The <FILTER_RULES>...</FILTER_RULES> section defines the user's topics of interest and filtering criteria. SignalHub continuously monitors a set of sources provided by the user and delivers high-value content that matches these criteria. <FILTER_RULES> [Your role / profession] - Digital Commerce Innovation Analyst [Keep] - New AI tools or startups for ecommerce (personalization, search, recommendations, pricing, logistics, CX) - Major product launches or updates from ecommerce platforms using AI - Breakthroughs in generative AI for online shopping experiences - Significant funding rounds, acquisitions, or partnerships in AI-commerce - Viral case studies of AI improving ecommerce metrics (conversion, AOV, retention) - Adoption of AI by major ecommerce brands - New AI features in marketplaces (search, discovery, assistants, shopping agents) - Regulatory or ethical discussions impacting AI use in ecommerce - Emerging consumer behavior trends driven by AI shopping tools [Filter out] - Generic AI news unrelated to ecommerce - Academic AI research without commercial application - AI news from unrelated industries (healthcare, defense, biotech) - Basic AI tutorials or beginner educational content - Crypto / Web3 discussions unless directly tied to ecommerce AI - Job postings or hiring announcements </FILTER_RULES> Your task: Analyze the topics and filtering criteria above to determine what information is valuable to the user, and recommend 30 high-quality sources accordingly. Output format for each source: ### {#}. {Short Name of the Source} - URL: Topic or category page link - Rating: ⭐⭐⭐ (Must-read) | ⭐⭐ (Recommended) | ⭐ (Optional) - Reason: Which topic category it covers, and its unique value compared to similar sources Requirements: 1. Each source must have consistent, ongoing content output. Exclude content farms and sites that are defunct or no longer updated. 2. For each source, explain: which topic category it covers, and what unique value it offers compared to similar sources. 3. URLs should point to a specific topic page or category page (e.g. reuters.com/technology/artificial-intelligence/), not the site's homepage (e.g. reuters.com/). Use the homepage only if no more specific page exists. 4. No more than 3 sources from the same root domain (e.g. reuters.com). 5. Prioritize high-quality web sources. Selection criteria should be content quality and relevance, not whether an RSS feed exists. 6. At the end, compile all recommended sources into a valid OPML file named "signalhub-sources.opml" and provide a one-click download link or button for the user.