# Hello (: I live at the intersection of [[Digital Public Relations (PR)]] and [[Neural Information Retrieval (IR)]]... basically, I build AI to help businesses manage their online reputation. 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 three. ## Work ### [AnomalyLab](https://anomalylab.ai/) %%[[AnomalyLab Messaging Framework]]%% - Capture AI-Referred Traffic **Other AI assistants** leave content pros with surface-level summaries and unfinished work. **AnomalyLab** delivers pitches. It knows the clients' landscape, does the research, and verifies the emails. ||AnomalyLab|Generic AI| |---|---|---| |Contacts|**Verified emails**, confidence-scored|Guessed patterns, "try checking LinkedIn"| |Data|Unique to your **client portfolio**|Starts from zero every time| |Monitoring|**Always on**, flags shifts before you ask|Only knows what you think to ask about| **Currently working on:** - PR skills for AI agent and chat QoL - Gmail sequencer - Journalist graph (not beats. behavioral patterns) ### [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. In December we printed it. - 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 Working notes across [[Digital Public Relations (PR)]], [[Neural Information Retrieval (IR)]], [[Applied AI]], [[Software Engineering]], [[Business]], and [[Home Lab]]. If you're working on similar problems, you might find something useful. [[Obsidian Publish Page Components]] ## Contact Want to talk Digital Public Relations (PR) or Neural Information Retrieval (IR)? → https://cal.com/ethan-young **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