next-generation UX intelligence 2026
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NexaUX is a curated library of AI agent prompts that instruct any
AI-powered IDE to build, enhance, and optimize your website for you.
No manual coding. Just paste, run, and ship.
📖 How It Works · 🧠 Prompt Library · ⚡ Quick Start · 🤝 Contributing
NexaUX is not a code library. It is a battle-tested collection of AI prompts written specifically to instruct AI coding agents — like Cursor, GitHub Copilot, Claude, Windsurf, Codeium, and others — to do the heavy lifting for you.
Each prompt is a precise, opinionated brief that tells the AI agent exactly what to build, what statistics to follow, and how to enhance your existing website — layer by layer — without rebuilding it from scratch.
You write nothing.
You paste a prompt into your AI agent.
The agent writes your code.
You review, approve, and ship.
NexaUX prompts work with any of these:
| Agent | Where to Paste the Prompt |
|---|---|
| Cursor | Ctrl+L → Chat panel → Paste prompt |
| GitHub Copilot | Copilot Chat sidebar → Paste prompt |
| Claude | claude.ai or Claude in your IDE → Paste prompt |
| Windsurf (Codeium) | Cascade chat panel → Paste prompt |
| Zed AI | AI inline assistant → Paste prompt |
| Any other AI IDE | Open the chat / agent panel → Paste prompt |
Open your existing website project in your AI-powered IDE. The prompts are written to enhance what you already have — not replace it.
Choose a prompt from the library below, copy it, and paste it into your AI agent's chat. The agent reads your codebase and applies the changes automatically.
Review the AI's output, request adjustments if needed, and push to production.
All prompts live in the /prompts folder. Here is what's available:
Runs all 5 layers in sequence. Best for a full website upgrade.
📄 prompts/master-enhancement.md
Covers: Responsive design · AI personalization · Behavioral analytics ·
Feature prioritization · 11 CRO quick wins · 2025–2026 benchmark targets
Makes your site look and work perfectly on phone and desktop.
📄 prompts/layer-1-responsive.md
Covers: Mobile-first CSS · Fluid grids · Breakpoints · Sticky CTAs ·
Touch targets · Skeleton loaders · Digital wallet detection
Instructs the agent to build a client-side personalization engine.
📄 prompts/layer-2-personalization.md
Covers: Device/time/visit signals · Dynamic hero swaps · CTA variants ·
Returning visitor mode · Segment self-selection · localStorage only
Builds a zero-dependency, privacy-first analytics and heatmap system.
📄 prompts/layer-3-analytics.md
Covers: Scroll depth tracking · Click heatmaps · CTA performance ·
Exit-intent detection · Hidden dev dashboard (Shift+Alt+D)
Builds a data-driven feature prioritization widget.
📄 prompts/layer-4-feature-pulse.md
Covers: Priority scoring algorithm · User upvoting · Trending badges ·
GitHub changelog panel · Feature engagement reports
11 statistically proven improvements applied in one pass.
📄 prompts/layer-5-cro-quickwins.md
Covers: Above-fold CTAs · Social proof placement · Form autofill ·
Trust badges · Real-people imagery · Micro-copy rewrites · Video blocks
nexa-ux/
│
├── 📂 prompts/
│ ├── master-enhancement.md # 🔑 Full 5-layer prompt (start here)
