feat(www): refactor landing page sections, add new diagrams and UI improvements

This commit is contained in:
Musa 2025-11-18 13:56:27 -08:00
parent 2a50b02d03
commit 94447c14e6
15 changed files with 996 additions and 63 deletions

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@ -1,34 +1,47 @@
import React from "react";
import { AsciiDiagram } from "@/components/AsciiDiagram";
import { diagrams } from "@/data/diagrams";
import Image from "next/image";
export function IntroSection() {
return (
<section className="relative bg-[#1a1a1a] text-white py-20 px-6 lg:px-[102px]">
<div className="max-w-324 mx-auto">
<div className="flex flex-col lg:flex-row gap-12 items-start">
<div className="flex flex-col lg:flex-row gap-12 items-center">
{/* Left Content */}
<div className="flex-1">
{/* Heading */}
<p className="font-mono font-bold text-primary-light text-xl tracking-[1.92px]! mb-4 leading-[1.102]">
WHY PLANO?
</p>
<h2 className="font-sans font-medium tracking-[-1.92px]! text-[#9797ea] text-4xl leading-[1.102] mb-6 max-w-[633px]">
Go beyond AI nascent demos
Ship prototypes to production
<span className="italic">fast.</span>
</h2>
{/* Body Text */}
<div className="font-mono tracking-[-0.96px]! text-white text-lg max-w-[713px]">
<p className="mb-0 leading-8">
Plano is the infrastructure layer for building, scaling, and routing AI agents. It sits between your app and your models, enforcing safety guardrails, orchestrating multi-agent workflows, and unifying access across large language models.
</p>
<br />
<p className="mb-0 leading-8">
Developers use Plano to build faster, platform teams use it to unify governance, and AI leads use it to run continuously learning systems that stay aligned, safe, and performant. From SaaS backends to distributed ecosystems, Plano turns raw agent logic into something you can deploy, monitor, and evolve in production.
Plano is a framework-friendly proxy server and dataplane for agents,
deployed as a sidecar. Plano handles the critical plumbing work in AI
like agent routing and orchestration, comprehensive traces for agentic
interactions, guardrail hooks, unified APIs for LLMs so <strong> developers </strong>
can focus more on modeling workflows, <strong> product teams </strong> can accelerate
feedback loops for reinforcement learning and <strong>engineering teams</strong> can
standardize policies and access controls across every agent and LLM for
safer, more reliable scaling.
</p>
</div>
</div>
{/* Right Diagram */}
<div className="lg:w-[660px] relative flex-shrink-0">
<AsciiDiagram content={diagrams.infrastructureLayer} className="max-w-none mx-0" />
<div className="flex-1 relative w-full">
<Image
src="/NetworkPathDiagram.svg"
alt="Network Path Diagram"
width={800}
height={600}
className="w-full h-auto"
priority
/>
</div>
</div>
</div>