AI app for it and development · no coding needed
Managed cloud app and backend workspace
Run and manage applications and their backend infrastructure in one owned workspace.
Made for: Small software teams and internal IT groups running applications and backend infrastructure in the cloud
What it does for you
The problem
Teams rent separate tools for cloud environments, app creation, databases and virtual machines, so setup, access and scaling stay fragmented.
What it gives you
A working cloud environment with provisioned apps, database and virtual machines
What you give it
Approved project requirementstooling choicesaccess rules
Build your own version of Deta Space, Deta Surf and more
One app with what these 3 AI tools do, yours to keep and change: Deta Space, Deta Surf, box.
Everything these tools do, in one app
- Cloud environment provisioning Creates a ready-to-use computing environment in the cloud, such as a personal OS, backend service, or virtual machine.Found in Deta Space, Deta Surf, box
- Access from any device Lets users reach their cloud environment from any device with an internet connection.Found in Deta Space
- Customizable dashboard Provides a personal dashboard where users can organize content, notes, links, videos, and apps.Found in Deta Space
- AI-assisted app creation Enables users to create lightweight apps using natural language commands with AI help.Found in Deta Space
- App interoperability Allows different applications to interact seamlessly with each other.Found in Deta Space
- API-first design Makes it easy to integrate with various front-end technologies through APIs.Found in Deta Surf
- Managed cloud database Provides a database that automatically scales with application demand.Found in Deta Surf
- Simple deployment Deploys applications with minimal configuration required.Found in Deta Surf
- Built-in SDKs and tools Accelerates development workflows with included software development kits and tools.Found in Deta Surf
- Secure data handling Supports authentication and permissions to keep data secure.Found in Deta Surf
- Fast VM creation Spins up a full Ubuntu virtual machine with admin rights, desktop, and SSH access in about two seconds via a single terminal command.Found in box
- VM snapshotting Supports stopping, resuming, and forking a virtual machine's state so workflows can pause and resume.Found in box
- High concurrency scaling Allows self-serve scaling up to 1,000 concurrent virtual machines, with support for higher limits.Found in box
- Preconfigured templates Lets users preconfigure virtual machines with project-specific tooling to avoid repeated setup.Found in box
How it works, step by step
- Provision a ready-to-use cloud environment
- Reach the environment from any device
- Organize content, notes, links, videos and apps on a dashboard
- Create lightweight apps from natural language commands
- Let applications interact with each other
- Integrate front ends through APIs
- Scale a managed cloud database with demand
- Deploy applications with minimal configuration
- Use built-in SDKs and tools
- Apply authentication and permissions to data
- Spin up a full Ubuntu virtual machine with admin rights, desktop and SSH access
- Stop, resume and fork virtual machine state
- Scale to many concurrent virtual machines
- Preconfigure virtual machines with project tooling
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
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 Managed cloud app and backend 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.
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 Managed cloud app and backend workspace 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 links3 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 criteria13 KB
- demo/index.htmlThe working demo on sample data201 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
Run and manage applications and their backend infrastructure in one owned workspace. For small software teams and internal IT groups running applications and backend infrastructure in the cloud, convert approved project requirements, tooling choices and access rules into a working cloud environment with provisioned apps, database and virtual machines. The benefit is a testable hypothesis, measured through time to first working environment per project and operator hours per running application; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved project requirements, tooling choices and access rules, then follow this sequence: 1. Provision a ready-to-use cloud environment. 2. Create lightweight apps from natural language commands. 3. Scale a managed cloud database with demand. 4. Spin up a full Ubuntu virtual machine with admin rights, desktop and SSH access. Resolve uncertain cases with qualified reviewers, approve a working cloud environment with provisioned apps, database and virtual machines, and measure time to first working environment per project and operator hours per running application 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 approved cloud region and one supported runtime stack; final security, access and production decisions remain with the operator. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve access boundaries, source attribution, configuration accuracy and usage permissions. Operators approve substantive changes and production scope. One approved cloud region and one supported runtime stack; final security, access and production decisions remain with the operator. 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 cloud region and one supported runtime stack; final security, access and production decisions remain with the operator. Implement one approved input format, a bounded representative case set and the first two task modules: provision a ready-to-use cloud environment; create lightweight apps from natural language commands. Support the third module with operator review: scale a managed cloud database with demand. 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 repositories, authorized cloud accounts and permitted monitoring sources. Cloud asset storage, design-file import/export and deployment destinations. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Environment setup and templates, App and backend workspace, Operations and scaling. Use a project list with environment states, a central workspace showing apps, database and virtual machines, and a right-hand panel for access, logs and costs. Let users compare environment versions side by side. Display provisioning, running, paused and failed states. Provide a client preview link with comments anchored to the relevant environment. Make the task-specific outcome a working cloud environment with provisioned apps, database and virtual machines visible beside its evidence, review state and value baseline.
