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
- Product launches (new AI tools, services, features)
- Model releases (GPT updates, Claude features, Gemini capabilities)
- Major company announcements (OpenAI, Google, Anthropic, Microsoft, Meta)

### 🔬 Research & Papers
- Academic breakthroughs
- New research papers from top conferences
- Novel techniques or methodologies
- Benchmark achievements

### 💰 Industry & Business
- Funding rounds and investments
- Mergers and acquisitions
- Partnerships and collaborations
- Market trends and analysis

### 🛠️ Tools & Applications
- New AI tools and frameworks
- Practical AI applications
- Open source releases
- Developer resources

### 🌍 Policy & Ethics
- AI regulations and policies
- Safety and ethics discussions
- Social impact studies
- Government initiatives

## Phase 4: Output Formatting

Use the following template for consistent output:

```markdown
# 📰 Daily AI News Briefing

**Date**: [Current Date, e.g., December 24, 2025]
**Sources**: [X] articles from [Y] sources
**Coverage**: Last 24 hours

---

## 🔥 Major Announcements

### [Headline 1]

**Summary**: [One-sentence overview of the news]

**Key Points**:
- [Important detail 1]
- [Important detail 2]
- [Important detail 3]

**Impact**: [Why this matters - 1 sentence]

📅 **Source**: [Publication Name] • [Publication Date]
🔗 **Link**: [URL to original article]

---

### [Headline 2]

[Same format as above]

---

## 🔬 Research & Papers

### [Headline 3]

[Same format as above]

---

## 💰 Industry & Business

### [Headline 4]

[Same format as above]

---

## 🛠️ Tools & Applications

### [Headline 5]

[Same format as above]

---

## 🌍 Policy & Ethics

### [Headline 6]

[Same format as above]

---

## 🎯 Key Takeaways

1. [The biggest news of the day - 1 sentence]
2. [Second most important development - 1 sentence]
3. [An emerging trend worth watching - 1 sentence]

---

**Generated on**: [Timestamp]
**Next update**: Check back tomorrow for the latest AI news
```

## Customization Options

After providing the initial briefing, offer customization:

### 1. Focus Areas
"Would you like me to focus on specific topics?"
- Research papers only
- Product launches and tools
- Industry news and funding
- Specific companies (OpenAI/Google/Anthropic)
- Technical tutorials and guides

### 2. Depth Level
"How detailed should I go?"
- **Brief**: Headlines only (2-3 bullet points per story)
- **Standard**: Summaries + key points (default)
- **Deep**: Include analysis and implications

### 3. Time Range
"What timeframe?"
- Last 24 hours (default)
- Last 3 days
- Last week
- Custom range

### 4. Format Preference
"How would you like this organized?"
- By category (default)
- Chronological
- By company
- By significance

## Follow-up Interactions

### User: "Tell me more about [story X]"
**Action**: Use `mcp__web_reader__webReader` to fetch the full article, provide detailed summary + analysis

### User: "What are experts saying about [topic Y]?"
**Action**: Search for expert opinions, Twitter reactions, analysis pieces

### User: "Find similar stories to [story Z]"
**Action**: Search related topics, provide comparative summary

### User: "Only show research papers"
**Action**: Filter and reorganize output, exclude industry news

## Quality Standards

### Validation Checklist
- All links are valid and accessible
- No duplicate stories across categories
- All items have timestamps (preferably today)
- Summaries are accurate (not hallucinated)
- Links lead to original sources, not aggregators
- Mix of sources (not all from one publication)
- Balance between hype and substance

### Error Handling
- If `webReader` fails for a URL → Skip and try next source
- If search returns no results → Expand date range or try different query
- If too many results → Increase threshold for significance
- If content is paywalled → Use available excerpt and note limitation

## Examples

### Example 1: Basic Request

**User**: "给我今天的AI资讯"

**AI Response**:
[Executes 4-phase workflow and presents formatted briefing with 5-10 stories across categories]

---

### Example 2: Time-specific Request

**User**: "What's new in AI this week?"

**AI Response**:
[Adjusts date filters to last 7 days, presents weekly summary]

---

### Example 3: Category-specific Request

**User**: "Any updates on AI research?"

**AI Response**:
[Focuses on Research & Papers category, includes recent papers and breakthroughs]

---

### Example 4: Follow-up Deep Dive

**User**: "Tell me more about the GPT-5 announcement"

**AI Response**:
[Fetches full article, provides detailed summary, offers to find expert reactions]

## Additional Resources

For comprehensive lists of news sources, search queries, and output templates, refer to:
- `references/news_sources.md` - Complete database of AI news sources
- `references/search_queries.md` - Search query templates by category
- `references/output_templates.md` - Alternative output format templates