UI/UX Prototype Generator AI is a UI/UX design partner that generates realistic iOS, Android, web, and tablet interface screenshots from descriptions, wireframes, and existing product references. Unlike generic chatbots that forget palettes and component styles between screens, this agent locks a visual system after the first accepted design and carries it through every subsequent screen. Built on Jenova's unified platform, it combines models from OpenAI, Anthropic, Google, and more with image generation and export tools for stakeholder-ready deliverables.
UI/UX Prototype Generator produces screenshot-quality app and web screens — status bars, home indicators, system fonts, and plausible data — rather than schematic mockups. iOS output follows Human Interface Guidelines with SF Pro, SF Symbols, safe areas, Dynamic Island, and tab bars; Android follows Material Design 3 with adaptive layouts, navigation drawers, and FABs; web and SaaS work uses 16:9 frames with sidebar navigation, breadcrumbs, data tables, and bento grids. Content is contextual (real names, dates, balances), not lorem ipsum, so a generated screen can sit in a review deck without looking like a concept sketch.
UI/UX Prototype Generator reads uploaded product screenshots, brand guidelines, and style guides, then extracts primary and secondary colors, typography, spacing rhythm, component styles, and shape language. Once you confirm those findings, the visual system is locked so later screens inherit the same radius, elevation, and type scale instead of drifting. If the request sounds like a redesign of an existing product, the AI asks for current UI first and works on that language rather than inventing a parallel look.
UI/UX Prototype Generator reviews an existing screen by stating what already works, then ranking problems as usability blockers, visual polish, and nice-to-haves. Critique names concrete fixes — contrast on a primary CTA, touch-target size on a tab bar, missing empty states, skeleton loaders instead of spinners — rather than calling a layout "cluttered." After the analysis, this agent can generate an improved version that preserves logos, icons, and brand colors unless you explicitly change them.
UI/UX Prototype Generator treats onboarding, checkout, and dashboard journeys as sequences, not isolated artboards. The first accepted screen establishes the design system; each following screen is generated as a separate image that references the previous one so tab bars, color mode, and component radius stay aligned. A running Flow Map records which action on Screen A opens Screen B and what data should persist, so CTAs and navigation remain logically connected across the set.
UI/UX Prototype Generator can look up competitor treatments and platform guidance via Google Images and Google Search, including community discussion of patterns, then fold those findings into the next generation. Accepted screens can be assembled into a stakeholder PDF, annotation notes as DOCX, or plain-text design specs, then filed in Google Drive or Dropbox. Description → screenshot → pattern check → shareable deck stays inside one conversation instead of bouncing between a chatbot, a stock-image search, and a slide tool.
| Traditional Approach | UI/UX Prototype Generator |
|---|---|
| Blank Figma file for every screen | Screenshot-quality screens from a description |
| Palette forgotten by screen five | Style Lock holds colors and components |
| Research, generate, and export separately | Description to screenshot to stakeholder PDF |
| Generic blue dashboard by default | HIG, Material, and category-native patterns |
Unlimited Memory vs. Chatbot Amnesia
A generic chatbot generating screen six of an onboarding flow has already dropped the 8pt grid, card radius, and SF Pro scale from screen one — so the confirmation step arrives with a new accent color, mismatched tab bar icons, and different elevation. UI/UX Prototype Generator keeps a Style Lock (palette, typography, spacing rhythm, component styles, shape language), a Screen Inventory of accepted frames, and a Flow Map of how those frames connect. That persistence is what makes a five-screen checkout read as one product instead of five unrelated pictures.
Multi-Model AI Access
Composing a generation prompt that specifies Dynamic Island, safe areas, and plausible transaction data is a reasoning task; producing the 9:16 screenshot is an image-model task; critiquing an uploaded dashboard for contrast and touch targets is another reasoning pass. Single-vendor tools lock both jobs to one stack — ChatGPT to OpenAI, Claude to Anthropic. This agent routes across OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more, and you can switch image models when one handles dense settings type or a glassmorphism treatment more cleanly than another.
Intelligent Tool Integration for End-to-End Workflows
The production path is a design pipeline, not a chat: a screen description or uploaded wireframe goes into image generation; Google Images and Google Search pull competitor patterns or Human Interface Guidelines clarifications; surgical edits preserve branding while changing only what you asked; PDF, DOCX, or TXT export turns the accepted set into a review deck or handoff notes; Google Drive or Dropbox stores the Screen Inventory. Input is a flow brief or current UI. Output is a coherent set of screens plus something you can send to stakeholders.
Pattern heuristics instead of decorative trends
UI/UX Prototype Generator picks navigation and feedback from stated heuristics — tab bars for three to five mobile destinations, sidebars for SaaS hierarchies, command palettes for power-user tools, toasts versus modals versus bottom sheets based on interruption cost. Glassmorphism, neumorphism, brutalism, mesh gradients, and claymorphism are used when they serve brand and audience, not as default dressing. A fintech app can be bold; a children's app can be minimal — category does not dictate aesthetic, and "clean blue SaaS" is treated as a failure mode to check, not a safe baseline.
Product designers exploring screen concepts
UI/UX Prototype Generator lets designers compare navigation patterns, density, and visual personality before spending a cycle in a design file. Trade-offs are discussed at a peer level; basics are skipped.
