Skill: laurent-zhu/daily-ai-news-skill (version 0.1.0)

--- name: daily-ai-news description: "Aggregates and summarizes the latest AI news from multiple sources including AI news websites and web search. Provides concise news briefs with direct links to original articles. Activates when user asks for 'today's AI news', 'AI updates', 'latest AI developments', or mentions wanting a 'daily AI briefing'." --- # 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

path: references/news_sources.md
content: # AI News Sources Database

Comprehensive list of AI news sources organized by tier and focus area.

## Tier 1: Primary Sources (Check Daily)

These sources provide comprehensive coverage of AI news with daily updates.

### 1. VentureBeat AI
- **URL**: https://venturebeat.com/category/ai/
- **Update Frequency**: Daily
- **Focus Areas**: Industry news, product launches, AI applications
- **Best For**: Business and product news
- **Strength**: Comprehensive coverage of AI industry developments

### 2. TechCrunch AI
- **URL**: https://techcrunch.com/category/artificial-intelligence/
- **Update Frequency**: Daily
- **Focus Areas**: Startup funding, company news, product releases
- **Best For**: Startup and investment news
- **Strength**: Early coverage of funding rounds and acquisitions

### 3. The Verge AI
- **URL**: https://www.theverge.com/ai-artificial-intelligence
- **Update Frequency**: Daily
- **Focus Areas**: Consumer AI, product reviews, industry analysis
- **Best For**: Consumer-facing AI products and services
- **Strength**: In-depth product reviews and analysis

### 4. MIT Technology Review AI
- **URL**: https://www.technologyreview.com/topic/artificial-intelligence/
- **Update Frequency**: Daily
- **Focus Areas**: Deep analysis, research breakthroughs, ethical implications
- **Best For**: Thoughtful analysis and research coverage
- **Strength**: High-quality journalism and expert insights

### 5. AI News
- **URL**: https://artificialintelligence-news.com/
- **Update Frequency**: Daily
- **Focus Areas**: Comprehensive AI industry coverage
- **Best For**: Broad overview of AI news
- **Strength**: Aggregator-style coverage across all AI topics

### 6. AI Hub Today
- **URL**: https://ai.hubtoday.app/
- **Update Frequency**: Daily
- **Focus Areas**: AI news aggregation and latest updates
- **Best For**: Quick access to curated AI news
- **Strength**: Centralized hub for AI industry news

---

## Tier 2: Company Blogs (Check Weekly)

Official blogs from major AI companies. Best for official announcements and product updates.

### 1. OpenAI Blog
- **URL**: https://openai.com/blog
- **Update Frequency**: Weekly (varies)
- **Focus Areas**: GPT updates, research releases, product announcements
- **Best For**: Official OpenAI announcements
- **Key Content**: Model releases, feature updates, research papers

### 2. Google AI Blog
- **URL**: https://blog.google/technology/ai/
- **Update Frequency**: Weekly
- **Focus Areas**: Research updates, product integrations, Gemini news
- **Best For**: Google's AI initiatives
- **Key Content**: Research breakthroughs, Google product AI features

### 3. DeepMind Blog
- **URL**: https://deepmind.google/discover/blog/
- **Update Frequency**: Weekly
- **Focus Areas**: Research breakthroughs, scientific discoveries
- **Best For**: Cutting-edge AI research
- **Key Content**: AlphaFold, RL advances, scientific applications

### 4. Anthropic News
- **URL**: https://www.anthropic.com/news
- **Update Frequency**: Weekly
- **Focus Areas**: Claude updates, safety research, constitutional AI
- **Best For**: Anthropic product and research updates
- **Key Content**: Claude features, safety research, company news

### 5. Microsoft AI Blog
- **URL**: https://blogs.microsoft.com/ai/
- **Update Frequency**: Weekly
- **Focus Areas**: Azure AI, Copilot updates, enterprise AI
- **Best For**: Microsoft's AI products and integrations
- **Key Content**: Copilot features, Azure AI services, partnerships

### 6. Meta AI Blog
- **URL**: https://ai.meta.com/blog/
- **Update Frequency**: Weekly
- **Focus Areas**: LLaMA, open source, research releases
- **Best For**: Meta's open source AI initiatives
- **Key Content**: LLaMA releases, research papers, AI infrastructure

---

## Tier 3: Research Sources (Check Weekly)

Academic and research-focused sources for the latest AI research papers and breakthroughs.

