Descriptions:
In this episode of the “How I AI” podcast, host Claire interviews Nicole Ruiz, a product leader and parent who built a Claude-powered shopping assistant to help her family consistently buy higher-quality, longer-lasting goods. The core problem Nicole was solving: the stress of purchasing under time pressure, the difficulty of discovering small artisan brands, the prevalence of Amazon knockoffs, and the unreliability of paid search results.
Nicole’s solution centers on a Claude project with detailed instructions encoding her household’s values — natural materials, craftsmanship, repairability, and support for small makers. The project stores context about trusted brands, sizing preferences, and past purchases, and uses Claude’s web search capability to generate curated recommendations from vendors that match those criteria. She describes iterating the system over time by feeding it feedback about what she actually purchased, noting that the assistant surfaces increasingly relevant vendors as the project learns her preferences.
The conversation expands into broader themes around AI and small business discovery: Nicole and Claire discuss how AI-driven recommendation could level the playing field for artisans and craftspeople whose products are excellent but whose websites are outdated or hard to navigate. Nicole also addresses the question of full purchasing automation — she’s working toward eventually delegating recurring household orders to Claude entirely, drawing on approaches she’s seen other practitioners use with Instacart and Amazon, though she notes her household routines aren’t yet consistent enough to take that final step.
📺 Source: How I AI · Published June 08, 2026
🏷️ Format: Workflow Case Study
