Daily Ai News

# Daily AI News Briefing

> Aggregates the latest AI news from multiple sources and delivers concise summaries with direct links

## When to Use This Skill

Activate this skill when the user:
- Asks for today's AI news or latest AI developments
- Requests a daily AI briefing or updates
- Mentions wanting to know what's happening in AI
- Asks for AI industry news, trends, or breakthroughs
- Wants a summary of recent AI announcements
- Says: "给我今天的AI资讯" (Give me today's AI news)
- Says: "AI有什么新动态" (What's new in AI)

## Workflow Overview

This skill uses a 4-phase workflow to gather, filter, categorize, and present AI news:

```
Phase 1: Information Gathering
  ├─ Direct website fetching (3-5 major AI news sites)
  └─ Web search with date filters
      ↓
Phase 2: Content Filtering
  ├─ Keep: Last 24-48 hours, major announcements
  └─ Remove: Duplicates, minor updates, old content
      ↓
Phase 3: Categorization
  └─ Organize into 5 categories
      ↓
Phase 4: Output Formatting
  └─ Present with links and structure
```

## Phase 1: Information Gathering

### Step 1.1: Fetch from Primary AI News Sources

Use `mcp__web_reader__webReader` to fetch content from 3-5 major AI news websites:

**Recommended Primary Sources** (choose 3-5 per session):
- VentureBeat AI: https://venturebeat.com/category/ai/
- TechCrunch AI: https://techcrunch.com/category/artificial-intelligence/
- The Verge AI: https://www.theverge.com/ai-artificial-intelligence
- MIT Technology Review AI: https://www.technologyreview.com/topic/artificial-intelligence/
- AI News: https://artificialintelligence-news.com/
- AI Hub Today: https://ai.hubtoday.app/

**Parameters**:
- `return_format`: markdown
- `with_images_summary`: false (focus on text content)
- `timeout`: 20 seconds per source

### Step 1.2: Execute Web Search Queries

Use `WebSearch` with date-filtered queries to discover additional news:

**Query Template** (adjust dates dynamically):
```
General: "AI news today" OR "artificial intelligence breakthrough" after:[2025-12-23]
Research: "AI research paper" OR "machine learning breakthrough" after:[2025-12-23]
Industry: "AI startup funding" OR "AI company news" after:[2025-12-23]
Products: "AI application launch" OR "new AI tool" after:[2025-12-23]
```

**Best Practices**:
- Always use current date or yesterday's date in filters
- Execute 2-3 queries across different categories
- Limit to top 10-15 results per query
- Prioritize sources from last 24-48 hours

### Step 1.3: Fetch Full Articles

For the top 10-15 most relevant stories from search results:
- Extract URLs from search results
- Use `mcp__web_reader__webReader` to fetch full article content
- This ensures accurate summarization vs. just using snippets

## Phase 2: Content Filtering

### Filter Criteria

**Keep**:
- News from last 24-48 hours (preferably today)
- Major announcements (product launches, model releases, research breakthroughs)
- Industry developments (funding, partnerships, regulations, acquisitions)
- Technical advances (new models, techniques, benchmarks)
- Significant company updates (OpenAI, Google, Anthropic, etc.)

**Remove**:
- Duplicate stories (same news across multiple sources)
- Minor updates or marketing fluff
- Content older than 3 days unless highly significant
- Non-AI content or tangentially related articles

### Deduplication Strategy

When the same story appears in multiple sources:
- Keep the most comprehensive version
- Note alternative sources in the summary
- Prioritize authoritative sources (company blogs > news aggregators)

## Phase 3: Categorization

Organize news into 5 categories:

### 🔥 Major Announcements
- P