# Hello (: I live at the intersection of [[Digital Public Relations (PR)]] and [[Neural Information Retrieval (IR)]]. I'm currently VP of Technology at [Razor Sharp PR](https://razorsharppr.com), a boutique firm in Austin, TX. Most importantly, I'm a husband and father of two. ## Work ### [AnomalyLab](https://anomalylab.ai/) %%[[AnomalyLab Messaging Framework]]%% **Most agencies** produce event-driven content *after* competitors siphon initial high-volume traffic. **AnomalyLab orchestrates *integrated* owned and earned content workflows at lightening speed.** Here's how it works: 1. **Strategy:** We start by understanding your client inside-and-out, by analyzing everything they've published on-domain. Then we use intelligence-grade event detection on 100M+ global articles daily, waiting for opportunities aligned with their competencies. 2. **Timing:** We focus on hard news events (leading indicators) before they become questions or keywords (lagging indicators). New legislation. M&A activity. Financial markets. Product announcements. Not social chatter. 3. **Brief:** client-specific commentary recommendations, relevant to your positioning, automatically delivered to your team via Slack—giving you time to coordinate and execute your next blog or pitch—so you can capture AI-referred traffic as news cycles peak. **Built for agencies** managing diverse content programs in fast-moving industries, so they can consistently turn breaking events into organic traffic and third-party validation, enabling greater scale without hiring. **Roadmap (agentic content workflows):** - Anomaly timing + behavioral patterns auto-update graph of journalists - Context-aware email composer ### [The No-Nonsense Guide to Getting Cited by AI](https://www.razorsharppr.com/s/getting-cited-by-ai-guide-cc.pdf) **Culminating research into how AI assistants decide what to cite** when answering questions. Started as an internal analysis of PR and marketing metrics (e.g., SOM, AEO, LLMO, GEO) in February 2025, and by October 2025 it had evolved into a formal investigation of [[Neural Information Retrieval (IR)]] applied to content strategy. We [announced](https://www.morningstar.com/news/accesswire/1098370msn/razor-sharp-pr-unveils-industrys-first-framework-for-winning-ai-citations) it's official release on November 7, 2025. - Most PR / marketing people don't have the time to understand retrieval mechanics - Most ML engineers don't view their research through the lens of content strategy - The combination of these perspectives is what makes this a valuable exploration ### [[Home Lab]] **My home server runs AnomalyLab, local LLMs, self-hosted services** (Jellyfin, Plex, these notes) in Docker containers (Nginx as reverse-proxy host). Started as an idea for a consumer NAS build in November 2024, but by December it had evolved into a SMB applications server with 72 TB usable storage (due to double parity). Custom $3,000 TrueNAS SCALE system with a RTX 3070 and enterprise-grade features (ECC memory, RAIDZ2, 6x enterprise HDDs). Dozens of hours researching optimal builds led to a relatively balanced system; Similar specs from TrueNAS retail for $4,850 (without a GPU). ### [[Neural Information Retrieval (IR)]] Research **After ChatGPT 3.5 went mainstream in late-2022**, I was inspired to learn the basics of [[Semantic Search]] to improve my PR workflow: I clustered client content to understand what they can speak authoritatively about and improve journalist list building (can't we have lists that update themselves?). Today, understanding how IR systems actually work—data ingestion pipelines, query understanding, embedding representations, retrieval and reranking methods—reveals that these AI assistants are sophisticated retrieval-augmented systems, not magic black boxes. They blend parametric knowledge (what's encoded in training data) with real-time external retrieval, using principles that have guided search engines for decades. In my digital public relations work, this research helps me build content strategies that survive platform shifts. This research comes to life in AnomalyLab. ## What's Published Here These are (mostly raw) working notes documenting what I'm learning and building. If you're working on similar problems, you might find something useful. [[Obsidian Publish Page Components]] ## Contact **Personal:** - [email protected] - https://x.com/ethanpy3 **PR:** - [email protected] - https://razorsharppr.com - https://www.linkedin.com/in/ethan-young-ba495a148 **Dev:** - [email protected] - https://github.com/ethanpy3