AI App & Website Builder Platform
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a cloud-based creator—think Lovable AI but broader—that empowers non-technical users to spin up complete websites and cross-platform apps through a mix of natural-language prompting and drag-and-drop editing.
Core experience
• A user starts with a prompt or a template; the system instantly generates site or app structure, copy, images and basic logic via GPT-4/3.5, Stable Diffusion (or similar) and package-ready code.
• A visual canvas then lets them tweak layout, colours and components without writing code.
• Behind the scenes the platform compiles clean React/Next.js for web and Flutter/React Native for apps, hosts them automatically and offers one-click publishing to custom domains and major app stores.
Must-support website categories
E-commerce, blogs, portfolio sites plus medication/health trackers, fitness dashboards and full social media portals.
Must-support app categories
Social networks, delivery/on-demand services, music and video players, video editors, image generators, cartoon/animation video makers, AI agent builders and light games .
Administrative layer
• Multi-tenant SaaS billing (free tier + paid plans)
• Template marketplace where designers upload and monetise themes
• Role-based access, versioning, rollback, real-time collaboration
• Built-in analytics, SEO tooling and performance optimisation
Deliverables
1. MVP deployed to AWS/GCP/Azure with CI/CD in place.
2. Source code and architectural documentation.
3. Extensible component system (e.g., Figma-to-code or similar) so new blocks drop in without core rewrites.
4. Walk-through video plus launch support.
Acceptance criteria
• A non-technical tester can publish an e-commerce site and a simple music-player app in under 30 minutes.
• Generated projects score 90 + in Lighthouse Performance & Accessibility and build successfully when exported.
• AI-generated media and copy remain fully editable after creation.
If you have prior work on low-code editors, drag-and-drop builders or AI-assisted code generation, let me know your approach and timeline to MVP.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
Core experience
• A user starts with a prompt or a template; the system instantly generates site or app structure, copy, images and basic logic via GPT-4/3.5, Stable Diffusion (or similar) and package-ready code.
• A visual canvas then lets them tweak layout, colours and components without writing code.
• Behind the scenes the platform compiles clean React/Next.js for web and Flutter/React Native for apps, hosts them automatically and offers one-click publishing to custom domains and major app stores.
Must-support website categories
E-commerce, blogs, portfolio sites plus medication/health trackers, fitness dashboards and full social media portals.
Must-support app categories
Social networks, delivery/on-demand services, music and video players, video editors, image generators, cartoon/animation video makers, AI agent builders and light games .
Administrative layer
• Multi-tenant SaaS billing (free tier + paid plans)
• Template marketplace where designers upload and monetise themes
• Role-based access, versioning, rollback, real-time collaboration
• Built-in analytics, SEO tooling and performance optimisation
Deliverables
1. MVP deployed to AWS/GCP/Azure with CI/CD in place.
2. Source code and architectural documentation.
3. Extensible component system (e.g., Figma-to-code or similar) so new blocks drop in without core rewrites.
4. Walk-through video plus launch support.
Acceptance criteria
• A non-technical tester can publish an e-commerce site and a simple music-player app in under 30 minutes.
• Generated projects score 90 + in Lighthouse Performance & Accessibility and build successfully when exported.
• AI-generated media and copy remain fully editable after creation.
If you have prior work on low-code editors, drag-and-drop builders or AI-assisted code generation, let me know your approach and timeline to MVP.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
I want to create an AI-driven platform—think of what Lovable AI does, but broader—that can take a plain-language prompt and turn it into a fully working mobile or web application, complete with front-end, back-end, and deploy-ready assets.
Primary objective
The system itself is the product: an intelligent “developer” that automatically builds realistic, production-grade apps and websites end-to-end. It should feel like a virtual assistant that understands the user’s intent and outputs clean, documented code plus ready-to-preview builds.
Range of apps it must handle
The generator needs to cover everything I would normally hire separate dev teams for: e-commerce stores, social networking platforms, internal business tools, AI-agent playgrounds, medication and fitness trackers, media players for music or video, and even lightweight games. Extensibility is critical—if new verticals appear, I should be able to plug them in without a ground-up rewrite.
Key deliverables
• Core AI engine that interprets natural-language requirements and maps them to code templates, libraries, and cloud services
• Modular template library for at least the app categories listed above, structured so new templates can be added quickly
• API or GUI front end where users write or speak their spec and receive a downloadable project or one-click deploy link
• Documentation explaining the architecture, model choices, template system, and how to extend/maintain everything
• Demo instance proving it can produce at least one working example in each category
Acceptance criteria
A deliverable is considered complete when a non-technical test user can describe a small project (e.g., “a two-product online store with Stripe checkout” or “a social feed with photo upload”) and receive a running app that passes basic functional checks without manual coding.
I’m open to your preferred stack—popular choices like Node.js, Python, React, Next.js, Django, Flutter, or low-level generators are fine as long as the result is maintainable and well-commented. Let me know how you’d approach model selection, prompt engineering, and template creation, and include any relevant examples of similar automation work you’ve delivered.
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