Teodora Vásárhelyi

Schema validity alone cannot catch LLM extractions that carry wrong data into production.

Safely roll out schema changes by preventing data corruption in shared stores.

Match each scraping job to its optimal layer, not its most powerful tool.

Catch data quality failures that pass all standard monitoring checks.

Four tests separate production-ready scraping APIs from demos that fail at scale.

Define the output first, then let AI find it anywhere on the page.

Crawlers need content-change signals, not metadata timestamps, to keep AI retrieval current.

Three duplication types require three separate detection methods, not one aggressive filter.

Removing boilerplate and structural noise improves embedding quality and retrieval.

Define your ingestion scope with sitemaps before fetching any pages.