### 1. arXiv.org
- **URL**: https://arxiv.org/list/cs.AI/recent
- **Update Frequency**: Daily
- **Focus Areas**: Preprint research papers
- **Best For**: Latest research before publication
- **Key Categories**:
  - cs.AI: Artificial Intelligence
  - cs.LG: Machine Learning
  - cs.CL: Computation and Language (NLP)
  - cs.CV: Computer Vision

### 2. Hugging Face
- **URL**: https://huggingface.co/blog
- **Update Frequency**: Weekly
- **Focus Areas**: Model releases, open source, NLP, computer vision
- **Best For**: Open source models and tools
- **Key Content**: New model releases, framework updates, tutorials

### 3. Papers with Code
- **URL**: https://paperswithcode.com/
- **Update Frequency**: Daily
- **Focus Areas**: Research papers with implementations
- **Best For**: Finding practical implementations of research
- **Key Content**: Trending papers, benchmarks, state-of-the-art results

### 4. Google DeepMind Publications
- **URL**: https://deepmind.google/research/publications/
- **Update Frequency**: Weekly
- **Focus Areas**: Peer-reviewed research papers
- **Best For**: Official DeepMind research publications
- **Key Content**: Published papers, conference presentations

---

## Tier 4: Niche Sources (Check as Needed)

Specialized publications focusing on specific aspects of AI.

### 1. AI Ethics Newsletter
- **URL**: https://aiethicsnewsletter.com/
- **Update Frequency**: Weekly
- **Focus Areas**: AI ethics, policy, societal impact
- **Best For**: Ethics and policy discussions
- **Strength**: Curated content on responsible AI

### 2. Synced Review
- **URL**: https://syncedreview.com/
- **Update Frequency**: Daily
- **Focus Areas**: China AI news, technical deep dives
- **Best For**: Chinese AI industry coverage
- **Strength**: Unique perspective on China's AI ecosystem

### 3. KDnuggets
- **URL**: https://www.kdnuggets.com/
- **Update Frequency**: Daily
- **Focus Areas**: Data science, machine learning tutorials, industry news
- **Best For**: Technical tutorials and educational content
- **Strength**: Practical guides and learning resources

### 4. VentureBeat AI Beat
- **URL**: https://venturebeat.com/category/ai/
- **Update Frequency**: Daily
- **Focus Areas**: In-depth AI industry reporting
- **Best For**: Detailed business analysis
- **Strength**: Exclusive interviews and industry insights

### 5. Towards Data Science
- **URL**: https://towardsdatascience.com/
- **Update Frequency**: Daily
- **Focus Areas**: Data science tutorials, ML techniques
- **Best For**: Learning and technical deep dives
- **Strength**: Community-contributed technical content

---

## Usage Guidelines

### Daily News Gathering
For daily briefings, focus on:
1. Choose 3-5 sources from **Tier 1**
2. Add 1-2 sources from **Tier 2** (check for major announcements)
3. Use web search to discover breaking news

### Weekly Research Roundup
For research-focused updates:
1. Check **Tier 3** sources (arXiv, Hugging Face)
2. Review recent papers from major company blogs (**Tier 2**)
3. Focus on breakthrough papers and trending research

### Specialized Coverage
For specific topics:
- **Ethics/Policy**: Tier 4 sources (AI Ethics Newsletter)
- **China AI**: Synced Review
- **Technical Tutorials**: KDnuggets, Towards Data Science
- **Open Source**: Hugging Face, Meta AI Blog

### Source Selection Strategy
**For comprehensive coverage**:
- Mix 3 Tier 1 sources (different strengths)
- Add 2 Tier 2 sources (major companies)
- Include 1 Tier 3 source (research)

**For quick updates**:
- Focus on AI News (aggregator) and AI Hub Today (https://ai.hubtoday.app/)
- Add TechCrunch AI (fast-breaking news)
- Check Twitter/X for real-time updates

**For deep analysis**:
- MIT Technology Review
- VentureBeat in-depth articles
- Company blog posts (full announcements)


path: references/output_templates.md
content: # Output Format Templates

Pre-defined templates for different output formats and levels of detail.

