Databricks deploys frontier AI models to all 14,000 employees on launch day
“Providing our employees access to frontier AI capabilities is a top priority at Databricks”
internal-tooling
8 tracked signals on internal-tooling.
OpenAI reports 100% company Codex adoption, with 95% of non-engineering roles daily driving it
“Uh so 100% of the company is on codeex. um codecs has like become the daily driver for all engineering and I think like 95% of other roles are daily driving codecs.”
Snowflake's internal GTM AI agent hit 1M+ questions answered at 40K/week across 6,000 sales reps.
“It's not a single human on this planet that can stay on top of that much data.”
AI makes building internal apps easy, but deploying and sharing them securely remains hard
“making things has become cheap, right? But releasing it, making it available, even within the company, hasn't become much easier”
Notion rebuilt its fragmented GTM stack as a unified agentic system, reframing it as a distributed systems problem.
“A year ago, I would have told you that building a GTM system was a marketing ops problem. And today, I think it's one of the most interesting distributed systems problems that I've worked on.”
WorkOS built an internal tool called Studio to let non-technical staff self-serve business and customer data questions.
“We power enterprise platform features for the likes of Cursor, Anthropic, OpenAI.”
Databricks' marketing team uses data 3x more often via Marge, an internal natural-language analytics assistant.
“What began as a small prototype serving 10 users in a single use case has since grown into a trusted self-service tool used by 85% of our marketers, handling more than 800 questions a month.”
Google details how its teams used Gemini AI to help produce the Google I/O 2026 event.