import { generateMeta, validateMeta } from '@rankforge/meta'

const meta = generateMeta({
  title: 'RankForge — AI SEO Toolkit',
  description: 'Automate SEO and performance optimization with AI.',
  url: 'https://example.com',
  image: 'https://example.com/og.png',
})

const issues = validateMeta(meta)

import { generateArticleSchema, renderSchemaTag } from '@rankforge/schema'

const schema = generateArticleSchema({
  headline: 'How to Improve Core Web Vitals',
  author: { name: 'Jane Doe' },
  datePublished: '2024-01-01',
})

console.log(renderSchemaTag(schema))

import { AICopilot } from '@rankforge/ai'

const copilot = new AICopilot(myLLM)

const response = await copilot.ask('Why is my LCP slow?', {
  metrics: { lcp: 4200 },
})

console.log(response.explanation)
console.log(response.fixSteps)

import { calculateLCPScore, detectLCPIssues } from '@rankforge/performance'

const score = calculateLCPScore(2400) // ms → 0-100
const issues = detectLCPIssues({ resources: [...], renderBlockers: [...] })

import { detectHydrationMismatches } from '@rankforge/hydration'

const result = detectHydrationMismatches(serverHTML, clientHTML)
if (result.hasMismatches) {
  console.log(result.mismatches)
}

interface LLM {
  complete: (prompt: string | object) => Promise<{ text: string }>
}