Our Methodology
How we collect data, calculate impact scores, and create executive reports for IT leaders who need actionable AI intelligence.
Data Collection
We aggregate news from 30+ trusted sources across the AI ecosystem:
- Tech Publications: TechCrunch, The Verge, Ars Technica, Wired, MIT Technology Review
- AI Research: OpenAI Blog, Google AI Blog, DeepMind, Anthropic
- Developer Sources: GitHub Trending, Hacker News, Dev.to
- Enterprise & Cloud: AWS Blog, Google Cloud Blog, Azure Blog
- Security: The Hacker News, Krebs on Security, NIST
- Policy & Governance: White House AI, EU AI Act updates, IEEE
Our scraper runs daily at 6 AM UTC, collecting articles from the past 24-48 hours. This ensures fresh news without overwhelming any single source. We filter out duplicates, promotional content, and non-substantive announcements automatically.
Impact Scoring (1-10)
Each story receives an IT Impact Score from 1-10 based on these criteria:
Immediate action required. Security vulnerabilities, major outages, breaking regulatory changes, or paradigm-shifting releases.
Significant developments requiring attention within 1-2 weeks. Major product launches, important research breakthroughs, policy updates.
Worth tracking for strategic planning. Industry trends, competitive moves, emerging tools and frameworks.
Good to know but no immediate action needed. Research papers, opinion pieces, minor updates.
Scoring is performed by GPT-4o-mini with a specialized prompt that considers: urgency, breadth of impact, relevance to enterprise IT, and actionability. The AI is calibrated with examples to ensure consistency.
Scoring Rubric & Examples
To ensure consistent, transparent scoring, our AI uses calibrated examples. Here's exactly how we score different types of news:
| Example Headline | Score | Rationale |
|---|---|---|
| "Critical RCE vulnerability in OpenAI API affects all users" | 10 | Immediate security action required, affects production systems |
| "OpenAI releases GPT-5 with 10x performance" | 9 | Paradigm shift, requires strategy reassessment |
| "EU AI Act enforcement begins, penalties up to 7% revenue" | 8 | Regulatory deadline with significant business impact |
| "AWS announces new AI chip, 40% cost reduction" | 7 | Significant cost/performance opportunity, evaluate this quarter |
| "LangChain releases v0.2 with breaking changes" | 6 | Affects teams using the framework, plan migration |
| "Google Cloud adds new AI region in Singapore" | 5 | Useful for APAC teams, no immediate action |
| "Research paper proposes new attention mechanism" | 4 | Interesting research, no practical application yet |
| "AI startup raises $10M Series A" | 3 | FYI only, no action needed |
| "Opinion: Why AI will change everything" | 2 | No new information, speculation only |
- • Security vulnerability or breach
- • Regulatory deadline or enforcement
- • Major vendor announcement
- • Breaking API changes
- • Cost/performance improvements >20%
- • Affects production systems
- • Consumer-only product
- • Funding announcement <$50M
- • Opinion without new facts
- • Rehashed/duplicate news
- • Single anonymous source
- • No actionable takeaway
Source Credibility Tiers
We categorize sources by credibility to help you assess information quality:
Direct from the company or government agency. Highest reliability.
Examples: OpenAI Blog, Google AI Blog, Microsoft AI, Anthropic, NIST, EU AI Office
Professional journalism with editorial standards and fact-checking.
Examples: TechCrunch, The Verge, Wired, MIT Technology Review, Reuters, Bloomberg
Respected community sources with peer review or curation.
Examples: Hacker News, GitHub Trending, ArXiv, Papers With Code
AI-Powered Analysis
We use OpenAI's GPT-4 to generate three levels of summaries:
- Quick Summary (1-2 sentences): The headline takeaway for scanning the board quickly.
- Extended Summary (2-3 paragraphs): Full context including technical details, implications, and background.
- Manager Brief (Pro): Action-oriented summary written for executives. Focuses on business impact, recommended actions, and talking points.
Executive Report
The weekly Executive Report synthesizes all stories into a cohesive briefing:
- Week Overview: High-level summary of the most important developments and themes.
- Critical Items: Stories with impact score 8+ that require immediate attention.
- Category Breakdown: Organized by topic area (Security, Cloud, Models, Governance, etc.)
- Action Items: Concrete next steps for IT leaders based on the week's news.
Quality & Transparency
We're committed to accuracy and transparency:
- Source Attribution: Every story links directly to the original source. We never paywall original content.
- No Hallucination Policy: Our AI is instructed to never invent facts, statistics, or quotes. If information is unclear, it says "reportedly" or "according to the source."
- Calibrated Scoring: The AI uses concrete examples to maintain consistent scoring across articles and prevent drift over time.
- Conservative Filtering: When in doubt, articles are marked as not relevant rather than included with uncertain analysis.
- Corrections: If we make an error, we correct it and note the correction in the story.
How We Decide What's Important
When people ask how we determine news importance, here's our answer:
- Source Credibility: We only pull from verified, authoritative sources—official AI lab blogs, major tech publications, and government agencies.
- Enterprise Relevance: Consumer-only news is automatically filtered. We focus on what affects IT operations, security, and strategy.
- Actionability: Does this require IT leadership attention? If there's no action to take, it's scored lower.
- Rigorous Scoring: Our 1-10 scale is calibrated with real examples. Most news scores 4-6. We reserve 8+ for truly significant developments.
- Human-Designed Methodology: While AI generates the scores, the methodology, prompts, and calibration are designed and reviewed by humans.
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