## Standard Format (Default)

The most commonly used format with categorized summaries and links.

```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]

**Summary**: [One-sentence overview]

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

**Impact**: [Why this matters]

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

---

## 🔬 Research & Papers

### [Headline 3]

**Summary**: [One-sentence overview]

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

**Impact**: [Why this matters]

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

---

## 💰 Industry & Business

### [Headline 4]

**Summary**: [One-sentence overview]

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

**Impact**: [Why this matters]

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

---

## 🛠️ Tools & Applications

### [Headline 5]

**Summary**: [One-sentence overview]

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

**Impact**: [Why this matters]

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

---

## 🌍 Policy & Ethics

### [Headline 6]

**Summary**: [One-sentence overview]

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

**Impact**: [Why this matters]

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

---

## 🎯 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
```

---

## Brief Format (Headlines Only)

Quick scan format for users who want just the headlines.

```markdown
# 📰 AI News Headlines

**Date**: [Current Date]
**Coverage**: Last 24 hours

## 🔥 Major Announcements

• [Headline 1] ([Publication])
🔗 [URL]

• [Headline 2] ([Publication])
🔗 [URL]

• [Headline 3] ([Publication])
🔗 [URL]

---

## 🔬 Research & Papers

• [Headline 4] ([Publication])
🔗 [URL]

• [Headline 5] ([Publication])
🔗 [URL]

---

## 💰 Industry & Business

• [Headline 6] ([Publication])
🔗 [URL]

• [Headline 7] ([Publication])
🔗 [URL]

---

## 🛠️ Tools & Applications

• [Headline 8] ([Publication])
🔗 [URL]

---

## 🌍 Policy & Ethics

• [Headline 9] ([Publication])
🔗 [URL]

---

**Quick Summary**: [2-3 sentence overview of the day's most important news]

**Generated on**: [Timestamp]
```

---

## Deep Format (With Analysis)

Comprehensive format with in-depth analysis and implications.

```markdown
# 📊 Deep Dive: AI News Analysis

**Date**: [Current Date]
**Coverage**: Last 24 hours
**Analysis Depth**: In-depth

---

## 🔥 Major Announcements

### [Headline 1]

**Summary**: [One-sentence overview]

**Key Details**:
- [Important detail 1]
- [Important detail 2]
- [Important detail 3]
- [Additional detail 4]
- [Additional detail 5]

**Impact Analysis**:
[2-3 sentences analyzing why this matters and its implications]

**Expert Reactions**:
[Summary of expert opinions or Twitter reactions if available]

**Context**:
[Background information to help understand the significance]

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

---

### [Headline 2]

**Summary**: [One-sentence overview]

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

**Impact Analysis**:
[2-3 sentences analyzing implications]

**Context**:
[Background information]

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

---

## 🔬 Research & Papers

### [Paper Title]

**Summary**: [What the research is about]

**Key Findings**:
- [Finding 1]
- [Finding 2]
- [Finding 3]

**Technical Details**:
[Brief explanation of methodology, dataset, benchmarks]

**Significance**:
[Why this research matters - potential applications, advancement over previous work]

📅 **Source**: [Publication/Venue] • [Publication Date]
🔗 **Link**: [URL to paper]
📄 **Paper**: [arXiv/PDF link if available]

---

## 💰 Industry & Business

### [Headline]

**Summary**: [One-sentence overview]

**Deal Details**:
- [Amount, companies involved, terms]
- [Key players]
- [Timeline]

**Market Implications**:
[What this means for the industry, market positioning]

**Background**:
[Context about companies involved]

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

---

## 🛠️ Tools & Applications

### [Tool/Product Name]

**Summary**: [What it does]

**Key Features**:
- [Feature 1]
- [Feature 2]
- [Feature 3]

**Technical Details**:
[Underlying tech, model, framework if relevant]

**Use Cases**:
[Who is this for? What problems does it solve?]

**Availability**:
[Pricing, access, open source status]

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

---

## 🌍 Policy & Ethics

### [Headline]

**Summary**: [What's happening]

**Key Points**:
- [Point 1]
- [Point 2]
- [Point 3]

**Stakeholder Perspectives**:
[How different groups view this - companies, researchers, public, regulators]

**Implications**:
[What this means for AI development and deployment]

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

---

## 🎯 Analysis & Insights

### Biggest News of the Day

**[Headline 1]**: [3-4 sentences of analysis on why this is the most significant news]

### Emerging Trends

1. **[Trend 1]**: [Description with examples from today's news]
2. **[Trend 2]**: [Description with examples]
3. **[Trend 3]**: [Description with examples]

### What to Watch

- **Short-term** (next week): [What to keep an eye on]
- **Medium-term** (next month): [Developments to watch]
- **Long-term** (next quarter): [Major trends and expectations]

### Expert Consensus

[Summary of how experts are reacting to today's news - bullish, cautious, divided, etc.]

---

## 📊 Statistics

- **Total stories analyzed**: [X]
- **Most active companies**: [List top 3]
- **Most discussed topics**: [List top 3]
- **Research vs. Industry**: [X]% research, [Y]% industry
- **Sentiment**: [Positive/Neutral/Mixed based on news tone]

---

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

Want to dive deeper into any story? Just ask!
```

