FEATURED CASE STUDY
From Emotion to Embeddings: Architecting Semantic Retrieval for Editorial Discovery

What: I designed and deployed a full-stack semantic retrieval system for San Antonio Review that translates emotionally complex queries into structured embeddings, retrieves relevant poems from a vector database, and generates thoughtful reading recommendations.

Why: SAR has a large inventory of poetry and traditional keyword search failed in a metaphor-heavy domain. Readers seek emotionally nuanced discovery; editors need structured curation tools.

Impact:

  • Implemented embedding-based retrieval over a controlled emotional vocabulary
  • Enabled emotionally-aligned recommendations rather than keyword matches
  • Reduced editorial curation time
  • Increased reader engagement and session depth

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FEATURED CASE STUDY
Designing for Trust: Building agentic workflows in publishing

What: I designed and built a layered system containing a custom submission and approval workflow and two agents that handle the production work of image creation and social media – things that would otherwise create bottlenecks in the process.

Why: San Antonio Review runs on a lean staff with steady publication pressure. The answer wasn’t to automate as much as possible, it was to map the trust relationships that make the journal worth reading, and build only where automation couldn’t touch them.

Impact:

  • Reduced time from submission to publication by 30%
  • Editors stay focused on what they do best, not distracted by asset creation
  • Improved relationship and community-building with contributors through a more transparent publication process
  • Maintained editorial judgment where it mattered and automated where it didn’t

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ABOUT MISTY CRIPPS

misty@vaquitadesign.com