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