---

## Chronological Format

Stories organized by time instead of category.

```markdown
# 📰 AI News Timeline

**Date**: [Current Date]
**Coverage**: Last 24 hours
**Format**: Chronological

---

## Morning Updates

### 🔥 [Headline 1]
**[Time if available]** • [Publication]

**Summary**: [One-sentence overview]

**Key Points**:
- [Detail 1]
- [Detail 2]

🔗 **Link**: [URL]

---

### 🔬 [Headline 2]
**[Time if available]** • [Publication]

**Summary**: [One-sentence overview]

**Key Points**:
- [Detail 1]
- [Detail 2]

🔗 **Link**: [URL]

---

## Afternoon Developments

### 💰 [Headline 3]
**[Time if available]** • [Publication]

**Summary**: [One-sentence overview]

**Key Points**:
- [Detail 1]
- [Detail 2]

🔗 **Link**: [URL]

---

## Evening Updates

### 🛠️ [Headline 4]
**[Time if available]** • [Publication]

**Summary**: [One-sentence overview]

**Key Points**:
- [Detail 1]
- [Detail 2]

🔗 **Link**: [URL]

---

## 🎯 Key Takeaways

1. [Most significant story - 1 sentence]
2. [Second most important - 1 sentence]
3. [Trend or pattern - 1 sentence]

---

**Generated on**: [Timestamp]
```

---

## By-Company Format

Stories organized by company instead of category.

```markdown
# 📰 AI News by Company

**Date**: [Current Date]
**Coverage**: Last 24 hours
**Format**: By Company

---

## OpenAI

### 🔥 [Headline 1]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

### 🔬 [Headline 2]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## Google/DeepMind

### [Headline 3]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## Anthropic

### [Headline 4]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## Meta

### [Headline 5]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## Microsoft

### [Headline 6]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## Other Companies

### 💰 [Headline 7 - Company Name]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

### 🛠️ [Headline 8 - Company Name]
**Summary**: [One-sentence overview]
🔗 **Link**: [URL]

---

## 🎯 Key Takeaways

1. [Most significant company news - 1 sentence]
2. [Company to watch - 1 sentence]
3. [Industry trend - 1 sentence]

---

**Generated on**: [Timestamp]
```

---

## Research-Only Format

Focus exclusively on research papers and academic breakthroughs.

```markdown
# 🔬 AI Research Weekly

**Date**: [Current Date]
**Coverage**: Last 7 days
**Focus**: Research Papers Only

---

## Featured Papers

### 🏆 [Paper Title 1]
**Authors**: [Author names]
**Institution**: [Institution(s)]
**Venue**: [Conference/Journal or arXiv]

**Abstract Summary**: [2-3 sentences summarizing the paper]

**Key Contributions**:
- [Contribution 1]
- [Contribution 2]
- [Contribution 3]

**Technical Details**:
[Brief explanation of approach, methodology, datasets]

**Results**:
[Key benchmarks, improvements over state-of-the-art]

**Significance**:
[Why this matters - potential applications, advancement]

📅 **Posted**: [Date]
🔗 **Paper**: [arXiv/PDF link]
💻 **Code**: [GitHub link if available]

---

### 🥈 [Paper Title 2]
**Authors**: [Author names]
**Institution**: [Institution(s)]

**Abstract Summary**: [2-3 sentences]

**Key Contributions**:
- [Contribution 1]
- [Contribution 2]

**Technical Details**:
[Brief explanation]

**Results**:
[Key benchmarks]

📅 **Posted**: [Date]
🔗 **Paper**: [arXiv/PDF link]
💻 **Code**: [GitHub link if available]

---

## Trending Topics

### [Topic 1]
**Papers**: [X] papers this week
**Notable**: [Paper title or trend description]

### [Topic 2]
**Papers**: [Y] papers this week
**Notable**: [Paper title or trend description]

---

## 🎯 Key Insights

1. **Most significant breakthrough**: [Description]
2. **Emerging research direction**: [Description]
3. **Technique to watch**: [Description]

---

## 📊 Statistics

- **Total papers covered**: [X]
- **Top institutions**: [List top 3]
- **Most active areas**: [List top 3]
- **Open source code available**: [X]%

---

**Generated on**: [Timestamp]
```

