AI app for it and development · no coding needed
Custom business app build and automation workspace
Build and run custom business apps and automated workflows in one owned workspace.
Made for: Operations and IT teams building internal business apps and automated workflows
What it does for you
The problem
Teams rent several no-code, automation and AI builder tools that do not share data, roles or logs, so apps and workflows stay fragmented and hard to own.
What it gives you
Reviewed app build with automated workflows, role-based access and activity logs
What you give it
Approved process descriptionsdata schemasintegration listsaccess rules
Build your own version of Aire, AI-Native Airtable and more
One app with what these 10 AI tools do, yours to keep and change: Aire, AI-Native Airtable, Softr AI, Diaflow.io, Lumi.new, Noloco Free, Tangle.io, Gemini 2.5 Pro (I/O edition), Base44: The all-new builder, Lindy Build.
Everything these tools do, in one app
- No-code app building Lets users create functional applications without writing code.Found in AI-Native Airtable, Softr AI, Lumi.new and 3 more
- Prompt-based app generation Generates apps from natural language prompts or descriptions.Found in Softr AI, Lumi.new, Base44: The all-new builder and 1 more
- Conversational AI assistance Uses chat or conversational AI to guide app building and feature development.Found in AI-Native Airtable, Lumi.new, Base44: The all-new builder
- Drag-and-drop builder Provides a visual drag-and-drop interface for building apps or workflows.Found in Noloco Free, Tangle.io
- Built-in backend services Includes database, authentication, storage, and analytics out of the box.Found in Lumi.new, Base44: The all-new builder
- Workflow automation Automates repetitive tasks and business processes.Found in AI-Native Airtable, Softr AI, Diaflow.io and 2 more
- Third-party integrations Connects with external apps and data sources for seamless data flow.Found in AI-Native Airtable, Softr AI, Diaflow.io and 3 more
- Custom triggers and actions Allows users to define specific events and responses for automation.Found in Diaflow.io, Tangle.io, Lindy Build
- Real-time data sync Keeps data updated across integrated platforms in real time.Found in Noloco Free, Tangle.io
- User roles and permissions Manages user access and security settings within apps.Found in Softr AI, Noloco Free
- Pre-built templates Offers ready-made templates to speed up app creation.Found in Noloco Free
- AI-generated design Automatically creates themes, designs, and copy for professional UI/UX.Found in Softr AI
- Multi-language support Enables interaction and app building in multiple languages.Found in Lumi.new
- File upload and learning Allows uploading files for the platform to learn and incorporate custom data.Found in Lumi.new
- Self-testing and validation Runs tests, inspects logs, and simulates user flows to catch issues early.Found in Base44: The all-new builder
- Autonomous bug fixing Detects and fixes bugs automatically to streamline development.Found in Lindy Build
- Cross-agent collaboration Enables multiple AI agents to work together on complex tasks.Found in Lindy Build
- Activity logs and monitoring Provides detailed logs and dashboards to monitor workflows and errors.Found in Diaflow.io, Tangle.io
How it works, step by step
- Generate an app from a written process description
- Guide building through conversational assistance
- Provide a drag-and-drop builder for screens and steps
- Include database, authentication, storage and analytics
- Automate repetitive tasks and business processes
- Connect external apps and data sources
- Define custom triggers and actions
- Keep data synced across integrated platforms
- Manage user roles and permissions
- Offer pre-built templates for common apps
- Generate themes, designs and copy for the interface
- Support building and interaction in multiple languages
- Accept uploaded files as custom data
- Run tests, inspect logs and simulate user flows
- Detect and fix bugs automatically
- Let multiple agents work together on complex tasks
- Show activity logs and monitoring dashboards
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed app build 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 Custom business app build and automation 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 Custom business app build and automation 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 links5 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 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
Build and run custom business apps and automated workflows in one owned workspace. For operations and IT teams building internal business apps and automated workflows, convert approved process descriptions, data schemas, integration lists and access rules into a reviewed app build with automated workflows, role-based access and activity logs. The benefit is a testable hypothesis, measured through accepted app builds per delivery hour and manual steps removed per workflow; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved process descriptions, data schemas, integration lists and access rules, then follow this sequence: 1. Generate an app from a written process description. 2. Guide building through conversational assistance. 3. Provide a drag-and-drop builder for screens and steps. 4. Include database, authentication, storage and analytics. 5. Automate repetitive tasks and business processes. 6. Connect external apps and data sources. 7. Define custom triggers and actions. 8. Keep data synced across integrated platforms. 9. Manage user roles and permissions. 10. Offer pre-built templates for common apps. 11. Generate themes, designs and copy for the interface. 12. Support building and interaction in multiple languages. 13. Accept uploaded files as custom data. 14. Run tests, inspect logs and simulate user flows. 15. Detect and fix bugs automatically. 16. Let multiple agents work together on complex tasks. 17. Show activity logs and monitoring dashboards. Resolve uncertain cases with qualified reviewers, approve the reviewed app build with automated workflows, role-based access and activity logs, and measure accepted app builds per delivery hour and manual steps removed per workflow 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 data schema and integration set; final access rules and production release remain under named human review. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve data ownership, source attribution, access accuracy and usage permissions. Named owners approve substantive changes and production scope. One approved data schema and integration set; final access rules and production release remain under named human review. 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 data schema and integration set; final access rules and production release remain under named human review. Implement one approved input format, a bounded representative case set and the first two task modules: generate an app from a written process description; guide building through conversational assistance. Support the remaining modules with operator review: drag-and-drop builder, backend services, workflow automation, integrations, triggers, sync, roles, templates, design generation, multi-language, file upload, self-testing, bug fixing, agent collaboration and activity logs. 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 databases, spreadsheets, SaaS tools and internal APIs. 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: Build brief and data sources, Editable app and workflow preview, Review and release. Use a thumbnail gallery for apps and workflows, a large central builder canvas, and a right-hand panel for data, roles, integrations 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 screen or step. Make the task-specific outcome reviewed app build with automated workflows, role-based access and activity logs visible beside its evidence, review state and value baseline.
