diff --git a/src/app/contact/page.tsx b/src/app/contact/page.tsx index 74f1a0f..d58f68f 100644 --- a/src/app/contact/page.tsx +++ b/src/app/contact/page.tsx @@ -3,227 +3,108 @@ import { ThemeProvider } from "@/providers/themeProvider/ThemeProvider"; import NavbarStyleFullscreen from "@/components/navbar/NavbarStyleFullscreen/NavbarStyleFullscreen"; import MetricSplitMediaAbout from "@/components/sections/about/MetricSplitMediaAbout"; -import FeatureBento from "@/components/sections/feature/FeatureBento"; +import FaqDouble from "@/components/sections/faq/FaqDouble"; import ContactCTA from "@/components/sections/contact/ContactCTA"; import FooterBaseCard from "@/components/sections/footer/FooterBaseCard"; import Link from "next/link"; -import { - Zap, - Mail, - Phone, - MapPin, - Sparkles, - MessageSquare, - Users, - Code, - Database, - Shield, - BarChart, - Rocket, - Home, - Settings, -} from "lucide-react"; +import { Sparkles, HelpCircle, Rocket, Mail } from "lucide-react"; export default function ContactPage() { return ( -
+
-
- +
-
+
@@ -78,23 +74,15 @@ export default function HomePage() { title="Multi-Agent AI Infrastructure for Enterprise" description="Build, orchestrate, and scale autonomous AI agents with production-grade architecture. Real-time reasoning, memory management, and tool execution—all in one platform." buttons={[ - { - text: "Start Building", - href: "https://docs.example.com", - }, - { - text: "View Architecture", - href: "#features", - }, + { text: "Start Building", href: "https://docs.example.com" }, + { text: "View Architecture", href: "#features" }, ]} buttonAnimation="slide-up" dashboard={{ - title: "Agent Orchestration Hub", - logoIcon: Brain, - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/a-cutting-edge-ai-agent-platform-dashboa-1772987655054-205a4722.png", - imageAlt: "AI Agent Dashboard", - searchPlaceholder: "Search agents, tasks, and logs...", - buttons: [ + title: "Agent Orchestration Hub", logoIcon: Brain, + imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/a-cutting-edge-ai-agent-platform-dashboa-1772987655054-205a4722.png", imageAlt: + "A cutting-edge AI agent platform dashboard interface featuring real-time monitoring of multiple auto", searchPlaceholder: "Search agents, tasks, and logs...", buttons: [ { text: "Deploy Agent", href: "#" }, { text: "View Metrics", href: "#" }, ], @@ -105,47 +93,32 @@ export default function HomePage() { ], stats: [ { - title: "Active Agents", - values: [45, 67, 89], - description: "Running instances", - }, + title: "Active Agents", values: [45, 67, 89], + description: "Running instances"}, { - title: "Tasks Completed", - values: [1240, 1850, 2340], - description: "This period", - }, + title: "Tasks Completed", values: [1240, 1850, 2340], + description: "This period"}, { - title: "Avg Response", - values: [245, 189, 156], - valueSuffix: "ms", - description: "Latency", - }, + title: "Avg Response", values: [245, 189, 156], + valueSuffix: "ms", description: "Latency"}, ], - chartTitle: "Agent Performance", - chartData: [ + chartTitle: "Agent Performance", chartData: [ { value: 65 }, { value: 78 }, { value: 92 }, { value: 85 }, { value: 88 }, ], - listTitle: "Recent Agent Actions", - listItems: [ + listTitle: "Recent Agent Actions", listItems: [ { icon: Zap, - title: "Research Agent: Market Analysis", - status: "Completed", - }, + title: "Research Agent: Market Analysis", status: "Completed"}, { icon: Code, - title: "Coding Agent: API Development", - status: "In Progress", - }, + title: "Coding Agent: API Development", status: "In Progress"}, { icon: CheckCircle, - title: "Reviewer Agent: Code Review", - status: "Completed", - }, + title: "Reviewer Agent: Code Review", status: "Completed"}, ], }} /> @@ -163,120 +136,62 @@ export default function HomePage() { useInvertedBackground={false} features={[ { - title: "LLM Reasoning Engine", - description: - "Advanced reasoning with GPT-4, Claude, Llama, and Mixtral models for intelligent task planning and decision-making.", - bentoComponent: "3d-stack-cards", - items: [ + title: "LLM Reasoning Engine", description: + "Advanced reasoning with GPT-4, Claude, Llama, and Mixtral