From 026c6e41ccea334dd4ad946513136204b97cd82f Mon Sep 17 00:00:00 2001 From: bender Date: Wed, 4 Mar 2026 11:25:23 +0000 Subject: [PATCH] Update src/app/page.tsx --- src/app/page.tsx | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/src/app/page.tsx b/src/app/page.tsx index 80bd15f..5c21512 100644 --- a/src/app/page.tsx +++ b/src/app/page.tsx @@ -21,7 +21,7 @@ export default function LandingPage() { borderRadius="pill" contentWidth="mediumLarge" sizing="largeSizeMediumTitles" - background="noise" + background="circleGradient" cardStyle="gradient-mesh" primaryButtonStyle="radial-glow" secondaryButtonStyle="layered" @@ -50,7 +50,7 @@ export default function LandingPage() { tag="Powered by Multi-Agent AI" tagIcon={Zap} tagAnimation="slide-up" - background={{ variant: "noise" }} + background={{ variant: "glowing-orb" }} buttons={[ { text: "Start Free Trial", href: "https://app.arcliq.ai/trial" }, { text: "Watch Demo", href: "#demo" } @@ -70,7 +70,7 @@ export default function LandingPage() { description="Our multi-agent architecture orchestrates specialized AI agents that collaborate seamlessly to transform raw data into production-ready models." tag="The Process" tagIcon={Cpu} - tagAnimation="entrance-slide" + tagAnimation="slide-up" features={[ { id: "1", title: "Data Profiling Agent", description: "Automatically analyzes your dataset structure, identifies patterns, detects anomalies, and generates comprehensive exploratory data analysis (EDA) without manual intervention.", media: { @@ -85,7 +85,7 @@ export default function LandingPage() { }, { id: "2", title: "Algorithm Recommendation Agent", description: "Intelligently recommends suitable ML and deep learning algorithms based on your data characteristics, problem type, and performance objectives.", media: { - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=1" + imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png" }, items: [ { icon: Brain, text: "Smart algorithm selection" }, @@ -96,7 +96,7 @@ export default function LandingPage() { }, { id: "3", title: "Hyperparameter Optimization Agent", description: "Optimizes model parameters intelligently using advanced resource allocation instead of brute-force tuning, delivering peak performance with minimal computational waste.", media: { - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=2" + imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png" }, items: [ { icon: Settings, text: "Smart parameter tuning" }, @@ -129,12 +129,12 @@ export default function LandingPage() { description="Unlike black-box AutoML tools, Arcliq reveals why each model was chosen, how it's optimized, and what your data reveals. Built on a transparent, agent-driven architecture where every decision is traceable and every step is understandable." tag="What Makes Arcliq Different" tagIcon={Eye} - tagAnimation="entrance-slide" + tagAnimation="slide-up" buttons={[ { text: "Explore Features", href: "#features" } ]} buttonAnimation="slide-up" - imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=3" + imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png" imageAlt="Arcliq's transparent multi-agent architecture" useInvertedBackground={true} /> @@ -146,7 +146,7 @@ export default function LandingPage() { description="Arcliq delivers measurable impact across organizations of all sizes, from startups building their first ML model to enterprises scaling AI at scale." tag="Key Metrics" tagIcon={BarChart3} - tagAnimation="entrance-slide" + tagAnimation="slide-up" metrics={[ { id: "1", icon: Cpu, title: "Models Trained", value: "50,000+" }, { id: "2", icon: Database, title: "Datasets Processed", value: "100K+" }, @@ -165,7 +165,7 @@ export default function LandingPage() { description="From startups to enterprises, teams across industries leverage Arcliq to build ML-powered products faster and smarter." tag="Use Cases" tagIcon={Target} - tagAnimation="entrance-slide" + tagAnimation="slide-up" products={[ { id: "1", brand: "Startups", name: "Build ML Products Fast", price: "No Code Required", rating: 5, @@ -193,7 +193,7 @@ export default function LandingPage() { description="See what customers say about their experience with Arcliq's intelligent AutoML platform." tag="Testimonials" tagIcon={Star} - tagAnimation="entrance-slide" + tagAnimation="slide-up" testimonials={[ { id: "1", name: "Sarah Chen", handle: "@sarahc - CEO, DataFlow Labs", testimonial: "Arcliq cut our model development time from 3 months to 2 weeks. The transparent agent architecture helped our team understand exactly how models were chosen.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/professional-headshot-portrait-of-a-conf-1772623391265-d2cedd52.png", imageAlt: "Sarah Chen" @@ -227,7 +227,7 @@ export default function LandingPage() { description="Everything you need to know about Arcliq's intelligent AutoML platform." tag="FAQ" tagIcon={HelpCircle} - tagAnimation="entrance-slide" + tagAnimation="slide-up" faqs={[ { id: "1", title: "How does Arcliq differ from traditional AutoML tools?", content: "Arcliq uses a transparent multi-agent architecture where each AI agent specializes in a specific task: data analysis, algorithm recommendation, hyperparameter tuning, and model evaluation. Unlike black-box tools, you can see exactly why each model was chosen and how it's optimized. Our parallel-first approach also trains multiple models simultaneously, dramatically reducing experimentation time." @@ -270,7 +270,7 @@ export default function LandingPage() { { text: "Schedule Demo", href: "#contact-demo" } ]} buttonAnimation="slide-up" - background={{ variant: "noise" }} + background={{ variant: "glowing-orb" }} useInvertedBackground={false} /> -- 2.49.1