All case studies
AI summaries in documentation search
- Role
- Program owner
- When
- 2025
- With
- Engineering, applied science
- Status
- Launched
On timecommitted launch date
01The problem
Developers searching AWS documentation often had to open several pages to piece together one answer.
Leadership had committed to an ease-of-use improvement for the year. Generative AI was the obvious tool, but a wrong answer on a customer-facing site is costly.
02The bet
- Put an AI-generated summary at the top of search results.
- I wrote the decision doc that set scope and trade-offs, and paired engineering with applied science on summary quality.
- Roll out in phases and widen exposure only when quality held up.
03How I measured it
- Each phase had a quality check before we widened it.
- The leadership commitment had a fixed date, and we tracked against it from the start.
04The result
- Delivered on the committed date.
- Later AI summarization features on the documentation site were built on this work.