models for intelligent task planning and decision-making.", bentoComponent: "3d-stack-cards", items: [ { icon: Brain, - title: "Multi-Model Support", - subtitle: "GPT-4 / Claude", - detail: "Switch between leading LLM providers seamlessly", - }, + title: "Multi-Model Support", subtitle: "GPT-4 / Claude", detail: "Switch between leading LLM providers seamlessly"}, { icon: GitBranch, - title: "ReAct Loop", - subtitle: "Reasoning + Acting", - detail: "Iterative reasoning with real-time action execution", - }, + title: "ReAct Loop", subtitle: "Reasoning + Acting", detail: "Iterative reasoning with real-time action execution"}, { icon: Zap, - title: "Fast Inference", - subtitle: "Sub-second Response", - detail: "Optimized for low-latency agent operations", - }, + title: "Fast Inference", subtitle: "Sub-second Response", detail: "Optimized for low-latency agent operations"}, ], }, { - title: "Memory System", - description: - "Persistent vector embeddings and long-term memory using ChromaDB, Pinecone, and Weaviate for intelligent context retention.", - bentoComponent: "orbiting-icons", - centerIcon: Database, + title: "Memory System", description: + "Persistent vector embeddings and long-term memory using ChromaDB, Pinecone, and Weaviate for intelligent context retention.", bentoComponent: "orbiting-icons", centerIcon: Database, items: [ - { icon: Shield, ring: 1 }, + { icon: Server, ring: 1 }, { icon: Zap, ring: 1 }, { icon: Shield, ring: 2 }, { icon: Layers, ring: 2 }, ], }, { - title: "Multi-Agent Orchestration", - description: - "Coordinate specialized agents—Manager, Research, Execution, Coding, and Reviewer—working as an intelligent team.", - bentoComponent: "icon-info-cards", - items: [ - { - icon: BarChart, - label: "Manager Agent", - value: "Workflow Control", - }, - { - icon: Search, - label: "Research Agent", - value: "Data Gathering", - }, - { - icon: Zap, - label: "Execution Agent", - value: "Action Performance", - }, - { - icon: Code, - label: "Coding Agent", - value: "Software Dev", - }, - { - icon: CheckCircle, - label: "Reviewer Agent", - value: "Quality Assurance", - }, + title: "Multi-Agent Orchestration", description: + "Coordinate specialized agents—Manager, Research, Execution, Coding, and Reviewer—working as an intelligent team.", bentoComponent: "icon-info-cards", items: [ + { icon: BarChart, label: "Manager Agent", value: "Workflow Control" }, + { icon: Search, label: "Research Agent", value: "Data Gathering" }, + { icon: Zap, label: "Execution Agent", value: "Action Performance" }, + { icon: Code, label: "Coding Agent", value: "Software Dev" }, + { icon: CheckCircle, label: "Reviewer Agent", value: "Quality Assurance" }, ], }, { - title: "Tool Execution Layer", - description: - "Seamless integration with 50+ tools: web search, APIs, GitHub, email, CRM, and custom developer tools.", - bentoComponent: "marquee", - centerIcon: Zap, - variant: "icon", - icons: [Globe, Code, Mail, BarChart, Zap, Shield], + title: "Tool Execution Layer", description: + "Seamless integration with 50+ tools: web search, APIs, GitHub, email, CRM, and custom developer tools.", bentoComponent: "marquee", centerIcon: Zap, + variant: "icon", icons: [Globe, Code, Mail, BarChart, Zap, Shield], }, { - title: "API Gateway & Queue Management", - description: - "FastAPI backend with Celery task queues and Redis caching for distributed agent execution and load balancing.", - bentoComponent: "timeline", - heading: "Agent Request Flow", - subheading: "From API to Execution", - items: [ + title: "API Gateway & Queue Management", description: + "FastAPI backend with Celery task queues and Redis caching for distributed agent execution and load balancing.", bentoComponent: "timeline", heading: "Agent Request Flow", subheading: "From API to Execution", items: [ + { label: "API Request", detail: "User sends task to gateway" }, { - label: "API Request", - detail: "User sends task to gateway", - }, + label: "Queue Management", detail: "Celery distributes to worker pool"}, { - label: "Queue Management", - detail: "Celery distributes to worker pool", - }, - { - label: "Agent Execution", - detail: "Agents process with Redis cache", - }, + label: "Agent Execution", detail: "Agents process with Redis cache"}, ], - completedLabel: "Completed", - }, + completedLabel: "Completed"}, { - title: "Cloud Deployment & Scaling", - description: - "Docker containerized agents with Kubernetes orchestration, auto-scaling, and monitoring across AWS, Google Cloud, and Azure.", - bentoComponent: "animated-bar-chart", - }, + title: "Cloud Deployment & Scaling", description: + "Docker containerized agents with Kubernetes orchestration, auto-scaling, and monitoring across AWS, Google Cloud, and Azure.", bentoComponent: "animated-bar-chart"}, ]} />
