Complete AI Training

AI app for pr and communications · no coding needed

Multi-source editorial briefing and publishing workspace

Reduce manual gathering and rewriting while keeping sources and approvals intact.

Made for: PR and communications teams producing briefings and published content from many sources

What Multi-source editorial briefing and publishing workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Teams gather and summarize content across many tools, then rewrite it for briefings and publication, losing sources and review state along the way.

What it gives you

Editor-approved briefings and publishable drafts linked to their sources

What you give it

Permitted feedsdocumentsdata fileseditorial constraints

Build your own version of Tailor, Particle and more

One app with what these 10 AI tools do, yours to keep and change: Tailor, Particle, Smashing, Shroomie, Arbor, Ohcryp: Crypto News at a Glance, Artifact, NBot, Nily AI, The Claw News.

Everything these tools do, in one app

  • Multi-source aggregation Collects content from many sources into one place.Found in Particle, Smashing, Ohcryp: Crypto News at a Glance and 3 more
  • AI summaries Generates short summaries of articles or stories.Found in Particle, Shroomie, Ohcryp: Crypto News at a Glance
  • Personalized feed Adapts content to match user interests and preferences.Found in Particle, Smashing, Shroomie and 2 more
  • Multiple perspectives Shows different sides or viewpoints on a story.Found in Particle, Smashing
  • Content simplification Makes complex information easier to understand.Found in Particle
  • Translation Translates content into the user's preferred language.Found in Particle
  • Interactive Q&A Lets users ask questions about the content.Found in Particle
  • Community curation Uses community votes to surface quality content.Found in Smashing
  • Bite-sized cards Presents news in short, interactive cards.Found in Shroomie
  • Gamification Adds game-like rewards for reading.Found in Shroomie
  • Push updates Sends notifications for breaking stories.Found in Shroomie
  • Data visualization Turns data into charts and graphs.Found in Arbor, Nily AI
  • Collaboration Allows multiple users to work together.Found in Arbor, NBot, Nily AI
  • Customizable dashboards Lets users tailor the display of information.Found in Arbor, Nily AI
  • Noise filtering Removes irrelevant or promotional content.Found in Ohcryp: Crypto News at a Glance, NBot
  • Save for later Allows users to bookmark articles for later reading.Found in Artifact
  • Rating articles Lets users rate content to improve recommendations.Found in Artifact
  • Topic curators Creates custom agents that learn and refine topics over time.Found in NBot
  • Audio briefings Provides podcast-style updates for on-the-go listening.Found in NBot
  • Content generation Creates written content with customizable tone and style.Found in Tailor, Nily AI
  • Data analysis Analyzes data to provide insights.Found in Nily AI
  • Agent-driven publishing Uses autonomous agents to research, draft, and publish articles.Found in The Claw News
  • API access Allows developers to add new contributors or integrations.Found in The Claw News

How it works, step by step

  1. Aggregate permitted content from many sources into one place
  2. Generate short summaries of articles or stories
  3. Adapt the feed to stated interests and preferences
  4. Show different sides or viewpoints on a story
  5. Simplify complex information for the reader
  6. Translate content into the preferred language
  7. Answer user questions about the content
  8. Surface quality content through community votes
  9. Present news as short interactive cards
  10. Add game-like rewards for reading
  11. Send notifications for breaking stories
  12. Turn data into charts and graphs
  13. Let multiple users work together
  14. Let users tailor the display of information
  15. Remove irrelevant or promotional content
  16. Bookmark articles for later reading
  17. Rate content to improve recommendations
  18. Create custom agents that learn and refine topics over time
  19. Provide podcast-style audio briefings
  20. Create written content with customizable tone and style
  21. Analyze data to provide insights
  22. Use agents to research, draft and publish articles under review
  23. Expose an API for new contributors and integrations

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 Multi-source editorial briefing and publishing 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 Multi-source editorial briefing and publishing 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 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 criteria14 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

Reduce manual gathering and rewriting while keeping sources and approvals intact. For PR and communications teams producing briefings and published content from many sources, convert permitted feeds, documents, data files and editorial constraints into editor-approved briefings and publishable drafts linked to their sources. The benefit is a testable hypothesis, measured through accepted briefings per editorial hour and corrections after publication; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted feeds, documents, data files and editorial constraints, then follow this sequence: 1. Aggregate permitted content from many sources into one place. 2. Generate short summaries of articles or stories. 3. Adapt the feed to stated interests and preferences. Resolve uncertain cases with qualified reviewers, approve editor-approved briefings and publishable drafts linked to their sources, and measure accepted briefings per editorial hour and corrections after publication 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 set and approved style guide; final editorial checks and publication decisions 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. Editors approve substantive changes and publication scope. One fixed source set and approved style guide; final editorial checks and publication decisions 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 approved style guide; final editorial checks and publication decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: aggregate permitted content from many sources into one place; generate short summaries of articles or stories. Support the third module with operator review: adapt the feed to stated interests and preferences. 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 feeds, authorized documents and permitted research sources. Cloud asset 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: Source intake and topic setup, Editable briefing and draft preview, Client proof and delivery. Use a thumbnail gallery for briefings, 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 asset. Make the task-specific outcome editor-approved briefings and publishable drafts linked to their sources visible beside its evidence, review state and value baseline.