Founders and non-designers shipping a first product
The AI leads with a recommendation, explains the why in accessible language, and generates once app type and screen purpose are clear rather than front-loading a questionnaire.
Product managers assembling review decks
A flow description becomes a connected set of screens, then a PDF for stakeholder review, with a Screen Inventory of what has already been accepted.
Mobile and SaaS engineers checking platform conventions
Engineers who need correct iOS safe areas, Android navigation drawers, or desktop sidebar-and-breadcrumb layouts can generate reference screens without waiting on a design pass.
Teams redesigning an existing product
If the brief is "fix our dashboard" or "redesign current onboarding," this agent asks for screenshots, extracts the live design system, and iterates on the real UI instead of inventing a lookalike.
Free For exploring Jenova:
Plus ($20/month) For individuals:
Premium ($50/month) For regular users:
Pro ($100/month) For power users:
Max ($200/month) For professionals:
Ultra ($500/month) For heavy professionals:
Enterprise ($1,000/month) For businesses:
All plans are billed monthly with no daily usage caps — your full quota is available immediately on each billing date.
UI/UX Prototype Generator is an AI design partner that turns screen descriptions, sketches, and existing UI into realistic app and web interface screenshots. It applies iOS Human Interface Guidelines, Material Design 3, and common SaaS dashboard patterns, and it holds a locked visual system so a multi-screen flow stays coherent. Collaboration is immediate once there is enough context — app type plus screen purpose is usually sufficient to start.
UI/UX Prototype Generator retains the project's Style Lock, accepted Screen Inventory, and Flow Map, so screen eight of a checkout still uses the same spacing rhythm and tab bar as screen one — a fresh ChatGPT or Claude thread will not. Critique, prompt composition, and screenshot generation can be routed across OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more instead of a single-vendor image and language stack. Image generation, Google Images, Google Search, PDF and DOCX export, and Drive or Dropbox storage run as one path from a brief to a stakeholder deck.
UI/UX Prototype Generator uses image generation as the production step, Google Images and Google Search (including Reddit threads on real-world pattern feedback) for competitor and guideline research, and PDF, DOCX, and TXT export for decks, annotation notes, and design specs. Confirmed screens can be organized in Google Drive or Dropbox. The working chain is: describe or upload → generate or edit the interface → research a pattern if needed → export a shareable artifact.
No. This agent produces raster interface screenshots and written design notes — not SwiftUI, React, or vector exports. Use the screens as layout and visual references inside your own design and engineering tools.
Yes. iOS work applies Human Interface Guidelines, SF Symbols, SF Pro, safe areas, and Dynamic Island; Android work follows Material Design 3, adaptive layouts, FABs, and system fonts. Web and SaaS screens use responsive breakpoints, sidebar navigation, breadcrumbs, and data-table patterns. Platform-native conventions are the default unless you already have a cross-platform design system.
Yes. Upload current screens or a style guide and the AI extracts colors, typography, spacing, component styles, and shape language, then confirms before locking that system. Later generations preserve logos, icons, and brand colors unless you ask to change them.
Image generation handles UI labels reasonably but struggles with dense or paragraph-length copy. For settings, terms, and long-form screens, this agent keeps type large enough to stay legible and uses representative content rather than full legal paragraphs. Treat those outputs as layout references if you need pixel-perfect type.
No. Video, animation, production code, vector export, app icons, logos, and print design are out of scope. The AI will say so rather than invent those deliverables.
Yes. Each screen in a connected flow is generated as a separate image, with later frames referencing earlier ones so the design system holds. The AI maps which action on Screen A opens Screen B and keeps CTAs and persisted data coherent. Consistency across a very large set still has limits — the reference-image method is strong, but it is not a single source-of-truth design file.
No. Before generating, the AI reasons through visual density, color approach, shape language, depth, and visual personality against your brand and audience, and it checks whether it is defaulting to "clean SaaS" or a safe blue accent. Category conventions — trust signals in fintech, motivational elements in fitness, real-time status in food delivery, keyboard shortcuts in productivity — are applied, but category does not equal aesthetic.
Yes. UI/UX Prototype Generator runs with full feature parity on web, iOS, and Android, so you can generate, critique, and iterate on screens during a hallway review or a client call. iOS app: https://apps.apple.com/app/jenova/id6747692301. Android app: https://play.google.com/store/apps/details?id=ai.jenova.app.prod.
No. Product screenshots, style guides, and conversation history are not used to train public AI models, are encrypted in transit and at rest, and are not sold or shared with advertisers.
UI/UX Prototype Generator is part of Jenova, the most powerful AI agent platform in the world. Jenova provides unified access to leading AI models from OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more — alongside intelligent tool integrations for end-to-end task completion. The platform features persistent cross-session memory, automated workflow orchestration, and full parity across web, iOS, and Android. Developed by Azeroth Inc., a New York-based technology company, Jenova serves users in over 70 countries.
For developers, the Jenova Agent API provides a fully-managed agent backend with built-in orchestration, multi-model routing, memory, storage, and MCP tool support — replacing the need to stitch together raw LLM APIs, vector databases, and custom tool servers.
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