AI app for science and research · no coding needed
Branching research workspace with cited reports
Keep branching exploration and its evidence in one owned workspace.
Made for: Researchers, analysts and research teams exploring a topic through branching AI conversations
What it does for you
The problem
Branching AI conversations scatter findings across threads, so sources, context and reusable notes are lost between sessions.
What it gives you
Cited, versioned research report with a linked evidence graph
What you give it
Permitted sourcesconversation branchesreviewer notes
Build your own version of Innogath, Rabbitholes and more
One app with what these 6 AI tools do, yours to keep and change: Innogath, Rabbitholes, Subgrapher, Agnes AI, DiveDeck.AI, Flowith Canvas.
Everything these tools do, in one app
- Branching conversations Lets you follow multiple conversation paths from one discussion instead of restarting a single thread.Found in Innogath, Rabbitholes, DiveDeck.AI
- Visual idea graph Shows ideas and branches as a visual map so you can see how threads relate.Found in Innogath, Rabbitholes, Flowith Canvas
- Infinite canvas workspace Provides a large spatial workspace for arranging chats, ideas, and projects.Found in Rabbitholes, Flowith Canvas
- Structured report output Turns research into a readable, book-style report.Found in Innogath
- Source citations and timestamps Attaches citations and timestamps to sources so you can judge how current a claim is.Found in Innogath
- Branching pages with context Creates child pages that inherit parent context and can be re-grounded with new sources.Found in Innogath
- Linked notes Connects notes to research so follow-up work stays in context.Found in Innogath
- Node-based chat Continues research as linked chat nodes without starting over from a blank thread.Found in Innogath
- Export options Exports work in formats such as Markdown, PDF, DOCX, or ZIP for handoff and archiving.Found in Innogath
- Multi-model support Lets you switch between different AI models for tailored responses.Found in Rabbitholes
- Local data saving Saves progress locally for continuity and easy reference.Found in Rabbitholes, Subgrapher
- Local-first knowledge graph Stores and links research and references locally under the user's control.Found in Subgrapher
- Shareable references Lets users publish, fork, and import shared references.Found in Subgrapher
- Integrated organizer and mail Combines a mail-style client and personal organizer for time and event management.Found in Subgrapher
- Decentralized messaging and voting Supports messaging and community voting to help with discovery and curation.Found in Subgrapher
- Local model interaction Lets you interact with local models through a remote interface to assist reasoning.Found in Subgrapher
- Real-time co-editing Lets multiple people edit documents and slides together in real time.Found in Agnes AI
- Shared memory Retains context across threads and projects for long-term collaboration.Found in Agnes AI, Flowith Canvas
- Multi-agent content generation Generates reports, visuals, and presentations from a single query.Found in Agnes AI
- Cross-device collaboration Works across devices for live or asynchronous teamwork.Found in Agnes AI
- AI-generated content decks Builds structured learning decks from topics, concepts, or questions.Found in DiveDeck.AI
- Non-linear learning paths Allows branching into related subjects and exploring at your own depth.Found in DiveDeck.AI
- Multi-step agent tasks Delegates multi-step work to an agent that maintains a large contextual scope.Found in Flowith Canvas
- Web clipping Captures external research into the workspace.Found in Flowith Canvas
- Real-time sharing and commenting Supports sharing and commenting for collaborative work.Found in Flowith Canvas
How it works, step by step
- Start branching conversations from one topic
- Map ideas and branches as a visual graph
- Arrange chats, notes and projects on an infinite canvas
- Create child pages that inherit parent context and can be re-grounded with new sources
- Attach citations and timestamps to sources
- Link notes to the research they came from
- Continue research as linked chat nodes without restarting
- Switch between permitted AI models for tailored responses
- Save progress locally for continuity
- Store and link research and references in a local-first knowledge graph
- Publish, fork and import shared references
- Capture external research through web clipping
- Support real-time co-editing of documents and decks
- Retain shared memory across threads and projects
- Generate reports, visuals and presentations from one query
- Build structured learning decks with non-linear paths
- Delegate multi-step work to an agent with a large contextual scope
- Export to Markdown, PDF, DOCX or ZIP
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned cited, versioned research report with a linked evidence graph 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 Branching research workspace with cited reports 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 Branching research workspace with cited reports 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 Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data200 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
Keep branching exploration and its evidence in one owned workspace. For researchers, analysts and research teams exploring a topic through branching AI conversations, convert permitted sources, conversation branches and reviewer notes into a cited, versioned research report with a linked evidence graph. The benefit is a testable hypothesis, measured through accepted report sections per research hour and unsupported claims found in review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted sources, conversation branches and reviewer notes, then follow this sequence: 1. Start branching conversations from one topic. 2. Map ideas and branches as a visual graph. 3. Attach citations and timestamps to sources. 4. Create child pages that inherit parent context and can be re-grounded with new sources. 5. Link notes to the research they came from. 6. Generate a structured report from the reviewed branches. Resolve uncertain cases with qualified reviewers, approve cited, versioned research report with a linked evidence graph, and measure accepted report sections per research hour and unsupported claims found in review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 citation format and permitted model set; final source checks and claims 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. Named reviewers approve substantive claims and publication scope. One fixed citation format and permitted model set; final source checks and claims 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 fixed citation format and permitted model set; final source checks and claims remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: start branching conversations from one topic; map ideas and branches as a visual graph. Support the third module with operator review: attach citations and timestamps to sources. 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 sources, permitted databases and authorized interviews. Cloud storage, document 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: Topic and source intake, Branching canvas, Evidence graph, Report workspace, Review and export. Use a project gallery, a large spatial canvas for branches and nodes, and a right-hand panel for sources, citations, notes and comments. Let users compare branches side by side and re-ground a branch with new sources. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant node or claim. Make the task-specific outcome cited, versioned research report with a linked evidence graph visible beside its evidence, review state and value baseline.
