Complete AI Training

AI app for science and research · no coding needed

Research watchlist change briefing service

Reduce the time spent finding and reading new research while keeping a traceable record of what changed.

Made for: Research teams, analysts and knowledge workers who must track new papers, news and developments across many sources

What Research watchlist change briefing service looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Relevant papers, news and updates arrive across many sources, so tracking what changed and why it matters consumes time and is easily missed.

What it gives you

Reviewed change briefings linked to their sources

What you give it

Permitted source feedsdeclared interestssaved briefs

Build your own version of GoatStack.AI, GoatStack and more

One app with what these 7 AI tools do, yours to keep and change: GoatStack.AI, GoatStack, SmartXiv, Hugging Face Daily Papers, A01, Zetik, Inspiration by Mind Dock.

Everything these tools do, in one app

  • Content aggregation Collects articles, papers, and updates from many sources into one place.Found in GoatStack.AI, GoatStack, A01 and 2 more
  • Topic customization Lets users specify interests so they receive relevant content.Found in GoatStack, A01, Zetik
  • AI summaries Generates concise summaries of research papers or articles.Found in GoatStack, SmartXiv
  • Personalized delivery Sends tailored newsletters or briefs to the user's inbox.Found in GoatStack, Zetik
  • Search functionality Allows users to find specific papers or articles using keywords or natural language.Found in SmartXiv, Hugging Face Daily Papers
  • Expert curation Hand-selects quality papers or content by community members or experts.Found in Hugging Face Daily Papers
  • Random discovery Presents random papers or topics to encourage exploration.Found in Hugging Face Daily Papers
  • Author interaction Enables discussions with paper authors or community members.Found in Hugging Face Daily Papers
  • Related resources Provides links to associated models, datasets, or demos.Found in Hugging Face Daily Papers
  • Reference management integration Connects with reference management tools for seamless workflow.Found in SmartXiv
  • Annotation tools Allows highlighting and annotating within documents.Found in SmartXiv
  • Collaboration Supports shared annotations and notes for collaborative research.Found in SmartXiv
  • Frequent updates Delivers fresh content multiple times a day or in near real-time.Found in A01, Zetik, Inspiration by Mind Dock
  • Cross-format tracking Monitors multiple content types like podcasts, videos, and code.Found in Zetik
  • Contextual briefs Provides explanations of what changed and why it matters.Found in Zetik
  • Discovery lane Offers a separate area for exploring emerging topics outside declared interests.Found in Zetik
  • Preference memory Retains user interests and past briefs to improve future recommendations.Found in Zetik
  • Live trend map Combines models, news, research, and trends into a single visual interface.Found in Inspiration by Mind Dock

How it works, step by step

  1. Collect articles, papers and updates from many permitted sources
  2. Let users declare interests and watch topics
  3. Generate concise summaries of papers and articles
  4. Deliver tailored briefs to inbox or feed
  5. Search items by keyword or natural language
  6. Mark expert-curated items
  7. Offer a random discovery lane
  8. Support comments and author or community discussion
  9. Link related models, datasets and demos
  10. Connect to reference management tools
  11. Highlight and annotate inside documents
  12. Share annotations and notes with collaborators
  13. Refresh sources multiple times a day
  14. Track podcasts, videos and code alongside papers
  15. Explain what changed and why it matters
  16. Keep a separate lane for emerging topics outside declared interests
  17. Remember interests and past briefs to improve recommendations
  18. Combine models, news, research and trends into one trend map
  19. Compare the reviewed result with the recorded baseline and value assumptions
  20. Capture corrections and named-owner approval before consequential use
  21. Export a versioned reviewed change briefings linked to their sources 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 watchlist change briefing service 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 Research watchlist change briefing service 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 build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 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 data195 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 the time spent finding and reading new research while keeping a traceable record of what changed. For research teams, analysts and knowledge workers who must track new papers, news and developments across many sources, convert permitted source feeds, declared interests and saved briefs into reviewed change briefings linked to their sources. The benefit is a testable hypothesis, measured through relevant items surfaced per tracking hour and briefing items the user confirms as useful; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted source feeds, declared interests and saved briefs, then follow this sequence: 1. Collect articles, papers and updates from many permitted sources. 2. Let users declare interests and watch topics. 3. Generate concise summaries of papers and articles. 4. Deliver tailored briefs to inbox or feed. Resolve uncertain cases with qualified reviewers, approve reviewed change briefings linked to their sources, and measure relevant items surfaced per tracking hour and briefing items the user confirms as useful 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. Source terms, licensing and rate limits apply; final editorial and research judgments 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. Users approve substantive changes and publication scope. One fixed source set and refresh schedule; final editorial and research judgments 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 fixed source set and refresh schedule; final editorial and research judgments remain human. Implement one approved input format, a bounded representative case set and the first two task modules: collect articles, papers and updates from many permitted sources; let users declare interests and watch topics. Support the third module with operator review: generate concise summaries of papers and articles. 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

Permitted publisher feeds, preprint servers, news sources and code repositories. Reference management tools, document annotation formats, email delivery and team chat. 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: Watchlist and sources, Briefing feed, Item detail and review. Use a source list with refresh state, a chronological briefing feed with change labels, and a detail view with summary, source links, related resources and comments. Let users compare an item against the previous version. Display new, updated, reviewed and dismissed states. Provide a shared team view with annotations. Make the task-specific outcome reviewed change briefings linked to their sources visible beside its evidence, review state and value baseline.