
Favorite resources from the week:
- Claude dropped Opus 4.8, and Dan Shipper shared a vibe check on coding performance, writing performance, knowledge work and what isn’t so good
- Finn Mallery looked at 10K+ cold email replies and shared the biggest patterns across subject line, opener and body
- John Hurley from Notion on how he responds when someone asks who the first 3-5 marketing hires should be (PMM, Growth, Field/Community) and how getting them right might mean you don’t need a traditional CMO
- Chris Long shared Ramp’s experiment that showed the only content format that impacted LLM visibility was Markdown
- Kyle Norton shared that Replit (the most AI-native GTM team he has seen) is still hiring more salespeople + sticking with the legacy software systems (like Salesforce)
- How Vanta’s GTM Engineers used Dust to turn every seller into an agent builder
This episode of the gtm engineer is brought to you by 📝Dust
Most AI agent tools are built for individuals. Dust is built for teams by putting AI agent building on multiplayer mode and connecting to your company’s knowledge across platforms like Slack, Google Drive, Notion, GitHub, Salesforce, and Snowflake.
Anyone can build agents that draw on that knowledge to handle tasks like researching accounts, answering customer questions, or drafting prospect emails. Dust also gives ops and IT the governance controls (permissions, SSO/SCIM, audit logs, role-based access) they actually need to confidently roll something like this out across an org.
The agent builder itself is no-code, so anyone with a Dust seat can prototype an agent in an afternoon without ever opening Terminal. With the whole company on the same platform, you get visibility into who’s building what and what’s being used the most. 📝Vanta used Dust to turn 900+ employees into agent builders and they looked at which agents were being used the most to help prioritize the 📝GTM Engineering team’s time. We wrote a deep dive onexactlyhow they did it.
If you want to check out Dust, you can use code “THEGTMENG” for your first month free