---

## Template Selection Guide

| Format | Use When | Length | Detail Level |
|--------|----------|--------|--------------|
| **Standard** | Default choice, daily briefing | Medium | Summaries + key points |
| **Brief** | Quick scan, time-constrained | Short | Headlines only |
| **Deep** | Research, deep understanding | Long | Analysis + implications |
| **Chronological** | Tracking developments over time | Medium | Time-organized |
| **By-Company** | Tracking specific companies | Medium | Company-organized |
| **Research-Only** | Academic focus, researchers | Medium | Papers-focused |

---

## Customization Guidelines

### Adapting Templates

1. **Mix and match**: Combine elements from different templates
2. **Adjust depth**: Add/remove sections based on user preference
3. **Flexible categorization**: Use different category names if needed
4. **Localized content**: Translate category names for different languages

### Template Elements

These elements can be added to any template:

**Section: Quick Stats**
```markdown
## 📊 Quick Stats
- **Total stories**: [X]
- **Most active companies**: [List]
- **Trending topics**: [List]
- **Sentiment**: [Positive/Neutral/Mixed]
```

**Section: Reading Time**
```markdown
**Estimated reading time**: [X] minutes
```

**Section: Related Stories**
```markdown
**Related**: [Link to related story]
```

**Section: Tags/Keywords**
```markdown
**Tags**: [#tag1] [#tag2] [#tag3]
```


path: references/search_queries.md
content: # Search Query Templates

Pre-defined search query templates for discovering AI news across different categories and timeframes.

## Date Format

Use dynamic date insertion based on current date:
- **Today**: `[current_date]` (e.g., 2025-12-24)
- **Yesterday**: `[current_date - 1 day]` (e.g., 2025-12-23)
- **This week**: `[current_date - 7 days]` (e.g., 2025-12-17)
- **This month**: `[current_date - 30 days]` (e.g., 2025-11-24)

---

## General AI News

### Daily Updates (Last 24 hours)
```
"AI news today" OR "artificial intelligence breakthrough" after:[yesterday]
```

### This Week's Developments
```
"AI news this week" OR "artificial intelligence announcement" after:[week_ago]
```

### Latest AI Developments
```
"latest AI developments" OR "AI advancement" after:[yesterday]
```

### AI Industry News
```
"AI industry news" OR "artificial intelligence market" after:[yesterday]
```

---

## Category-Specific Queries

### Research & Papers

#### Recent AI Research Papers
```
"AI research paper" OR "machine learning breakthrough" after:[yesterday]
```

#### arXiv AI Papers
```
arXiv "cs.AI" OR "cs.LG" OR "artificial intelligence" paper after:[yesterday]
```

#### Academic AI Breakthroughs
```
"AI breakthrough" OR "machine learning research" after:[yesterday]
```

#### Conference Papers
```
"NeurIPS 2025" OR "ICML 2025" OR "ACL 2025" AI paper
```

---

### Industry & Business

#### AI Funding & Investment
```
"AI startup funding" OR "artificial intelligence investment" after:[week_ago]
```

#### AI Company News
```
"AI company news" OR "OpenAI news" OR "Google AI" after:[yesterday]
```

#### AI Partnerships & Acquisitions
```
"AI acquisition" OR "AI partnership" OR "artificial intelligence deal" after:[week_ago]
```

