add par

Author: devalog

_posts/2026-02-08-smes.md

@@ -5,7 +5,9 @@ date: 2026-02-08
 tags: ai tech
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-I documented internal [Search](https://developers.google.com/search/docs/fundamentals/how-search-works) infrastructure at Google for about five years, from 2018 to early 2023. (From 2023 until my resignation in December 2024, I worked on content strategy and operations for [AI Overviews](https://blog.google/products-and-platforms/products/search/new-ways-to-connect-to-the-web-with-ai-overviews/). Similar skillset, but very different output.) For a few of those years, my primary focus was Local Search, the system behind what happens when you search for "coffee shops near me" and get a map with pins and business listings. It's one of those features that seems simple from the outside but is genuinely complex underneath, pulling from both Google Maps and Google Search infrastructure.
+I documented internal [Search](https://developers.google.com/search/docs/fundamentals/how-search-works) infrastructure at Google for about five years, from 2018 to early 2023. (From 2023 until my resignation in December 2024, I worked on content strategy and operations for [AI Overviews](https://blog.google/products-and-platforms/products/search/new-ways-to-connect-to-the-web-with-ai-overviews/). Similar skillset, but very different output.) 
+
+For a few of those years, my primary focus was Local Search, the system behind what happens when you search for "coffee shops near me" and get a map with pins and business listings. It's one of those features that seems simple from the outside but is genuinely complex underneath, pulling from both Google Maps and Google Search infrastructure.
 
 Documenting Local Search was hard. A single page could require three or four SME meetings—the classic technical writer ritual where you interview an engineer, take notes, draft something, and iterate until it's accurate. Committing to a page, learning the system, writing it up, and getting approval took a minimum of one week and often way longer.