-
+
-
+
@@ -363,59 +261,29 @@ export default function HomePage() { useInvertedBackground={true} testimonials={[ { - id: "1", - name: "Sarah Johnson", - handle: "VP Engineering, TechCorp", - testimonial: - "AgentOS reduced our manual workflow time by 65% in the first month. The multi-agent orchestration is exactly what we needed for complex enterprise automation.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-tech-executiv-1772987652625-36c3e9fb.png?_wi=1", - imageAlt: "Sarah Johnson", - }, + id: "1", name: "Sarah Johnson", handle: "VP Engineering, TechCorp", testimonial: + "AgentOS reduced our manual workflow time by 65% in the first month. The multi-agent orchestration is exactly what we needed for complex enterprise automation.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-tech-executiv-1772987652625-36c3e9fb.png", imageAlt: "Sarah Johnson"}, { - id: "2", - name: "Michael Chen", - handle: "CTO, FinanceFlow", - testimonial: - "The LLM reasoning engine combined with our existing APIs created unprecedented automation capabilities. Enterprise-grade reliability with bleeding-edge AI performance.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-ai-researche-1772987652684-4bc3be29.png?_wi=1", - imageAlt: "Michael Chen", - }, + id: "2", name: "Michael Chen", handle: "CTO, FinanceFlow", testimonial: + "The LLM reasoning engine combined with our existing APIs created unprecedented automation capabilities. Enterprise-grade reliability with bleeding-edge AI performance.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-ai-researche-1772987652684-4bc3be29.png", imageAlt: "Michael Chen"}, { - id: "3", - name: "Emily Rodriguez", - handle: "Director of Automation, DataInsights", - testimonial: - "We deployed three specialized agents within a week. The ReAct loop architecture is brilliant—agents actually learn from execution patterns and improve over time.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-product-manag-1772987652986-8d96e966.png", - imageAlt: "Emily Rodriguez", - }, + id: "3", name: "Emily Rodriguez", handle: "Director of Automation, DataInsights", testimonial: + "We deployed three specialized agents within a week. The ReAct loop architecture is brilliant—agents actually learn from execution patterns and improve over time.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-product-manag-1772987652986-8d96e966.png", imageAlt: "Emily Rodriguez"}, { - id: "4", - name: "David Kim", - handle: "Founder, StartupXYZ", - testimonial: - "As a startup, we couldn't afford traditional enterprise automation. AgentOS gave us Fortune 500 capabilities at a fraction of the cost. Game-changer for our competitive edge.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-engineering--1772987653431-8fc616c4.png", - imageAlt: "David Kim", - }, + id: "4", name: "David Kim", handle: "Founder, StartupXYZ", testimonial: + "As a startup, we couldn't afford traditional enterprise automation. AgentOS gave us Fortune 500 capabilities at a fraction of the cost. Game-changer for our competitive edge.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-engineering--1772987653431-8fc616c4.png", imageAlt: "David Kim"}, { - id: "5", - name: "Priya Patel", - handle: "Engineering Manager, CloudSystems", - testimonial: - "The documentation and support are exceptional. Our team went from zero to production-grade multi-agent system in two weeks. Outstanding platform.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-tech-executiv-1772987652625-36c3e9fb.png?