AI app for it and development · no coding needed
Prompt-to-app delivery workspace with managed implementation
Reduce tool sprawl and manual setup while keeping one owned delivery workspace.
Made for: Product teams, agencies and internal IT groups that need working applications built from prompts or visual ideas
What it does for you
The problem
Turning prompts or visual ideas into working software requires stitching together separate generation, environment, database, authentication, deployment and testing tools.
What it gives you
Reviewed, deployed application with source, tests and environment records
What you give it
Plain-language promptsscreenshotsspecificationsexisting code
Build your own version of Replit Agent, Replit Agent 4 and more
One app with what these 10 AI tools do, yours to keep and change: Replit Agent, Replit Agent 4, Prompt Coder, Lagrange by OrangeCat, Code Llama 70B, Gadget, Hope AI, Solar, Bolt Forge, Replit Agent 3.
Everything these tools do, in one app
- Prompt-to-app generation Turns plain-language prompts or specifications into working application code.Found in Replit Agent, Replit Agent 4, Lagrange by OrangeCat and 2 more
- Code generation and debugging Writes new code and helps find or fix errors in existing code.Found in Replit Agent, Code Llama 70B, Gadget and 1 more
- Automated environment setup Configures the development environment automatically so users can start coding without manual setup.Found in Replit Agent, Bolt Forge
- In-browser IDE Provides a coding workspace that runs in the browser without local installation.Found in Replit Agent, Gadget, Bolt Forge and 1 more
- One-click deployment Publishes the finished app online with a single action.Found in Replit Agent, Hope AI, Replit Agent 3
- Multi-language support Works with many programming languages and coding styles.Found in Replit Agent, Code Llama 70B
- Screenshot-to-code prompts Turns screenshots of designs into ready-to-use prompts for code generation.Found in Prompt Coder
- AI editor integrations Connects with popular AI code editors so prompts can be used directly in those tools.Found in Prompt Coder
- Database-backed app support Helps build applications that store and use data in a database.Found in Prompt Coder, Gadget
- Team collaboration Lets multiple people work together on the same project.Found in Prompt Coder, Solar
- End-to-end workflow automation Automates the whole development process from requirements to finished code.Found in Lagrange by OrangeCat
- Multiple model versions Offers different versions of the model to match performance and resource needs.Found in Code Llama 70B
- Built-in authentication Provides secure login, SSO, and password recovery out of the box.Found in Gadget
- Managed serverless infrastructure Runs the app on fully managed cloud services with databases, caching, and background jobs.Found in Gadget
- Design system components Builds software from reusable components and design systems for consistency.Found in Hope AI
- Infinite design canvas Provides an open workspace for exploring interface variants and arranging app designs.Found in Replit Agent 4, Solar
- Parallel task execution Runs multiple development tasks at the same time and resolves conflicts automatically.Found in Replit Agent 4
- Live browser testing Runs the app in a real browser during development to validate it works.Found in Replit Agent 3
- Automated repairs Detects issues in the running app and attempts to fix them automatically.Found in Replit Agent 3
- Bot and automation generation Creates additional agents or automations to extend the app's functionality.Found in Replit Agent 3
How it works, step by step
- Generate application code from plain-language prompts or specifications
- Write new code and find or fix errors in existing code
- Configure the development environment automatically
- Provide an in-browser coding workspace without local installation
- Publish the finished app online with one action
- Support many programming languages and coding styles
- Turn screenshots of designs into ready-to-use prompts for code generation
- Connect with popular AI code editors so prompts can be used directly
- Build applications that store and use data in a database
- Let multiple people work together on the same project
- Automate the development process from requirements to finished code
- Offer different model versions to match performance and resource needs
- Provide secure login, SSO and password recovery out of the box
- Run the app on managed cloud services with databases, caching and background jobs
- Build software from reusable components and design systems
- Provide an open workspace for exploring interface variants and arranging app designs
- Run multiple development tasks at the same time and resolve conflicts automatically
- Run the app in a real browser during development to validate it works
- Detect issues in the running app and attempt to fix them automatically
- Create additional agents or automations to extend the app's functionality
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 Prompt-to-app delivery workspace with managed implementation 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 Prompt-to-app delivery workspace with managed implementation 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 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 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
Reduce tool sprawl and manual setup while keeping one owned delivery workspace. For product teams, agencies and internal IT groups that need working applications built from prompts or visual ideas, convert plain-language prompts, screenshots, specifications and existing code into a reviewed, deployed application with source, tests and environment records. The benefit is a testable hypothesis, measured through accepted working applications per delivery hour and post-deployment defect rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect plain-language prompts, screenshots, specifications and existing code, then follow this sequence: 1. Generate application code from plain-language prompts or specifications. 2. Write new code and find or fix errors in existing code. 3. Configure the development environment automatically. 4. Provide an in-browser coding workspace without local installation. 5. Publish the finished app online with one action. Resolve uncertain cases with qualified reviewers, approve reviewed, deployed application with source, tests and environment records, and measure accepted working applications per delivery hour and post-deployment defect rate 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. Final architecture, security and production-readiness checks remain with qualified engineers. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, license compliance and usage permissions. Qualified engineers approve architecture, security and production scope. Final architecture, security and production-readiness checks remain with qualified engineers. 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 input format, a bounded representative case set and the first three task modules: generate application code from plain-language prompts or specifications; write new code and find or fix errors in existing code; configure the development environment automatically. Support the remaining modules with operator review. 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, design files, issue trackers and deployment targets. Cloud asset 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: Prompt and specification intake, Editable application workspace, Review and deployment. Use a project gallery, a large central code and preview canvas, and a right-hand panel for prompts, screenshots, model choice, environment state and comments. Let users compare generated variants side by side. Display draft, changes requested, tested and approved states. Provide a client preview link with comments anchored to the relevant screen or file. Make the task-specific outcome reviewed, deployed application with source, tests and environment records visible beside its evidence, review state and value baseline.
