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Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
From websites and eCommerce to search, content, analytics, and integrations, we pair practical AI with senior engineering to help your business move faster.
Start with a concrete pattern: the model, endpoint, setup sequence, operating limits, and credit cost are already mapped out.
Shoppers can find items using a reference photo instead of guessing keywords, which is a documented driver of visual-search adoption in ecommerce generally.
Line items, totals, dates and vendor details pulled into JSON without manual retyping.
Answers grounded in your actual documentation, with the source page cited alongside each response, rather than the model inventing plausible-sounding but wrong information.
Every inbound ticket gets a consistent intent, urgency and topic label without a human triaging the queue first.
Supporting capabilities for custom AI systems and the digital products around them. These complement the platform and AI use cases above.