Complete AI Training

AI app for science and research · no coding needed

Reviewed research evidence and writing workspace

Reduce tool switching and reference errors while keeping the researcher's judgment in control.

Made for: Researchers, research groups and academic writers producing papers, reports and presentations

What Reviewed research evidence and writing workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Literature search, citation management, writing, analysis and figure creation sit in separate subscriptions, so sources, data and drafts drift apart and reviewer feedback is hard to trace.

What it gives you

Researcher-approved manuscripts, figures and reference lists linked to their sources

What you give it

Permitted literature sourcesuploaded draftsresearch datareviewer comments

Build your own version of SciSpace Agent, Ressearch AI and more

One app with what these 9 AI tools do, yours to keep and change: SciSpace Agent, Ressearch AI, SciFocus, Chirpz Agent, Bibby AI, Spine Research, Chirpz, Murfy AI, Ontosight.ai.

Everything these tools do, in one app

  • Literature search Searches academic sources to find relevant papers.Found in SciSpace Agent, Ressearch AI, SciFocus and 3 more
  • Paper summarization Generates concise summaries of papers or documents.Found in SciSpace Agent, SciFocus, Chirpz Agent
  • Citation management Inserts and formats citations, and verifies metadata.Found in SciSpace Agent, Chirpz Agent, Bibby AI and 2 more
  • Writing assistance Helps draft and edit academic text with suggestions.Found in SciSpace Agent, Ressearch AI, SciFocus and 2 more
  • Data analysis Runs statistical or code-based analysis on research data.Found in SciSpace Agent, Ressearch AI, Ontosight.ai
  • Visualization creation Creates figures, tables, or other visual outputs from data.Found in SciSpace Agent, Ressearch AI, Ontosight.ai
  • Real-time collaboration Allows multiple users to edit and share work simultaneously.Found in SciFocus, Bibby AI, Murfy AI and 1 more
  • LaTeX support Detects and fixes LaTeX errors and formats equations.Found in Bibby AI, Murfy AI
  • Reference verification Checks that references are accurate and complete.Found in Chirpz Agent, Murfy AI
  • Semantic search Finds information based on meaning rather than exact keywords.Found in Chirpz Agent, Chirpz, Ontosight.ai
  • Draft upload analysis Analyzes uploaded drafts to extract themes and search scopes.Found in Chirpz Agent
  • Source selection Lets users choose specific websites, papers, or documents for analysis.Found in Spine Research
  • Iterative research Supports building and refining reports step-by-step.Found in Spine Research
  • Outline preview Shows an editable outline before the AI starts analysis.Found in Spine Research
  • Adjustable depth Controls how thorough or fast the research process is.Found in Spine Research
  • Integrated editor Combines AI-generated content with human input in one interface.Found in Spine Research, Chirpz
  • Slide generation Creates presentation slides from paper content.Found in Murfy AI
  • Reviewer comment handling Revises papers based on reviewer feedback.Found in Murfy AI

How it works, step by step

  1. Search permitted academic sources for relevant papers
  2. Summarize selected papers with source links
  3. Extract themes and search scopes from uploaded drafts
  4. Let users choose specific sources, papers or documents for analysis
  5. Show an editable outline before analysis starts
  6. Set research depth and speed before a run
  7. Support iterative report building step by step
  8. Run statistical or code-based analysis on supplied research data
  9. Create figures and tables from analyzed data
  10. Draft and edit academic text with tracked suggestions
  11. Insert and format citations and verify metadata
  12. Check that references are accurate and complete
  13. Detect and fix LaTeX errors and format equations
  14. Generate presentation slides from paper content
  15. Revise papers against reviewer comments
  16. Support real-time multi-user editing and sharing
  17. Compare the reviewed result with the recorded baseline and value assumptions
  18. Capture corrections and named-owner approval before consequential use
  19. Export a versioned researcher-approved manuscript, figure set and reference list 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 Reviewed research evidence and writing workspace 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.

Sign in Become a member

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 Reviewed research evidence and writing workspace with you.

Have Nexibeo build it

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 build3 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 data197 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 reference errors while keeping the researcher's judgment in control. For researchers, research groups and academic writers producing papers, reports and presentations, convert permitted literature sources, uploaded drafts, research data and reviewer comments into researcher-approved manuscripts, figures and reference lists linked to their sources. The benefit is a testable hypothesis, measured through accepted manuscript sections per research hour and reference corrections after submission; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted literature sources, uploaded drafts, research data and reviewer comments, then follow this sequence: 1. Search permitted academic sources for relevant papers. 2. Summarize selected papers with source links. 3. Extract themes and search scopes from uploaded drafts. 4. Let users choose specific sources, papers or documents for analysis. 5. Show an editable outline before analysis starts. 6. Set research depth and speed before a run. 7. Support iterative report building step by step. 8. Run statistical or code-based analysis on supplied research data. 9. Create figures and tables from analyzed data. 10. Draft and edit academic text with tracked suggestions. 11. Insert and format citations and verify metadata. 12. Check that references are accurate and complete. 13. Detect and fix LaTeX errors and format equations. 14. Generate presentation slides from paper content. 15. Revise papers against reviewer comments. 16. Support real-time multi-user editing and sharing. Resolve uncertain cases with qualified reviewers, approve researcher-approved manuscripts, figures and reference lists linked to their sources, and measure accepted manuscript sections per research hour and reference corrections after submission 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 statistical interpretation, authorship decisions and submission remain with the researcher. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Researchers approve substantive changes and submission scope. One research domain and one manuscript format; final statistical interpretation, authorship decisions and submission 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 research domain and one manuscript format; final statistical interpretation, authorship decisions and submission remain with the researcher. Implement one approved input format, a bounded representative case set and the first three task modules: search permitted academic sources for relevant papers; summarize selected papers with source links; extract themes and search scopes from uploaded drafts. 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

Researcher-owned drafts, authorized data sets and permitted literature sources. Reference managers, cloud storage, LaTeX editors and publishing destinations. Start with file exchange and validate destination specifications before promising direct submission. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Research brief and source selection, Editable evidence workspace, Reviewed deliverable and export. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, data, constraints and comments. Let users compare outline, draft and revised versions side by side. Display draft, changes requested and approved states. Provide a shared review link with comments anchored to the relevant passage, figure or reference. Make the task-specific outcome researcher-approved manuscripts, figures and reference lists linked to their sources visible beside its evidence, review state and value baseline.