#### AI Market Trends
```
"AI market trends" OR "artificial intelligence industry analysis" after:[week_ago]
```

---

### Products & Tools

#### New AI Tools
```
"AI application launch" OR "new AI tool" after:[yesterday]
```

#### AI Product Releases
```
"AI product release" OR "artificial intelligence software launch" after:[yesterday]
```

#### Open Source AI
```
"open source AI" OR "AI model release" OR "LLM release" after:[yesterday]
```

#### AI Framework Updates
```
"PyTorch update" OR "TensorFlow update" OR "AI framework" after:[week_ago]
```

---

### Company-Specific Queries

#### OpenAI
```
"OpenAI announcement" OR "GPT update" OR "ChatGPT news" after:[yesterday]
```

#### Google
```
"Google AI announcement" OR "Gemini update" OR "Bard news" after:[yesterday]
```

#### Anthropic
```
"Anthropic news" OR "Claude update" OR "constitutional AI" after:[yesterday]
```

#### Meta
```
"Meta AI announcement" OR "LLaMA update" OR "Facebook AI" after:[yesterday]
```

#### Microsoft
```
"Microsoft AI" OR "Copilot update" OR "Azure AI news" after:[yesterday]
```

#### DeepMind
```
"DeepMind research" OR "AlphaFold update" OR "Google DeepMind" after:[week_ago]
```

---

## Advanced Search Techniques

### Boolean Operators

#### AND (Both terms must be present)
```
"AI" AND "breakthrough" AND "2025"
```

#### OR (At least one term must be present)
```
"artificial intelligence" OR "machine learning" OR "deep learning"
```

#### NOT (Exclude terms)
```
"AI" AND "news" NOT "cryptocurrency" NOT "blockchain"
```

#### Exact Phrases
```
"large language model" OR "LLM"
```

### Date Filters

#### Last 24 Hours
```
after:[yesterday's date]
```

#### Last 3 Days
```
after:[3 days ago]
```

#### Last Week
```
after:[7 days ago]
```

#### Last Month
```
after:[30 days ago]
```

### Source Filters

#### News Sites Only
```
site:venturebeat.com AI OR site:techcrunch.com AI
```

#### Academic Sources
```
site:arxiv.org "artificial intelligence"
```

#### Company Blogs
```
site:openai.com/blog OR site:blog.google/technology/ai
```

### Topic Combinations

#### AI + Healthcare
```
"AI" AND "healthcare" OR "medical AI" after:[week_ago]
```

#### AI + Finance
```
"AI" AND "finance" OR "fintech AI" after:[week_ago]
```

#### AI + Ethics
```
"AI ethics" OR "artificial intelligence safety" after:[week_ago]
```

#### AI + Regulation
```
"AI regulation" OR "AI policy" after:[week_ago]
```

---

## Query Optimization Tips

### 1. Start Broad, Then Refine
Begin with general queries, then narrow down based on results:
1. `"AI news today"` → broad overview
2. `"AI product launch"` → specific focus
3. `"OpenAI product launch"` → very specific

### 2. Use Date Filters Consistently
Always include date filters to ensure fresh content:
- Daily briefings: `after:[yesterday]`
- Weekly summaries: `after:[week_ago]`

### 3. Combine Categories for Comprehensive Results
Mix queries from different categories:
- 1-2 general queries
- 1-2 research queries
- 1-2 industry queries
- 1-2 product queries

### 4. Avoid Redundant Terms
Don't combine similar terms:
- ❌ `"AI" AND "artificial intelligence"` (redundant)
- ✅ `"AI" OR "machine learning" OR "deep learning"` (complementary)

### 5. Use Quotes for Exact Phrases
Use quotes when searching for specific phrases:
- ✅ `"large language model"`
- ❌ `large language model` (may return broader results)

### 6. Exclude Irrelevant Topics
Use NOT to filter out unrelated content:
```
"AI news" NOT "crypto" NOT "web3" NOT "blockchain"
```

---

## Example Query Combinations

### Daily Briefing (Comprehensive)
```
Query 1: "AI news today" OR "artificial intelligence breakthrough" after:[yesterday]
Query 2: "AI research paper" OR "machine learning breakthrough" after:[yesterday]
Query 3: "AI startup funding" OR "AI company news" after:[week_ago]
Query 4: "AI product release" OR "new AI tool" after:[yesterday]
```

### Research-Focused
```
Query 1: "AI research paper" OR "machine learning breakthrough" after:[yesterday]
Query 2: arXiv "cs.AI" OR "cs.LG" paper after:[yesterday]
Query 3: "AI breakthrough" OR "research advancement" after:[yesterday]
```

### Industry-Focused
```
Query 1: "AI startup funding" OR "artificial intelligence investment" after:[week_ago]
Query 2: "AI company news" OR "OpenAI news" OR "Google AI" after:[yesterday]
Query 3: "AI acquisition" OR "AI partnership" after:[week_ago]
```

### Product-Focused
```
Query 1: "AI product release" OR "new AI tool" after:[yesterday]
Query 2: "open source AI" OR "AI model release" after:[yesterday]
Query 3: "GPT update" OR "Claude update" OR "Gemini update" after:[yesterday]
```

---

## Query Performance Tips

1. **Limit Results**: Most search tools return 10-15 results by default, which is usually sufficient
2. **Prioritize Recent**: Always use date filters to ensure fresh content
3. **Diversify Sources**: Use queries that return results from different types of sources (news sites, blogs, academic)
4. **Adjust Scope**: If too few results, expand date range or use broader terms
5. **Refine Relevance**: If too many results, add more specific terms or reduce date range
6. **Validate Results**: Always check publication dates to ensure content is truly recent


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