AI app for operations · no coding needed
Workspace assistant and admin console
Reduce manual workspace administration while keeping every assistant action reviewable and reversible.
Made for: Operations leads and administrators running document and database workspaces
What it does for you
The problem
Routine document, database and reporting work is spread across separate tools and manual prompting, with weak control over what assistants change.
What it gives you
Reviewed assistant actions linked to source records
What you give it
Workspace documentsdatabasesconnected toolspermission rules
Build your own version of Notion 3.0, Notion Custom Agents and more
One app with what these 3 AI tools do, yours to keep and change: Notion 3.0, Notion Custom Agents, Craft Thanksgiving Release.
Everything these tools do, in one app
- AI assistant in workspace An AI assistant that works inside the document and database workspace.Found in Notion 3.0, Notion Custom Agents, Craft Thanksgiving Release
- Content-aware responses The assistant reads and responds based on content across your workspace, including folders and pages.Found in Craft Thanksgiving Release
- Document creation and editing Agents can create and edit documents automatically.Found in Notion 3.0
- Database building and modification Agents can build and modify databases.Found in Notion 3.0
- Workspace search Agents can search across the workspace.Found in Notion 3.0
- Multi-step workflow execution Agents can execute multi-step workflows.Found in Notion 3.0
- RAG-style data access Agents retrieve context from workspace data and update entries directly.Found in Notion 3.0
- Personal agent customization Set preferences and contextual instructions for how your agent should behave.Found in Notion 3.0
- Custom specialized agents Planned support for multiple specialized assistants for different workflows or team roles.Found in Notion 3.0
- Autonomous trigger or schedule Agents run on triggers or schedules to execute tasks without manual prompting.Found in Notion Custom Agents
- Plain-language agent builder Create agents by describing desired behavior instead of coding.Found in Notion Custom Agents
- Knowledge-aware Q&A Agents answer recurring questions using workspace content and connected tools.Found in Notion Custom Agents
- Task routing and reports Agents triage incoming work and draft recurring reports.Found in Notion Custom Agents
- Granular permissions Set granular permissions per agent.Found in Notion Custom Agents, Notion 3.0
- Audit logs Audit logs track agent activity.Found in Notion Custom Agents
- Reversible changes Agent changes can be reversed for governance.Found in Notion Custom Agents
- MCP and API integrations Connect to external tools and automate data flow via MCP and API.Found in Craft Thanksgiving Release, Notion 3.0
- Cross-document experience Smoother experience across tabs, whiteboards, and code editor.Found in Craft Thanksgiving Release
- Mobile access Android beta extends mobile access beyond desktop.Found in Craft Thanksgiving Release
- Fast sync and search Fast sync and searchable content across folders for easier retrieval.Found in Craft Thanksgiving Release
How it works, step by step
- Run an AI assistant inside the document and database workspace
- Read and respond based on content across folders and pages
- Create and edit documents automatically
- Build and modify databases
- Search across the workspace
- Execute multi-step workflows
- Retrieve context from workspace data and update entries directly
- Set preferences and contextual instructions per agent
- Support multiple specialized assistants for different workflows or roles
- Run agents on triggers or schedules without manual prompting
- Build agents by describing desired behavior in plain language
- Answer recurring questions using workspace content and connected tools
- Triage incoming work and draft recurring reports
- Set granular permissions per agent
- Track agent activity in audit logs
- Reverse agent changes for governance
- Connect external tools and automate data flow via MCP and API
- Provide a smoother experience across tabs, whiteboards and code editor
- Extend mobile access beyond desktop
- Sync and search content across folders for easier retrieval
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 Workspace assistant and admin 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 Workspace assistant and admin 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 links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 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 manual workspace administration while keeping every assistant action reviewable and reversible. For operations leads and administrators running document and database workspaces, convert workspace documents, databases, connected tools and permission rules into reviewed assistant actions linked to source records. The benefit is a testable hypothesis, measured through accepted assistant actions per administrator hour and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect workspace documents, databases, connected tools and permission rules, then follow this sequence: 1. Run an AI assistant inside the document and database workspace. 2. Read and respond based on content across folders and pages. 3. Create and edit documents automatically. Resolve uncertain cases with qualified reviewers, approve reviewed assistant actions linked to source records, and measure accepted assistant actions per administrator 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 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 workspace schema and permission model; final approvals and external actions remain administrative. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, data permissions and workspace integrity. Administrators approve substantive changes and external actions. One workspace schema and permission model; final approvals and external actions remain administrative. 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 workspace schema and permission model; final approvals and external actions remain administrative. Implement one approved input format, a bounded representative case set and the first two task modules: run an AI assistant inside the document and database workspace; read and respond based on content across folders and pages. Support the third module with operator review: create and edit documents automatically. 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
Workspace documents, databases, connected tools and permission rules. Cloud storage, external tool connectors and reporting 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: Assistant console, Workspace and database view, Admin and audit. Use a sidebar for agents and runs, a large central workspace canvas, and a right-hand panel for sources, permissions and comments. Let users compare proposed and applied changes side by side. Display draft, changes requested and approved states. Provide a review link with comments anchored to the relevant record. Make the task-specific outcome reviewed assistant actions linked to source records visible beside its evidence, review state and value baseline.
