AI app for science and research · no coding needed
Source-linked research answer workbench
Reduce time spent finding and verifying cited answers while keeping sources and notes in one owned workspace.
Made for: Research teams and analysts who need cited answers from live web and internal sources
What it does for you
The problem
Answers are scattered across search tools, citations are hard to verify, and research notes live in separate apps.
What it gives you
Reviewed, source-linked answers with citations and notes
What you give it
Natural-language questionslive web resultsuploaded documentsinternal datasets
Build your own version of ThinkAny, Phind and more
One app with what these 10 AI tools do, yours to keep and change: ThinkAny, Phind, You.com, Activeloop AI Knowledge Agent, Metaphor, Poe, Rixx, Claude Web Search, GigaBrain, Teach Anything.
Everything these tools do, in one app
- Natural language querying Allows users to ask questions in plain language and receive relevant answers.Found in ThinkAny, Phind, You.com and 7 more
- Live web search Retrieves current information from the internet in real time.Found in Phind, You.com, Metaphor and 3 more
- Source citations Includes references to the sources used in the answers for verification.Found in You.com, Rixx, Claude Web Search and 1 more
- Multi-step reasoning Breaks down complex questions into steps to provide thorough answers.Found in Phind
- Visual result presentation Displays answers with images, diagrams, or cards to aid understanding.Found in Phind, Rixx
- Autonomous follow-up searches Automatically performs additional searches to deepen or complete answers.Found in Phind
- Integrated calculation and visualization Allows performing calculations and creating visualizations within the tool.Found in Phind
- Personalized search results Tailors search results to individual user preferences or context.Found in You.com, Metaphor
- Privacy-focused search Ensures that personal data and search history remain private.Found in You.com
- Integrated AI tools Provides specialized tools for tasks like coding, writing, and image generation.Found in You.com
- Scalable data management Handles and organizes large datasets efficiently.Found in Activeloop AI Knowledge Agent
- Integration with data science tools Connects with popular data science frameworks and environments.Found in Activeloop AI Knowledge Agent
- Automated knowledge extraction Automatically extracts key information from data to speed up analysis.Found in Activeloop AI Knowledge Agent
- API integration Offers API endpoints for developers to integrate search capabilities into applications.Found in Metaphor
- Multi-AI model access Allows users to interact with multiple AI models within one platform.Found in Poe
- Conversational interaction Supports back-and-forth dialogue for follow-up questions and deeper discussions.Found in Poe
- Multimodal input Accepts text, images, and documents as part of the query context.Found in Rixx
- Organizational folders Helps users collect and structure research findings and notes.Found in Rixx
- Export and publishing Turns research into blogs, reports, or other shareable formats.Found in ThinkAny, Rixx
- Community feedback Allows users to rate the relevance of answers to improve results.Found in GigaBrain
- Question posting to communities Enables users to post their questions to relevant online communities for broader input.Found in GigaBrain
- Browser extension Integrates the tool into the web browser for easy access.Found in GigaBrain
- Language and difficulty options Allows users to select their preferred language and difficulty level for answers.Found in Teach Anything
How it works, step by step
- Accept natural-language questions
- Run live web searches in real time
- Attach source citations to each claim
- Break complex questions into reasoning steps
- Present answers with images, diagrams and cards
- Run autonomous follow-up searches
- Perform calculations and create visualizations
- Personalize results to user context
- Keep search history private
- Provide specialized tools for coding, writing and image tasks
- Handle and organize large datasets
- Connect to data science frameworks
- Extract key information from uploaded data
- Expose API endpoints for integration
- Access multiple AI models in one place
- Support back-and-forth dialogue
- Accept text, images and documents as input
- Organize findings into folders
- Export research as reports or posts
- Collect relevance ratings on answers
- Post questions to relevant communities
- Provide a browser extension
- Offer language and difficulty options
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, source-linked answers with citations and notes 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 Source-linked research answer workbench 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 Source-linked research answer workbench 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 Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 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 finding and verifying cited answers while keeping sources and notes in one owned workspace. For research teams and analysts who need cited answers from live web and internal sources, convert natural-language questions, live web results, uploaded documents and internal datasets into reviewed, source-linked answers with citations, notes and exports. The benefit is a testable hypothesis, measured through verified answers per research hour and citation accuracy after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect natural-language questions, live web results, uploaded documents and internal datasets, then follow this sequence: 1. Accept natural-language questions. 2. Run live web searches in real time. 3. Attach source citations to each claim. 4. Break complex questions into reasoning steps. 5. Present answers with images, diagrams and cards. 6. Run autonomous follow-up searches. 7. Perform calculations and create visualizations. 8. Personalize results to user context. 9. Keep search history private. 10. Provide specialized tools for coding, writing and image tasks. 11. Handle and organize large datasets. 12. Connect to data science frameworks. 13. Extract key information from uploaded data. 14. Expose API endpoints for integration. 15. Access multiple AI models in one place. 16. Support back-and-forth dialogue. 17. Accept text, images and documents as input. 18. Organize findings into folders. 19. Export research as reports or posts. 20. Collect relevance ratings on answers. 21. Post questions to relevant communities. 22. Provide a browser extension. 23. Offer language and difficulty options. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked answers with citations and notes, and measure verified answers per research hour and citation accuracy 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 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 source policy and licensed content set; final fact and citation checks 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 source policy and licensed content set; final fact and citation checks 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 source policy and licensed content set; final fact and citation checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: accept natural-language questions; run live web searches in real time. Support the third module with operator review: attach source citations to each claim. 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 sources and permitted internal datasets. Cloud storage, data science environments 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: Query and source setup, Answer and citation review, Library and export. Use a question list, a central answer canvas with inline citations, and a right-hand panel for sources, reasoning steps and comments. Let users compare answer versions and follow-up threads. Display draft, changes requested and approved states. Provide a shared workspace link with comments anchored to the relevant claim. Make the task-specific outcome reviewed, source-linked answers with citations and notes visible beside its evidence, review state and value baseline.
