Artie, a 17-person startup, gives its sales team a Hermes Agent profile that researches each prospect, maps their current tools, and pulls deal context before a discovery call. Because it also knows the company's product docs, it can warn the rep where a prospect's existing tool tends to break before the call starts.
- First reported
- x.com · 16 Sept 2026
- Added
- 12 Oct 2026
- Source checked
- 12 Oct 2026
What they did
Artie gives its sales team a Hermes profile that prepares before discovery calls: it researches the prospect, works out their current data stack and pulls the latest context on the deal. The profile also has the company's product docs and engineering knowledge.
What happened
The co-founder gives an example: if a prospect says they move data with a particular tool, the agent can tell the rep where that tool tends to break, such as on schema changes, before the call starts.
Keep in mind
This is described by the company's own CEO, with no numbers on prep time or win rates, and anything customer-facing gets human review.
Try it with your agent
Before my call with <prospect company> on <date>, research the company and figure out which tools they likely use for <the area your product covers>, citing where you found each clue. Pull our history with them from <your CRM>. Using <your product docs>, list the common problems with their current tools that our product addresses, and give me five questions to ask on the call.
Replace the <angle brackets> with your own details.
Original source
x.comUser storySomeone who uses the agent described their own setup. Figures are theirs.
Tools for this kind of work
- RepoManage your Shopify store and build apps with Shopify AI Toolkit
- RepoRun your own open source CRM that agents can extend with Twenty