│ ├── layer-1-responsive.md # 📱 Responsive design
│ ├── layer-2-personalization.md # 🤖 AI personalization engine
│ ├── layer-3-analytics.md # 📊 Behavioral analytics + heatmaps
│ ├── layer-4-feature-pulse.md # 🎯 Feature prioritization widget
│ └── layer-5-cro-quickwins.md # ⚡ 11 proven CRO improvements
│
├── 📂 .github/
│ └── copilot-instructions.md # Auto-feeds context to GitHub Copilot
│
├── 📂 docs/
│ ├── BENCHMARKS.md # Full 2025–2026 CRO statistics
│ └── HOW_TO_USE_WITH_CURSOR.md # Step-by-step Cursor walkthrough
│
├── README.md # ← You are here
├── CHANGELOG.md
├── CONTRIBUTING.md
└── LICENSE
# 1. Clone NexaUX
git clone https://github.com/mdabir1203/nexa-ux.git
# 2. Open the prompt you need
open prompts/master-enhancement.md
# 3. Copy the full prompt text
# 4. Open your website project in Cursor / Copilot / Claude / Windsurf
# 5. Paste into the AI agent chat and let it workThat's it. The AI agent does the rest.
Every prompt in NexaUX is grounded in real 2025–2026 conversion rate science:
⚡ Speed & Performance Targets
| Stat | Benchmark |
|---|---|
| Sites loading ≤1s vs 5s | 3× higher conversion rate |
| Users abandoning at 3s+ | 53% leave |
| Per 1-second improvement | +4–7% conversions |
📱 Mobile Conversion Gap
| Stat | Benchmark |
|---|---|
| Mobile traffic share | ~65% of all visits |
| Mobile conversion rate | 2.49% |
| Desktop conversion rate | 5.06% |
| Sticky CTA lift | +12% |
| Digital wallet buttons | +21% mobile conversions |
🤖 Personalization Lift
| Stat | Benchmark |
|---|---|
| Personalized vs generic | Up to +200% conversions |
| AI content recommendations | +19% revenue per session |
🎨 UX & Design Impact
| Stat | Benchmark |
|---|---|
| Heatmap-optimized pages | +14% conversions |
| CTAs above the fold | +138% (Enhance Insurance, UK) |
| Real people vs stock photos | +20% trust |
| Social proof above forms | +50% form submissions |
| Micro-copy rewrites | +8% conversion lift |
🔁 Testing Velocity
| Stat | Benchmark |
|---|---|
| 10+ tests per month | Grow 2.1× faster |
| AI-assisted test ideation | +23% win rates |
| Industry | Average CVR | High-Performer CVR |
|---|---|---|
| eCommerce | 2.96% | 5–7% |
| SaaS | 9.5% | 15%+ |
| B2B Services | 4.94% | 10%+ |
| Finance | 10% | 20%+ |
| Social / Community | 2.4% | 5%+ |
- Master enhancement prompt
- Layer 1 — Responsive design prompt
- Layer 2 — AI personalization prompt
- Layer 3 — Behavioral analytics prompt
- Layer 4 — Feature Pulse prompt
- Layer 5 — CRO quick wins prompt
- Layer 6 — A/B test prompt (no Optimizely needed)
- Layer 7 — SEO optimization prompt
- Layer 8 — Accessibility (WCAG 2.2) audit prompt
- Layer 9 — Performance audit + Lighthouse fix prompt
- Layer 10 — Multilingual / i18n prompt
While NexaUX is completely open-source, orchestrating highly dynamic, multi-turn AI workflows at enterprise scale introduces unique structural bottlenecks. When human cognitive loads interface with erratic, latency-driven AI agents, small design failures transform into expensive churn metrics.
If your team is deploying mission-critical AI-agent features, we provide specialized architectural advisory, customized implementations, and deep-dive performance engineering.
Traditional frontend frameworks treat interfaces as static presentation layers. When moving to dynamic, agentic environments, product teams typically hit three major infrastructure walls:
- State-Serialization Failures: UI components breaking or desynchronizing during complex, multi-turn LLM reasoning loops.
- Latency-Induced Churn: High drop-off rates caused by unoptimized streaming states, opaque agent processing windows, and poor perceived performance.
- Prompt-to-UI Context Leaks: Frontend architectures that fail to parse, constrain, or pass contextual user states back to backend agents seamlessly.
We work directly with CTOs, CPOs, and Engineering Directors to audit, harden, and optimize their AI product interfaces.
Have a prompt that consistently produces great results? Contribute it.
- Fork the repository
- Add your prompt to
/prompts/with a clear filename - Include a short header comment explaining what the prompt does
- Open a Pull Request with a brief description
Read CONTRIBUTING.md for full guidelines.
NexaUX is released under the MIT License. Free to use, adapt, and share — attribution appreciated.
Prompts that think. Agents that build. You that ship.
⭐ Star this repo if NexaUX saved you hours of writing briefs.
NexaUX — Next-Generation UX Intelligence
NexaUX — Next-Generation UX Intelligence