info-stream（信息流）

Daily News Collector

Automated methodology for collecting, curating, and distributing industry news.

Architecture: Collect → Cache → Distribute

Separate collection (slow) from distribution (fast) using a file cache.

07:00  Collect news → Write to weekly file (slow, ~3-5 min)
08:00  Read file → Push to chat (instant, <10 sec)

Key insight: Collection and distribution happen the same morning. News is at most ~1 hour old when delivered, not 9+ hours.

Setup Steps

1. Create Weekly File

Create a markdown file for the current week: weekly-news-YYYY-WNN.md

2. Collection Cron (daily, 07:00)

Schedule an isolated agentTurn cron job that:

1. Checks if today's report already exists in the weekly file (anti-duplication)
2. Searches news sources via two methods:

- Tavily API (~80% weight): Broad search across multiple keyword groups - web_fetch (~20% weight): Deep crawl of core technical blogs

1. Selects top 10-15 stories, grouped by category
2. Writes formatted report to weekly file with today's date

3. Distribution Cron (daily, 08:00)

Schedule an isolated agentTurn cron job that:

1. Reads the weekly file
2. Finds today's report by date header
3. Pushes content to chat
4. If not found, notifies user instead of generating new content

Timing: 1 hour gap between collection and distribution ensures collection completes before push.

Search Strategy

Layer 1: AI Search API (Broad Discovery, ~80% weight)

Use Tavily API (or similar) with keyword groups tailored to your domain. Example for browser/AI news (7 groups, ~27 candidates):

• Group 1: browser Chrome Firefox Safari Edge news 2026 (5 results, topic: news)
• Group 2: AI machine learning LLM technology news March 2026 (5 results, topic: news)
• Group 3: Local language keywords for regional coverage — e.g. 中国科技 AI 浏览器 最新消息 (5 results, topic: news)
• Group 4: Web standards W3C WHATWG V8 JavaScript new features 2026 (3 results, topic: news)
• Group 5: Platform-specific keywords — e.g. Android Chrome mobile browser development 2026 (3 results, topic: news)
• Group 6: Chinese AI media keywords — e.g. APPSO 机器之心 量子位 AI 人工智能 最新 (3 results, topic: news)
• Group 7: Chinese tech industry keywords — e.g. 虎嗅 雷科技 科技行业 消费电子 (3 results, topic: news)

See references/tavily-setup.md for Tavily API setup.

Layer 2: Core Blog Crawl (Deep Coverage, ~20% weight)

Use web_fetch to directly crawl authoritative blogs. These guarantee coverage of domain-specific news that AI search might miss.

Example sources for browser/AI domain:

• WebKit Blog: https://webkit.org/blog/
• V8 Blog: https://v8.dev/blog
• Mozilla Hacks: https://hacks.mozilla.org/
• Chromium Blog: https://blog.chromium.org/

Layer 3: Aggregator Check (Community Pulse)

Check community aggregators for trending discussions:

• Hacker News: https://news.ycombinator.com

Three-Layer Information Source Model

Each layer should contribute 2-3 stories minimum to ensure balanced coverage.

Report Format

Title

## YYYY.M.D Report Title | Day N

Categories (ordered by priority)

Use domain-specific categories. Examples:

• ### 🔧 Browser Engine & Web Standards
• ### 🦊 Firefox / Mozilla
• ### 🤖 AI & Browser Tech
• ### 🇨🇳 Regional Tech
• ### 📱 Mobile / Web Dev

Story Format

N. emoji **Title** — Description (2-3 sentences with specific details like version numbers, data, impact)
   - Source: full clickable URL

Insights Section

#### 💡 Analyst Insights

💡 **Insight Title** — Analysis (2-3 sentences with actionable perspective)

Footer

*Sources: Source1 · Source2 · Source3*
*Collected: YYYY-MM-DD HH:MM TZ*

Anti-Duplication Rules

Critical: Multiple cron sessions may run simultaneously and cause conflicts.

1. Collection cron: Before writing, scan file for today's date header (## YYYY.M.D). If found, output "Report exists, skipping" and exit. Do NOT overwrite.
2. Distribution cron: Read-only. Never search, never write. If report missing, only notify user.
3. Strict division: Collection writes, distribution reads. Never cross.

Quality Control

• Select for technical depth and impact, not quantity
• "Better 8 great stories than 15 mediocre ones"
• Cross-reference: prefer the original source when story appears in multiple feeds
• Each story must have a clickable URL
• Insights must add analysis, not just repeat the news

Tavily Search Script (tavily-search.js)

Save this as tavily-search.js and run with: node tavily-search.js "query" [max_results] [topic] [search_depth]

Requires TAVILY_API_KEY environment variable.

#!/usr/bin/env node
/**
 * Tavily Search — AI-optimized search API wrapper for news collection
 * Usage: node scripts/tavily-search.js "query" [max_results] [topic] [search_depth]
 *
 * Env: TAVILY_API_KEY required
 * Output: JSON with results array (title, url, content, score)
 */

const https = require('https');

const API_KEY = process.env.TAVILY_API_KEY;
if (!API_KEY) {
  console.error('Error: TAVILY_API_KEY environment variable not set');
  process.exit(1);
}

const query = process.argv[2];
const maxResults = parseInt(process.argv[3]) || 5;
const topic = process.argv[4] || 'general';
const searchDepth = process.argv[5] || 'basic';

if (!query) {
  console.error('Usage: node tavily-search.js "query" [max_results] [topic] [search_depth]');
  process.exit(1);
}

const payload = JSON.stringify({
  query,
  max_results: maxResults,
  topic,
  search_depth: searchDepth,
  include_answer: true,
  include_raw_content: false,
});

const req = https.request({
  hostname: 'api.tavily.com',
  path: '/search',
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${API_KEY}`,
  },
}, (res) => {
  let body = '';
  res.on('data', (chunk) => body += chunk);
  res.on('end', () => {
    try {
      const data = JSON.parse(body);
      const output = {
        query: data.query,
        answer: data.answer || null,
        results: (data.results || []).map(r => ({
          title: r.title,
          url: r.url,
          content: r.content?.substring(0, 500),
          score: r.score,
        })),
      };
      console.log(JSON.stringify(output, null, 2));
    } catch (e) {
      console.error('Parse error:', e.message);
      console.error('Raw:', body.substring(0, 500));
      process.exit(1);
    }
  });
});

req.on('error', (e) => {
  console.error('Request error:', e.message);
  process.exit(1);
});

req.write(payload);
req.end();

References

• references/usage-guide.md — Beginner-friendly usage guide with FAQ
• references/tavily-setup.md — Tavily API setup and configuration
• references/sources.md — Curated information source list by domain