme Summary AI
How it works, step by step
- Summarize long documents and web pages
- Summarize the current web page from a browser extension
- Save and organize sources in one searchable library
- Extract author, date, publication and reading-time metadata
- Paraphrase passages in a chosen style or tone
- Generate references and manage citations
- Search across the whole document collection
- Answer questions from stored document content
- Annotate and comment on passages
- Share sources for team annotation and review
- Read PDFs, images, audio, video and handwriting
- Handle content in many languages
- Assist writing with completions and edit suggestions
- Generate counterarguments, headlines and draft text
- Transcribe audio and video into minutes
- Filter weak arguments and clickbait
- Trigger summarization by keyboard shortcut
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved source library with source 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 Research reading and source 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 Research reading and source 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 links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 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 repeated reading and citation rework while keeping sources traceable. For researchers, analysts and research teams who read, summarize and cite large volumes of documents and web pages, convert licensed documents, web pages, media files and reading notes into a reviewer-approved source library with linked summaries, citations and annotations. The benefit is a testable hypothesis, measured through accepted summaries per research hour and citation corrections after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed documents, web pages, media files and reading notes, then follow this sequence: 1. Summarize long documents and web pages. 2. Extract author, date, publication and reading-time metadata. 3. Save and organize sources in one searchable library. 4. Generate references and manage citations. 5. Annotate and comment on passages. Resolve uncertain cases with qualified reviewers, approve a reviewer-approved source library with linked summaries, citations and annotations, and measure accepted summaries per research hour and citation corrections after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for metadata parsing, citation formatting, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved input format and one citation style per pilot; final source checks and citation accuracy remain editorial. 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 changes and publication scope. One approved input format and one citation style; final source checks and citation accuracy remain editorial. 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 approved input format and one citation style; final source checks and citation accuracy remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: summarize long documents and web pages; extract author, date, publication and reading-time metadata. Support the remaining modules with operator review: save and organize sources in one searchable library; generate references and manage citations; annotate and comment on passages. 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, authorized web pages and permitted research sources. Cloud file storage, reference manager 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 metadata, Reading and annotation workspace, Review and export. Use a searchable library list for sources, a large central reading canvas, and a right-hand panel for summaries, citations, annotations and questions. Let users compare source text against generated summaries side by side. Display draft, changes requested and approved states. Provide a shared team view with comments anchored to the relevant passage. Make the task-specific outcome reviewer-approved source library with linked summaries, citations and annotations visible beside its evidence, review state and value baseline.
