Case study ·
GoTo: an engineer sets his own rules for using AI at work
Original title, in French: “GoTo : un ingénieur fixe ses règles d'usage de l'IA au travail”
- Publication
- Brief IA (France)
- Author
- Tom Levy
- Published on
- 4 September 2026 · read in the page structured data
Summary
Brandon Pedersen, principal engineer at GoTo since 2013, leads a team dedicated to AI enablement that maintains platforms, designs tools and trains employees. He describes a precise framework for use: systematic verification of outputs, asking for sources, following links, and a "two-second rule" that avoids automating tasks that are already very quick to do by hand. He observes that some users solve problems in 30 to 40 minutes thanks to AI, but still notes errors on complex cases. For sensitive content such as an AI governance policy, he chose to discard a generated draft. He uses tools such as Claude Code and GitHub Copilot for significant work.
Summary based on the full text of the article.
Read the article on Brief IA →Figures cited
-
40 minutes
Time sometimes needed to resolve a problem by describing the goal to an AI tool
Observation by Brandon Pedersen at GoTo, sample size not specified
« Brandon Pedersen constate que des utilisateurs parviennent parfois à débloquer un problème en 30 à 40 minutes en décrivant clairement leur objectif à un outil d’IA. »
Classification
- Country
- Worldwide scope
- Company size
- All sizes
- Industries
- Software vendors, IT services companies, telecoms
- Companies
- Claude Code (supplier), GoTo (deploys AI), GitHub Copilot (supplier)
- Keywords
- prompt engineering, automation, output verification, ai governance, employee training, software engineering
Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Brief IA and its author. Entry translated from French by Claude Sonnet 5.5.