Complete AI Training

AI app for it and development · no coding needed

No-code AI app delivery workspace

Replace several rented AI app builders with one owned workspace that covers building, data, users, monetization and deployment.

Made for: Operations leads and product owners in small firms who need internal or client-facing AI apps but have no development team

What No-code AI app delivery workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

AI app features are spread across many rented tools, so teams rebuild the same workflow, cannot own their data, and depend on several subscriptions.

What it gives you

A deployed, reviewed app the client controls

What you give it

Plain-language requirementssample databrand assetstarget user roles

Build your own version of Imagica, Licode and more

One app with what these 10 AI tools do, yours to keep and change: Imagica, Licode, Build AI, Vitara AI, Pickaxe, Pixoai, Hostinger Horizons, Argil, Metatext, Riku.ai.

Everything these tools do, in one app

  • No-code app building Create functional apps without writing any code.Found in Imagica, Licode, Build AI and 7 more
  • Natural language prompts Build apps by describing requirements in plain language.Found in Build AI, Vitara AI, Pixoai and 1 more
  • Chat interface Interact with the platform through a chat-based interface.Found in Imagica, Hostinger Horizons
  • Pre-built templates Use ready-made templates to accelerate app development.Found in Imagica, Build AI, Pickaxe and 1 more
  • Custom workflows Set up automated processes and tailor app logic.Found in Licode, Metatext
  • LLM integrations Connect with various large language models for AI capabilities.Found in Licode, Riku.ai
  • Built-in database Store and manage data within the platform.Found in Licode
  • User management Handle user authentication and registration.Found in Licode, Build AI
  • Monetization support Charge users and generate revenue from apps.Found in Imagica, Licode, Build AI and 1 more
  • Real-time data Incorporate dynamic, up-to-date data into apps.Found in Imagica
  • Multimodal input/output Handle multiple data types like text and images.Found in Imagica
  • Image generation Generate images for use in apps.Found in Imagica, Argil
  • Publishing and deployment Publish or deploy apps with ease.Found in Imagica, Vitara AI, Hostinger Horizons
  • App embedding Embed created tools into existing websites.Found in Pickaxe
  • Community collaboration Discover, share, and collaborate on AI tools.Found in Pickaxe
  • Data retrieval Query and retrieve information from datasets using natural language.Found in Pixoai
  • Security compliance Ensure data protection with GDPR compliance and access controls.Found in Pixoai
  • Integrated hosting Hosting, domain, and email services included.Found in Hostinger Horizons
  • Video creation Create videos with customizable avatars.Found in Argil
  • AI safety testing Identify vulnerabilities and protect against threats.Found in Metatext
  • User analytics Gain insights into user interactions.Found in Riku.ai

How it works, step by step

  1. Build functional apps from plain-language requirements
  2. Generate app structure from natural language prompts
  3. Provide a chat interface for building and editing
  4. Offer pre-built templates for common app types
  5. Configure custom workflows and app logic
  6. Connect multiple large language models
  7. Store and manage app data in a built-in database
  8. Handle user registration and authentication
  9. Set up subscriptions and payment collection
  10. Pull in real-time data sources
  11. Accept and return text, image and file inputs
  12. Generate images for use inside apps
  13. Publish and deploy apps to a hosted address
  14. Embed built tools into existing websites
  15. Share and reuse components in a permissioned workspace
  16. Query datasets in natural language
  17. Apply access controls and data protection settings
  18. Attach hosting, domain and email configuration
  19. Create avatar videos for app content
  20. Run safety checks on prompts and outputs
  21. Report user interaction analytics

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 No-code AI app delivery 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.

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 No-code AI app delivery workspace 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 Cloudflare24 KB
  • prompt-vps.mdThe same build on your own server (Docker)24 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria11 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

Replace several rented AI app builders with one owned workspace that covers building, data, users, monetization and deployment. For operations leads and product owners in small firms who need internal or client-facing AI apps but have no development team, convert plain-language requirements, sample data and brand assets into a deployed, reviewed app the client controls. The benefit is a testable hypothesis, measured through working apps delivered per month and manual steps removed per workflow; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect plain-language requirements, sample data and brand assets, then follow this sequence: 1. Build functional apps from plain-language requirements. 2. Generate app structure from natural language prompts. 3. Configure custom workflows and app logic. 4. Connect models, database and user accounts. 5. Set up payments, hosting and embedding. 6. Run safety checks and review analytics. Resolve uncertain cases with qualified reviewers, approve a deployed, reviewed app the client controls, and measure working apps delivered per month and manual steps removed per workflow against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured app structures and generate candidate screens and workflows 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 model set and one hosting target; final security, legal and payment checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve client data ownership, source attribution, access permissions and payment compliance. Clients approve substantive app changes and deployment scope. One approved model set and one hosting target; final security, legal and payment checks 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 model set and one hosting target; final security, legal and payment checks remain human. Implement one approved input format, a bounded representative case set and the first three task modules: build functional apps from plain-language requirements; generate app structure from natural language prompts; configure custom workflows and app logic. Support later modules with operator review: connect models, database and user accounts; set up payments, hosting and embedding; run safety checks and review analytics. 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

Client-owned data sources, authorized model providers, payment processors and hosting targets. Cloud storage, design-file import/export and publishing 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: Requirements chat and template picker, App builder canvas, Data and model settings, User and billing setup, Review and deployment. Use a project list with status, a central builder showing app screens and workflow steps, and a right-hand panel for prompts, data sources and review notes. Let users compare template and custom versions side by side. Display draft, in review and deployed states. Provide a client preview link with comments anchored to the relevant screen. Make the task-specific outcome a deployed, reviewed app the client controls visible beside its evidence, review state and value baseline.