_wi=2", - imageAlt: "Priya Patel", - }, + id: "5", name: "Priya Patel", handle: "Engineering Manager, CloudSystems", testimonial: + "The documentation and support are exceptional. Our team went from zero to production-grade multi-agent system in two weeks. Outstanding platform.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-a-tech-executiv-1772987652625-36c3e9fb.png", imageAlt: "Priya Patel"}, { - id: "6", - name: "James Wilson", - handle: "VP Product, EnterpriseTech", - testimonial: - "AgentOS is the foundation of our new product line. The reasoning engine, memory system, and tool integration capabilities are unmatched in the market.", - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-ai-researche-1772987652684-4bc3be29.png?_wi=2", - imageAlt: "James Wilson", - }, + id: "6", name: "James Wilson", handle: "VP Product, EnterpriseTech", testimonial: + "AgentOS is the foundation of our new product line. The reasoning engine, memory system, and tool integration capabilities are unmatched in the market.", imageSrc: + "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Afaxor0c3SQZSw5hntbOw7buIX/professional-headshot-of-an-ai-researche-1772987652684-4bc3be29.png", imageAlt: "James Wilson"}, ]} speed={40} /> @@ -433,81 +301,29 @@ export default function HomePage() { useInvertedBackground={false} plans={[ { - id: "starter", - price: "$500/mo", - name: "Starter", - buttons: [ - { - text: "Start Free Trial", - href: "https://app.example.com/trial", - }, - { - text: "View Documentation", - href: "https://docs.example.com", - }, + id: "starter", price: "$500/mo", name: "Starter", buttons: [ + { text: "Start Free Trial", href: "https://app.example.com/trial" }, + { text: "View Documentation", href: "https://docs.example.com" }, ], features: [ - "Up to 3 concurrent agents", - "Basic LLM models (Llama, Mixtral)", - "5GB memory storage", - "API requests: 1M/month", - "Email support", - "Single environment", - ], + "Up to 3 concurrent agents", "Basic LLM models (Llama, Mixtral)", "5GB memory storage", "API requests: 1M/month", "Email support", "Single environment"], }, { - id: "professional", - badge: "Most Popular", - badgeIcon: Sparkles, - price: "$2,500/mo", - name: "Professional", - buttons: [ - { - text: "Get Started", - href: "https://app.example.com/signup", - }, - { - text: "Schedule Demo", - href: "https://calendly.example.com", - }, + id: "professional", badge: "Most Popular", badgeIcon: Sparkles, + price: "$2,500/mo", name: "Professional", buttons: [ + { text: "Get Started", href: "https://app.example.com/signup" }, + { text: "Schedule Demo", href: "https://calendly.example.com" }, ], features: [ - "Up to 20 concurrent agents", - "All LLM models (GPT-4, Claude, Llama)", - "100GB memory storage", - "API requests: 10M/month", - "Priority support (24/7)", - "Multi-environment support", - "Advanced monitoring & analytics", - "Custom tool integration", - ], + "Up to 20 concurrent agents", "All LLM models (GPT-4, Claude, Llama)", "100GB memory storage", "API requests: 10M/month", "Priority support (24/7)", "Multi-environment support", "Advanced monitoring & analytics", "Custom tool integration"], }, { - id: "enterprise", - price: "Custom", - name: "Enterprise", - buttons: [ - { - text: "Contact Sales", - href: "https://calendly.example.com/enterprise", - }, - { - text: "View Architecture", - href: "#", - }, + id: "enterprise", price: "Custom", name: "Enterprise", buttons: [ + { text: "Contact Sales", href: "https://calendly.example.com/enterprise" }, + { text: "View Architecture", href: "#" }, ], features: [ - "Unlimited concurrent agents", - "Dedicated model endpoints", - "Unlimited memory storage", - "Unlimited API requests", - "24/7 dedicated support team", - "Full environment management", - "Custom SLAs & guarantees", - "On-premise deployment options", - "Advanced security & compliance", - "Dedicated infrastructure", - ], + "Unlimited concurrent agents", "Dedicated model endpoints", "Unlimited memory storage", "Unlimited API requests", "24/7 dedicated support team", "Full environment management", "Custom SLAs & guarantees", "On-premise deployment options", "Advanced security & compliance", "Dedicated infrastructure"], }, ]} /> @@ -525,65 +341,35 @@ export default function HomePage() { useInvertedBackground={true} faqs={[ { - id: "1", - title: "What is the ReAct architecture?", - content: - "ReAct (Reasoning and Acting) is our core agent loop: agents receive goals, generate plans, select appropriate tools, execute actions, observe results, and iteratively update their approach until the goal is achieved. This creates self-improving autonomous agents that learn from experience.", - }, + id: "1", title: "What is the ReAct architecture?", content: + "ReAct (Reasoning and Acting) is our core agent loop: agents receive goals, generate plans, select appropriate tools, execute actions, observe results, and iteratively update their approach until the goal is achieved. This creates self-improving autonomous agents that learn from experience."}, { - id: "2", - title: "Which LLM models are supported?", - content: - "AgentOS supports all major models: OpenAI GPT-4 and GPT-3.5, Anthropic Claude, Meta Llama (7B-70B), and Mixtral. You can switch between models without code changes, and we handle model-specific optimizations automatically.", - }, + id: "2", title: "Which LLM models are supported?", content: + "AgentOS supports all major models: OpenAI GPT-4 and GPT-3.5, Anthropic Claude, Meta Llama (7B-70B), and Mixtral. You can switch between models without code changes, and we handle model-specific optimizations automatically."}, { - id: "3", - title: "How does the memory system work?", - content: - "We maintain both short-term memory (conversation context) and long-term memory (persistent embeddings). Long-term memory uses vector databases like ChromaDB, Pinecone, or Weaviate to store learned patterns and context, enabling agents to improve performance over time.", - }, + id: "3", title: "How does the memory system work?", content: + "We maintain both short-term memory (conversation context) and long-term memory (persistent embeddings). Long-term memory uses vector databases like ChromaDB, Pinecone, or Weaviate to store learned patterns and context, enabling agents to improve performance over time."}, { - id: "4", - title: "Can I run agents on-premise?", - content: - "Yes. Enterprise customers can deploy AgentOS on-premise with Docker and Kubernetes. We provide complete deployment guides, Helm charts, and dedicated support for your infrastructure setup.", - }, + id: "4", title: "Can I run agents on-premise?", content: + "Yes. Enterprise customers can deploy AgentOS on-premise with Docker and Kubernetes. We provide complete deployment guides, Helm charts, and dedicated support for your infrastructure setup."}, { - id: "5", - title: "What tools can agents integrate with?", - content: - "Agents can integrate with 50+ pre-built tools including web search, code execution, GitHub, Google Calendar, email, Slack, Notion, and any custom API. We handle OAuth, authentication, and rate limiting automatically.", - }, + id: "5", title: "What tools can agents integrate with?", content: + "Agents can integrate with 50+ pre-built tools including web search, code execution, GitHub, Google Calendar, email, Slack, Notion, and any custom API. We handle OAuth, authentication, and rate limiting automatically."}, { - id: "6", - title: "How is data security handled?", - content: - "We implement enterprise-grade security: encryption at rest and in transit, SOC 2 Type II compliance, GDPR/CCPA support, role-based access control, and audit logging. Enterprise customers can enable additional compliance features and data residency options.", - }, + id: "6", title: "How is data security handled?", content: + "We implement enterprise-grade security: encryption at rest and in transit, SOC 2 Type II compliance, GDPR/CCPA support, role-based access control, and audit logging. Enterprise customers can enable additional compliance features and data residency options."}, { - id: "7", - title: "What's your uptime SLA?", - content: - "Professional and Enterprise plans include 99.9% uptime SLA with automatic failover, redundant infrastructure, and 24/7 monitoring. We maintain infrastructure across multiple cloud providers for geographic redundancy.", - }, + id: "7", title: "What's your uptime SLA?", content: + "Professional and Enterprise plans include 99.9% uptime SLA with automatic failover, redundant infrastructure, and 24/7 monitoring. We maintain infrastructure across multiple cloud providers for geographic redundancy."