A production localization pipeline built entirely on the OpenAI API: one English source of truth, SEO-aware translation prompts, cross-model verification with
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Iurii Uses: #LLM
1 project · 2 reviews
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We wanted to add an AI feature that turns messy user notes into structured records, but our first attempt returned unpredictable JSON that broke the app half the time. Iurii rebuilt it using structured outputs against the OpenAI API with proper validation, so the data is always shaped the way our database expects. He also added a fallback path for when the model is unsure instead of letting it guess. It's been running in production for a month with no manual cleanup.
Bram de Vries 🇳🇱
Product Lead
Service: ai integration
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We process thousands of supplier invoices a month and the team was keying them in by hand. Iurii built a pipeline that reads each document, extracts the fields we care about, and routes anything that doesn't match a known template to a human — with a confidence threshold so nothing gets posted automatically that the model wasn't sure about. He was blunt up front that we shouldn't try to automate the low-confidence cases, and that honesty is exactly why finance trusts the system. It's handled around 85% of the volume for two months now with no bad postings we've had to reverse.
Lena Brandt 🇩🇪
Head of Product
Service: ai integration
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