AI app for it and development · no coding needed
Source-linked operations assistant and admin console
Reduce manual data and content handling while keeping every answer, update and task linked to its source.
Made for: Operations, data and content teams running routine work across several disconnected tools
What it does for you
The problem
Routine data and content work is spread across many subscriptions, so teams re-enter the same data, lose the source trail and cannot see which agent or workflow produced a result.
What it gives you
Reviewed, source-linked outputs and deployed assistants
What you give it
Permitted company dataspreadsheetsdocumentsapp events
Build your own version of Zeno, AlphaClaw Apex and more
One app with what these 10 AI tools do, yours to keep and change: Zeno, AlphaClaw Apex, Surfsite AI, Mantle, Data Analyst by Albus, Fabi.ai Workflows, Nexus, Brill, Super V2, reconfigured.
Everything these tools do, in one app
- Automated task workflows Automates routine tasks and manages them through customizable workflows.Found in Zeno, Brill
- Natural language commands Lets users give instructions or ask questions in plain language instead of code.Found in Zeno, Data Analyst by Albus, Nexus and 1 more
- Data analysis and reporting Analyzes data and produces reports or insights for users.Found in Zeno, Mantle, Data Analyst by Albus and 3 more
- Productivity app integration Connects with popular productivity and communication apps to fit existing workflows.Found in Zeno, Surfsite AI, Mantle and 5 more
- Team collaboration Supports shared access and communication so teams can work together on tasks and insights.Found in Zeno, Mantle, Fabi.ai Workflows and 2 more
- Automated content generation Creates content automatically based on user inputs and preferences.Found in Surfsite AI
- SEO optimization Improves website visibility on search engines.Found in Surfsite AI
- Real-time analytics Tracks performance and engagement with live data.Found in Surfsite AI, Mantle
- Customizable templates Provides ready-made templates that users can adjust for design or layout.Found in Surfsite AI
- Data cleaning and preprocessing Automatically cleans and prepares data for analysis.Found in Mantle
- Interactive dashboards Displays data in interactive visual dashboards.Found in Mantle
- Spreadsheet upload and analysis Allows users to upload spreadsheet files and analyze them quickly.Found in Data Analyst by Albus, Nexus
- Visual workflow canvas Provides a visual, notebook-like interface for managing complex workflows.Found in Fabi.ai Workflows
- Modular code cells Uses modular cells that accept inputs and produce outputs for flexible data manipulation.Found in Fabi.ai Workflows
- AI-powered enrichment Adds AI-driven analysis like sentiment analysis and summarization to data.Found in Fabi.ai Workflows
- Automated insight delivery Schedules and pushes insights directly to communication or data platforms.Found in Fabi.ai Workflows
- Semantic data understanding Automatically understands relationships between connected data files.Found in Nexus
- Focused editing Enables precise, selective edits to specific data points or rows.Found in Nexus
- Unified search Searches across multiple company data sources in one place.Found in Super V2
- Plain-language workflow creation Converts plain-language instructions into workflows and deployable assistants.Found in Super V2
- Long-running task assistants Runs multi-step research and long tasks that return results when complete.Found in Super V2
- Automated content adaptation Automatically adapts existing content to new formats or standards.Found in reconfigured
- Version control Tracks and manages different iterations of content or systems.Found in reconfigured
- Real-time preview Shows changes in real time before finalizing adjustments.Found in reconfigured
- Self-healing agent management Detects and recovers unhealthy agents automatically.Found in AlphaClaw Apex
- Fleet controls Scales, coordinates, and handles conflicts among multiple agents.Found in AlphaClaw Apex
- Zero-SSH operations Reduces the need for direct server logins during operations.Found in AlphaClaw Apex
- Container deployment Supports Docker and includes templates for popular hosting platforms.Found in AlphaClaw Apex
- Agent monitoring Provides monitoring and basic observability for deployed agents.Found in AlphaClaw Apex
How it works, step by step
- Automate routine tasks through customizable workflows
- Accept plain-language commands and questions instead of code
- Analyze data and produce reports and insights
- Connect productivity and communication apps
- Support shared team access and comments on tasks and insights
- Generate content from user inputs and preferences
- Improve website visibility on search engines
- Track performance and engagement with live data
- Provide adjustable templates for design and layout
- Clean and prepare data automatically
- Display interactive visual dashboards
- Upload and analyze spreadsheet files
- Provide a visual notebook-like workflow canvas
- Use modular code cells with inputs and outputs
- Add AI enrichment such as sentiment analysis and summarization
- Schedule and push insights to communication or data platforms
- Understand relationships between connected data files
- Make precise edits to specific data points or rows
- Search across multiple company data sources in one place
- Convert plain-language instructions into workflows and deployable assistants
- Run multi-step research and long tasks that return results when complete
- Adapt existing content to new formats or standards
- Track versions of content and systems
- Show changes in real time before finalizing
- Detect and recover unhealthy agents automatically
- Scale, coordinate and resolve conflicts among multiple agents
- Reduce direct server logins during operations
- Support container deployment with hosting templates
- Monitor deployed agents with basic observability
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, source-linked outputs and deployed assistants 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 Source-linked operations 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 Source-linked operations 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 links6 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 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 data and content handling while keeping every answer, update and task linked to its source. For operations, data and content teams running routine work across several disconnected tools, convert permitted company data, spreadsheets, documents and app events into reviewed, source-linked outputs and deployed assistants. The benefit is a testable hypothesis, measured through accepted outputs per operator hour and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted company data, spreadsheets, documents and app events, then follow this sequence: 1. Automate routine tasks through customizable workflows. 2. Accept plain-language commands and questions instead of code. 3. Analyze data and produce reports and insights. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked outputs and deployed assistants, and measure accepted outputs per operator 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 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 approved source set and permission scope; final data, content and deployment decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, data permissions and usage rights. Named owners approve substantive changes and deployment scope. One approved source set and permission scope; final data, content and deployment 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 approved source set and permission scope; final data, content and deployment decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: automate routine tasks through customizable workflows; accept plain-language commands and questions instead of code. Support the third module with operator review: analyze data and produce reports and insights. 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
Company-owned data sources, spreadsheets, documents and app events. Cloud storage, productivity and communication apps, data platforms and deployment targets. 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 connections and permissions, Workflow canvas and assistant console, Review and delivery. Use a thumbnail gallery for projects and agents, a large central canvas for workflows and code cells, 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 reviewed, source-linked outputs and deployed assistants visible beside its evidence, review state and value baseline.
