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Set cron to: 0 */3 * * *\n * ─────────────────────────────────────────────────────────────────\n */\n\nimport { email } from \"https://esm.town/v/std/email\";\nimport Anthropic from \"npm:@anthropic-ai/sdk\";\nimport Parser from \"npm:rss-parser\";\n\n// Same sources — but we only look at last 3 hours\nconst SOURCES = {\n realEstate: [\n { name: \"Inman News\", url: \"https://www.inman.com/feed/\" },\n { name: \"HousingWire\", url: \"https://www.housingwire.com/feed/\" },\n { name: \"NAR Newsroom\", url: \"https://www.nar.realtor/rss/newsroom.xml\" },\n { name: \"The Real Deal\", url: \"https://therealdeal.com/feed/\" },\n ],\n aiTech: [\n { name: \"TechCrunch\", url: \"https://techcrunch.com/feed/\" },\n { name: \"The Verge\", url: \"https://www.theverge.com/rss/index.xml\" },\n { name: \"VentureBeat AI\", url: \"https://venturebeat.com/category/ai/feed/\" },\n ],\n finance: [\n { name: \"Reuters Business\", url: \"https://feeds.reuters.com/reuters/businessNews\" },\n { name: \"CNBC Top News\", url: \"https://www.cnbc.com/id/100003114/device/rss/rss.html\" },\n ],\n};\n\n// Keyword pre-filter — only call Claude if these appear in fresh articles.\n// This keeps the Claude API call count (and cost) near zero on quiet days.\nconst BREAKING_KEYWORDS = [\n // Real estate\n \"rate cut\", \"rate hike\", \"nar settlement\", \"commission ban\", \"doj\",\n \"housing crash\", \"brokerage shuts\", \"clear cooperation\", \"buyer agent ban\",\n // AI/Tech\n \"gpt-5\", \"gpt5\", \"claude 4\", \"gemini 3\", \"llama 4\", \"new model\", \"releases today\",\n \"acquires openai\", \"acquires anthropic\", \"agi\", \"releases o3\", \"releases o4\",\n // Finance\n \"fed cuts\", \"fed hikes\", \"emergency rate\", \"bank failure\", \"market crash\",\n \"recession\", \"dow drops\", \"nasdaq drops\", \"mortgage rate hits\",\n];\n\ninterface Article {\n title: string;\n summary: string;\n source: string;\n category: string;\n}\n\nasync function fetchRecent(): Promise {\n const parser = new Parser({ timeout: 8000 });\n const cutoff = new Date(Date.now() - 3 * 3_600_000); // last 3 hours\n const articles: Article[] = [];\n\n const allSources = [\n ...SOURCES.realEstate.map(s => ({ ...s, category: \"Real Estate\" })),\n ...SOURCES.aiTech.map(s => ({ ...s, category: \"AI & Tech\" })),\n ...SOURCES.finance.map(s => ({ ...s, category: \"Finance\" })),\n ];\n\n await Promise.allSettled(\n allSources.map(async (source) => {\n try {\n const feed = await parser.parseURL(source.url);\n for (const item of feed.items.slice(0, 10)) {\n const pubDate = item.pubDate ? new Date(item.pubDate) : null;\n if (pubDate && pubDate < cutoff) continue;\n const summary = (item.contentSnippet ?? item.summary ?? \"\")\n .replace(/<[^>]+>/g, \" \").replace(/\\s+/g, \" \").trim().slice(0, 250);\n articles.push({\n title: item.title?.trim() ?? \"\",\n summary,\n source: source.name,\n category: source.category,\n });\n }\n } catch { /* skip bad feeds */ }\n })\n );\n\n return articles;\n}\n\nfunction hasBreakingKeyword(article: Article): boolean {\n const text = `${article.title} ${article.summary}`.toLowerCase();\n return BREAKING_KEYWORDS.some(kw => text.includes(kw));\n}\n\ninterface BreakingItem {\n headline: string;\n summary: string;\n category: string;\n source: string;\n}\n\nasync function checkWithClaude(candidates: Article[]): Promise {\n const client = new Anthropic({ apiKey: Deno.env.get(\"ANTHROPIC_API_KEY\") });\n\n const formatted = candidates\n .map((a, i) => `[${i + 1}] [${a.category}] ${a.source}: ${a.title}\\n${a.summary}`)\n .join(\"\\n\\n\");\n\n const prompt = `You are a breaking news filter for a real estate brokerage. Review these articles from the last 3 hours.\n\nSend an alert ONLY for genuinely major news. Very high bar:\n- Real Estate: Fed rate decision, major NAR rule change, large brokerage collapse or acquisition\n- AI/Tech: Major new frontier model launched (GPT-5, Claude 4+, Gemini 3, etc.), major AI acquisition\n- Finance: Fed emergency action, major index drop >2%, bank failure\n\nArticles:\n${formatted}\n\nIf nothing meets the bar, return: {\"items\":[]}\n\nOtherwise return ONLY valid JSON, no markdown:\n{\n \"items\": [\n { \"headline\": \"...\", \"summary\": \"2 sentences\", \"category\": \"...\", \"source\": \"...\" }\n ]\n}`;\n\n const res = await client.messages.create({\n model: \"claude-haiku-4-5\",\n max_tokens: 600,\n messages: [{ role: \"user\", content: prompt }],\n });\n\n const raw = res.content[0].type === \"text\" ? res.content[0].text : \"{}\";\n const cleaned = raw.replace(/^```json\\n?/m, \"\").replace(/```$/m, \"\").trim();\n\n try {\n const parsed = JSON.parse(cleaned) as { items: BreakingItem[] };\n return parsed.items ?? [];\n } catch {\n return [];\n }\n}\n\nfunction buildBreakingEmail(items: BreakingItem[]): string {\n const now = new Date().toLocaleTimeString(\"en-US\", {\n hour: \"numeric\", minute: \"2-digit\", timeZoneName: \"short\",\n });\n\n const categoryColors: Record = {\n \"Real Estate\": \"#16a34a\",\n \"AI & Tech\": \"#7c3aed\",\n \"Finance\": \"#2563eb\",\n };\n const categoryEmojis: Record = {\n \"Real Estate\": \"🏠\",\n \"AI & Tech\": \"🤖\",\n \"Finance\": \"📈\",\n };\n\n const itemRows = items.map(item => {\n const color = categoryColors[item.category] ?? \"#475569\";\n const emoji = categoryEmojis[item.category] ?? \"📰\";\n return `\n \n

\n ${emoji} ${item.category}\n

${item.headline}

${item.summary}

via ${item.source}

\n `;\n }).join(\"\");\n\n return `\n\n\n\n\n

\n\n \n \n

⚡ Breaking Alert

Major News Just Dropped

${now}

\n ${itemRows}

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Code