AI app for science and research · no coding needed
Source-linked research and document assistant console
Reduce tool switching and re-checking while keeping every claim linked to a source.
Made for: Research teams, analysts and administrators who manage documents and produce evidence-backed content
What it does for you
The problem
Research, document management and content production sit in separate rented tools, so sources, drafts and approvals are hard to trace and data is spread across vendors.
What it gives you
Reviewed, source-linked drafts, summaries and reports
What you give it
Permitted documentsdatasetsnotesorganizational files
Build your own version of AI Assistant, Sol-A. and more
One app with what these 10 AI tools do, yours to keep and change: AI Assistant, Sol-A., Workspace by Portal Labs, Claude for Desktop, Findr 2.0, Research Studio, Deskrib.Ai, Slite - Ask, MobileGPT 2.0, Copilotly.
Everything these tools do, in one app
- Natural Language Interaction Allows users to interact with the AI using everyday language for queries and commands.Found in AI Assistant, Sol-A., Claude for Desktop and 3 more
- Content Generation Automatically creates various types of content such as documents, articles, and emails.Found in AI Assistant, Sol-A., Findr 2.0 and 2 more
- Research Assistance Helps users find and summarize information for research purposes.Found in AI Assistant, Deskrib.Ai, Copilotly
- Document Management Organizes and provides access to files and documents efficiently.Found in AI Assistant, Workspace by Portal Labs, Research Studio and 1 more
- Mobile App Provides a mobile application for access on smartphones and tablets.Found in AI Assistant, MobileGPT 2.0
- Third-Party Integrations Connects with other popular applications and services to enhance workflow.Found in Sol-A., Workspace by Portal Labs, Findr 2.0 and 2 more
- Real-Time Collaboration Enables multiple users to work together on projects simultaneously.Found in Sol-A., Workspace by Portal Labs
- Data Analysis Analyzes data and provides visualizations and reports.Found in Sol-A., Research Studio
- Task Automation Automates repetitive tasks and sends smart reminders to keep projects on track.Found in Workspace by Portal Labs
- Customizable Dashboards Provides customizable dashboards for real-time project insights.Found in Workspace by Portal Labs
- Multi-Tasking Support Allows users to handle multiple requests or conversations simultaneously.Found in Claude for Desktop, MobileGPT 2.0
- Offline Mode Enables basic functions without an internet connection.Found in Claude for Desktop, MobileGPT 2.0
- Customizable Settings Allows users to adjust response length, style, and other preferences.Found in Claude for Desktop, MobileGPT 2.0
- Privacy and Security Ensures user data privacy and security during interactions.Found in Claude for Desktop
- Instant Answers Provides quick answers to questions based on organizational data.Found in Findr 2.0, Slite - Ask
- Multi-Format Support Supports various file formats and languages for data upload and analysis.Found in Research Studio, Slite - Ask
- Sentiment Analysis Analyzes the sentiment of text data.Found in Research Studio
- Persona Generation Generates detailed personas from research data.Found in Research Studio
- Cloud Sync Syncs work across devices via the cloud.Found in Research Studio
- Knowledge Gap Identification Highlights potential gaps in documentation.Found in Slite - Ask
How it works, step by step
- Accept natural-language queries and commands
- Generate documents, articles and emails
- Find and summarize research information
- Organize and retrieve files and documents
- Provide a mobile app for phones and tablets
- Connect third-party applications and services
- Support real-time multi-user collaboration
- Analyze data and produce visualizations and reports
- Automate repetitive tasks and send reminders
- Provide customizable dashboards for project insights
- Handle multiple requests and conversations at once
- Enable basic functions offline
- Adjust response length, style and preferences
- Apply privacy and security controls to interactions
- Give instant answers from organizational data
- Support multiple file formats and languages
- Analyze sentiment in text data
- Generate personas from research data
- Sync work across devices via the cloud
- Highlight potential gaps in documentation
- 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 drafts, summaries and reports 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 and document assistant 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 Source-linked research and document assistant 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 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 tool switching and re-checking while keeping every claim linked to a source. For research teams, analysts and administrators who manage documents and produce evidence-backed content, convert permitted documents, datasets, notes and organizational files into reviewed, source-linked drafts, summaries and reports. The benefit is a testable hypothesis, measured through accepted outputs per reviewer hour and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted documents, datasets, notes and organizational files, then follow this sequence: 1. Accept natural-language queries and commands. 2. Find and summarize research information. 3. Generate documents, articles and emails. 4. Analyze data and produce visualizations and reports. 5. Highlight potential gaps in documentation. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked drafts, summaries and reports, and measure accepted outputs per reviewer hour and corrections after approval 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 arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final research judgments, document approvals and publication scope remain human. 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 changes and publication scope. One approved document set and one language; final research judgments, document approvals and publication scope remain human. 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 document set and one language; final research judgments, document approvals and publication scope remain human. Implement one approved input format, a bounded representative case set and the first three task modules: accept natural-language queries and commands; find and summarize research information; generate documents, articles and emails. Support the remaining modules with operator review. 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
Customer-owned documents, authorized datasets and permitted research sources. Cloud document 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: Source intake and permissions, Assistant workspace, Admin console and delivery. Use a thumbnail gallery for projects and documents, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant source. Make the task-specific outcome reviewed, source-linked drafts, summaries and reports visible beside its evidence, review state and value baseline.
