Contents4 sections
News ingestion suffers from two main issues: first, information overload, where critical content gets buried; second, noisy notifications, leading users to treat them as background noise.
WorkBuddy transforms multiple information sources into a filterable, explainable, and trackable notification system. For example: GitHub hot projects daily alerts, AIHOT industry daily news, papers and tech trend tracking, official account and blog monitoring, trending news, and fact-checking integrations.
Help users miss fewer things worth reading every day.
The Common Ingestion Workflow
Whether tracking GitHub repositories, AI news, research papers, policies, or trending topics, stable news ingestion splits into the same pipeline: gather, deduplicate, filter, summarize, and deliver.
| Phase | Problem Solved | Typical Deliverables |
|---|---|---|
| Ingestion | Pull entries from RSS, search engines, official accounts, and social boards. | Candidate list, original links, timing, source metadata. |
| Deduplication | Consolidate identical events reported across multiple platforms. | Merged events list, retaining original and primary sources. |
| Filtering | Filter out low-value entries to prevent notification noise. | Importance and relevance scores, risk index mappings. |
| Summarization | Convert long-form articles, papers, or READMEs into summaries. | Three-sentence summaries, impact reviews, targeted audiences. |
| Verification | Exclude rumours, marketing fluff, and incorrect claims. | Evidentiary tables, trust ratings, unresolved issues. |
| Notification | Dispatch alerts to target audiences in formatted cards. | Lark cards, WeChat group notifications, daily email bulletins. |
Available Ingestion Skills
These can be divided into six categories: general news, AI niche, developer trends, research papers, content monitoring, and fact-checking.
| Skill / Tool | Suitable Target | Usage in this Chapter |
|---|---|---|
| Tencent News | Global headlines, morning/evening digests, real-time alerts. | Management morning briefs, industry news tracking. |
| AIHOT | AI models, products, frameworks, research paper digests. | AI daily news bulletins, engineering tech radars. |
| GitHub Trending | Today/weekly/monthly trending repositories with language filters. | Daily open-source recommendations for developers. |
| GitHub AI Trends | Trend analytics reports for GitHub AI repositories. | Weekly technology trends briefing for engineering teams. |
| ArXiv Tracker | Searches and summarizes the latest academic papers. | Research and algorithm teams tracking research directions. |
| News Digest | RSS fetching, text summary compiling, and text-to-speech. | Audio briefings of daily industry articles. |
| Blog Monitor | Tracks updates on specified blogs and RSS feeds. | Competitor blogs, official changelogs, product announcements. |
| wechat-article-search | Scrapes official account article titles, dates, and links. | Monitoring industry influencers, competitors, and topics. |
| Midu Trends | Scrapes hot searches from 30+ mainstream platforms. | Public relations alerts, trending content triggers. |
| Twitter Analyzer | Scrapes and analyzes discussions on Twitter. | Tracking global discussions on AI, open-source, and VC deals. |
| Search Engines / Tavily | Multi-source searching, deep research, citation verification. | Secondary validation of critical news, papers, and projects. |
| Fact-checker | Fact-checking, rumour detection, official corrections. | Appending credibility reports before dispatching alerts. |
GitHub Hot Repositories Daily Alerts
Example: Scraping GitHub Trending and AI repositories at 9 AM daily. Filters by programming language, topics, stars growth, recent updates, and licensing. Delivers top 5-10 repositories with "worth trying" assessments.
Return trending GitHub repositories at 7 AM daily, and output their summaries.Generating AI Daily News via AIHOT
AI developments move extremely fast. AIHOT serves as an active information feed. It extracts curated news covering models, products, and papers, optimized for Agent integration.
Example: Pull AI updates from AIHOT at fixed times daily. Group by models, products, industry, papers, open-source, and business tracks. Score each entry for target audience impact, credibility, and relevance. Deliver 5-8 key bulletins and archive the rest. Perform secondary searches on high-impact items to pull primary source links.
Install AIHOT Skill:
Install this skill: https://aihot.virxact.com/aihot-skill/Check what OpenAI has recently released.Summarize today's hot news, focusing on AI large models.| Daily Section | Written Target | Target Audience |
|---|---|---|
| Top 3 Events | Crucial changes everyone needs to know. | General team / Management. |
| Models & Products | New models, features, APIs, and pricing updates. | Products, R&D, Operations. |
| Open Source | Testable tools, frameworks, and Agent platforms. | Engineering team. |
| Research Papers | New methods that might shift tech stacks. | Algorithms, Tech leaders. |
| Opportunities & Risks | Competitor releases, alternatives, policy updates. | Business managers. |
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WorkBuddy In Action