}, { - id: "8", - title: "How does multi-agent orchestration work?", - content: - "Our orchestrator manages specialized agents: Manager controls workflow, Research gathers data, Execution performs actions, Coding handles development, and Reviewer ensures quality. Agents communicate through a message bus and share a common memory layer.", - }, + id: "8", title: "How does multi-agent orchestration work?", content: + "Our orchestrator manages specialized agents: Manager controls workflow, Research gathers data, Execution performs actions, Coding handles development, and Reviewer ensures quality. Agents communicate through a message bus and share a common memory layer."}, { - id: "9", - title: "Can I customize the agent behavior?", - content: - "Absolutely. You can define custom system prompts, tool access rules, reasoning strategies, and memory policies. We provide Python and TypeScript SDKs for building domain-specific agents tailored to your workflows.", - }, + id: "9", title: "Can I customize the agent behavior?", content: + "Absolutely. You can define custom system prompts, tool access rules, reasoning strategies, and memory policies. We provide Python and TypeScript SDKs for building domain-specific agents tailored to your workflows."}, { - id: "10", - title: "What kind of scaling can AgentOS handle?", - content: - "AgentOS scales horizontally across Kubernetes clusters. We've tested with thousands of concurrent agents. Load balancing, auto-scaling policies, and cost optimization are built-in. Enterprise customers get dedicated capacity planning.", - }, + id: "10", title: "What kind of scaling can AgentOS handle?", content: + "AgentOS scales horizontally across Kubernetes clusters. We've tested with thousands of concurrent agents. Load balancing, auto-scaling policies, and cost optimization are built-in. Enterprise customers get dedicated capacity planning."}, ]} />
@@ -596,14 +382,8 @@ export default function HomePage() { title="Transform Your Workflows with Autonomous AI Agents" description="Schedule a demo to see AgentOS in action, or start building with our free tier. Our team will help you design the perfect multi-agent system for your enterprise." buttons={[ - { - text: "Schedule Demo", - href: "https://calendly.example.com", - }, - { - text: "Start Free Trial", - href: "https://app.example.com/trial", - }, + { text: "Schedule Demo", href: "https://calendly.example.com" }, + { text: "Start Free Trial", href: "https://app.example.com/trial" }, ]} buttonAnimation="slide-up" background={{ variant: "radial-gradient" }} @@ -616,38 +396,31 @@ export default function HomePage() { logoText="AgentOS" columns={[ { - title: "Platform", - items: [ + title: "Platform", items: [ { label: "Features", href: "#features" }, - { label: "Architecture", href: "#about" }, - { label: "Pricing", href: "/pricing" }, + { label: "Architecture", href: "#architecture" }, + { label: "Pricing", href: "#pricing" }, { label: "Docs", href: "https://docs.example.com" }, ], }, { - title: "Company", - items: [ + title: "Company", items: [ { label: "About", href: "https://example.com/about" }, { label: "Blog", href: "https://blog.example.com" }, { label: "Careers", href: "https://careers.example.com" }, - { label: "Contact", href: "/contact" }, + { label: "Contact", href: "#contact" }, ], }, { - title: "Resources", - items: [ + title: "Resources", items: [ { label: "API Reference", href: "https://docs.example.com/api" }, - { - label: "Tutorials", - href: "https://docs.example.com/tutorials", - }, + { label: "Tutorials", href: "https://docs.example.com/tutorials" }, { label: "SDK", href: "https://github.com/agentosxyz" }, { label: "Community", href: "https://community.example.com" }, ], }, { - title: "Legal", - items: [ + title: "Legal", items: [ { label: "Privacy Policy", href: "#" }, { label: "Terms of Service", href: "#" }, { label: "Security", href: "https://security.example.com" },