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Meeting and work coordination portal

Reduce coordination overhead while keeping decisions and task follow-ups traceable.

Made for: Engineering and delivery teams that run recurring meetings and track work across several tools

What Meeting and work coordination portal looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Meeting notes, decisions and task follow-ups live in separate tools, so teams re-explain context and reported progress drifts from actual tool activity.

What it gives you

Reviewed meeting records, action items and standup drafts linked to their sources

What you give it

Permitted meeting audiocalendar eventsparticipant listsexisting notesread-only work-tool activity from JiraGitHubSlack

Build your own version of Spinach AI, Fellow.app and more

One app with what these 7 AI tools do, yours to keep and change: Spinach AI, Fellow.app, MeetMinutes, Falcon AI, On-It, Troopr AI Scrum Master, Eggshell.

Everything these tools do, in one app

  • Meeting transcription Automatically converts spoken meeting discussions into written text.Found in Fellow.app, MeetMinutes
  • Meeting summaries Generates concise summaries of key points and decisions from meetings.Found in Fellow.app, MeetMinutes, On-It
  • Action item capture Extracts and tracks tasks and follow-ups from meetings.Found in Fellow.app, MeetMinutes
  • Centralized notes repository Stores all meeting notes, transcripts, and summaries in one accessible place.Found in Fellow.app, MeetMinutes
  • Multilingual support Allows note-taking and summaries in multiple languages.Found in Spinach AI, MeetMinutes
  • Calendar integration Connects with calendar applications to manage events and schedule meetings.Found in Fellow.app, On-It
  • Automated meeting joining Joins meetings on behalf of the user to capture discussions.Found in Fellow.app
  • AI meeting assistant Provides a chatbot to interact with meeting content and retrieve information.Found in Fellow.app, MeetMinutes
  • Pre-meeting preparation Helps users prepare with agendas and briefs before meetings.Found in Fellow.app
  • Follow-up reminders Sends reminders to team members to complete tasks or share updates.Found in On-It
  • Office presence awareness Notifies users about colleagues' arrivals and presence in the office.Found in On-It
  • Work activity reading Reads activity from tools like Jira, GitHub, and Slack to track work progress.Found in Troopr AI Scrum Master
  • Standup update drafting Automatically drafts standup updates based on actual work activity.Found in Troopr AI Scrum Master
  • Inconsistency flagging Flags discrepancies between reported work and actual tool activity.Found in Troopr AI Scrum Master
  • Local memory storage Stores AI agent work and results locally for persistence across sessions.Found in Eggshell
  • Context injection Injects relevant prior work into new chat sessions without LLM summarization.Found in Eggshell
  • Formal verification Uses formal methods to verify properties like provenance preservation.Found in Eggshell
  • Content generation Generates written content such as articles, blogs, and marketing copy.Found in Spinach AI, Falcon AI
  • Workflow automation Automates repetitive tasks through customizable workflows.Found in Falcon AI
  • Data analysis Provides real-time data analysis tools for informed decision-making.Found in Falcon AI

How it works, step by step

  1. Transcribe permitted meeting audio into text
  2. Generate concise summaries of key points and decisions
  3. Extract action items with owners and due dates
  4. Store notes, transcripts and summaries in one searchable repository
  5. Support note-taking and summaries in multiple languages
  6. Connect calendars to schedule and list meetings
  7. Join scheduled meetings automatically with participant notice
  8. Provide a chat assistant over meeting content
  9. Prepare agendas and briefs before meetings
  10. Send follow-up reminders to task owners
  11. Notify users about colleagues' office presence where permitted
  12. Read activity from Jira, GitHub and Slack
  13. Draft standup updates from actual work activity
  14. Flag discrepancies between reported work and tool activity
  15. Store agent work and results locally for persistence
  16. Inject relevant prior work into new sessions without summarization
  17. Verify provenance preservation with formal checks
  18. Generate written content such as articles and internal posts
  19. Automate repetitive coordination workflows
  20. Provide real-time data analysis over captured work data

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 Meeting and work coordination portal 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 Meeting and work coordination portal 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 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 coordination overhead while keeping decisions and task follow-ups traceable. For engineering and delivery teams that run recurring meetings and track work across several tools, convert permitted meeting audio, calendar events, notes and work-tool activity into reviewed meeting records, action items and standup drafts linked to their sources. The benefit is a testable hypothesis, measured through accepted action items per meeting hour and follow-ups completed before the next meeting; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted meeting audio, calendar events, notes and work-tool activity, then follow this sequence: 1. Transcribe permitted meeting audio into text. 2. Generate concise summaries of key points and decisions. 3. Extract action items with owners and due dates. 4. Read activity from Jira, GitHub and Slack. 5. Draft standup updates from actual work activity. 6. Flag discrepancies between reported work and tool activity. Resolve uncertain cases with qualified reviewers, approve reviewed meeting records, action items and standup drafts linked to their sources, and measure accepted action items per meeting hour and follow-ups completed before the next meeting 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. Meeting recording requires participant consent and local rules; final decisions and task assignments remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve participant consent, source attribution, quotation accuracy and usage permissions. Named owners approve decisions, task assignments and any external posting. One team, one calendar provider and read-only connections to one work tool; recording requires participant consent and final 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 team, one calendar provider and read-only connections to one work tool; recording requires participant consent and final decisions remain human. Implement one approved input format, a bounded representative case set and the first three task modules: transcribe permitted meeting audio into text; generate concise summaries of key points and decisions; extract action items with owners and due dates. Support the remaining modules with operator review: read activity from Jira, GitHub and Slack; draft standup updates from actual work activity; flag discrepancies between reported work and tool activity. 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

Calendar providers, meeting platforms, Jira, GitHub, Slack and file storage. Start with file exchange and read-only connections, and validate current provider access, usage rights and schema behavior before promising a connector. Validate destination specifications before promising direct posting or work-tool updates.

The screens in detail

Primary screens: Meeting capture and consent, Editable meeting record, Action and follow-up board, Work activity and standup view, Client or stakeholder summary. Use a list of meetings and work items, a large central editing canvas, and a right-hand panel for sources, participants, decisions and comments. Let users compare transcript, summary and prior version side by side. Display draft, changes requested and approved states. Provide a shareable summary link with comments anchored to the relevant decision or action item. Make the task-specific outcome reviewed meeting records, action items and standup drafts linked to their sources visible beside its evidence, review state and value baseline.