Grok Bot seemingly came out of nowhere. And it sort of did… the first line of code to internal prototype took only a month.

Krista Letz published an article on X detailing how she uses Grok Bot for Enterprise GTM at SpaceXAI. It quickly blew up with almost 3 million people viewing it.

This edition breaks down where Grok Bot came from, why it’s spreading through the GTM org, and bot set up examples that you can use.

Grok Bot for GTM Teams

The inception

Roman Ugarte, employee #15 at Cursor and Grok Bot’s product lead, expressed that the build started as a blank page: a small team pulled out of the main org, into a separate part of the office, with private Slack channels and one mandate: build a knowledge-work product that brings agents to the rest of the company.

If you’re curious about how to better understand it, it can be helpful to look at the differences between key models.

Why GTM use cases are quickly adopting it

Some of the functionality listed above makes it particularly impactful for knowledge workers.

SpaceXAI’s own go-to-market team became one of the most “bot-pilled” groups in the company because Grok Bot could operate tools that never had reliable programmatic access in the first place. If the bot can see the screen and click the pixels, it doesn’t need Salesforce to expose an endpoint for the specific workflow you’re running.

The way the team approached early users also helped create momentum. They manually onboarded 200-300 early users, sitting on calls to actively learn from people onboarding. Some of those names include people that are actively embedded in the knowledge worker space, which helped create early momentum.

GTM Bot examples

Krista Letz, who runs enterprise GTM at SpaceXAI, shared her use cases, which are outlined below.

Chief of staff

My Chief of Staff owns meeting prep, inbox and post-call drafts, orchestrates the rest of the team. You can tell your chief of staff to spin up other agents, and organize your bots in sections. I like to pin my Chief of Staff as I use this bot most frequently.

Daily meeting prep

Tell your bot to create a routine to prep you for meetings for the day and pull from your tools (Salesforce, Gmail, Slack, Granola, Gong, or online research if it’s a new meeting), I prefer a short, skimmable, output that I can read on my phone as I’m commuting to work. You can also have your bot create customized decks ahead of your calls for the day (it calls my slides bot).

Routines

Scan inbox and auto draft replies:

Automate follow-up drafts from Granola or Gong notes:

Prospecting bot

Builds pipeline gen plans, pulls intent data, does deep research (will watch webinars, listen to podcasts, find blog posts, scan LinkedIn/X for relevant posts). Customizes messaging based on company priorities and personal hooks, drafts in gmail, and puts together messaging in your voice. I like to run this overnight to have it ready in the morning.

Customer expert

One agent per strategic account (works for top prospects too). It watches the relevant Slack channels, digests calls, emails, and Slack threads, and runs a weekly media rundown on the account (relevant exec posts on X / LinkedIn, watches webinars, finds podcasts and blog posts). It also flags feature requests from calls, updates me on support tickets, and finds relevant new features for the customer.

Weekly media rundown:

Data analysis agent

I connect this to the relevant tools to track usage data across my book.

Product expert

I call this one “Cursor 10x engineer”. An agent connected to the codebase for questions deeper than my product knowledge. When a customer asks something technical live on a call, I ask this agent and get a customer-facing answer back, and don’t need to ask an engineer or dig through Slack, Notion, docs, etc. If you don’t have repo access, an internal knowledge tool like Glean works as the source instead.

1:1 agent

Preps my weekly manager sync, I Granola our meetings so I can hand off tasks my manager and I discussed from our 1:1s and set up reminders.

Forecasting bot

Pulls from Granola, Gong, Slack, and email, and auto updates Salesforce opportunity notes. I give it the format I want the updates in, and this helps me streamline forecast calls and ensure my notes are constantly up to date.

Slides

My slides bot owns customer decks in Figma using our brand system and a master deck it maintains. It makes copies to customize per customer and even translates decks into other languages. Give the bot your design guidelines up front.

My favorite skill is to auto-update slides while I’m on a customer call, based on the Granola transcript.

Stop the Granola recording 5 or 10 minutes before the call ends and run it live, so you wrap up the call with a slide built from what the customer just told you during Discovery, or use it as a follow-up or opener for the next call.

Sales Coach

Have your bot watch your external calls on Gong, and give you feedback on what you could improve or what went well.

Helpful tips/skills

Onboard Grok Bot like a new teammate. The first time we do a task together, I ask the agent to record, take over the computer and demonstrate, then have it turn the recording into a skill. ie: I showed my bot how I like to research stakeholders on X.
Feed it your writing. Have it scan your sent mail and build a style profile before it drafts anything. Give your bot a few examples of outreach you’re proud of.
Give your bot feedback and make rules for output you don’t like. I create skills (ie: I have a anti-slop skill) and rules that I continuously edit over time, and every time I steer my agent I have it add to my skill.
Your bot can parallelize work, tell your bot to spin up multiple cloud agents for parallel tasks, and create a skill for this.
Ask your Chief of Staff to take a look at all your bots/tasks and if there’s anything you can further automate, parallelize, or better organize. You can also ask for it to clean up unnecessary routines.
You can put bots in a group chat to work on a task, and your bots can call your other specialized agents. (ie: to create slides my Chief of Staff bot often calls my slides bot).

Tag @GTMnow so we can see your takeaways and help amplify them.

Clay raised $115M Series D at a $7.1B valuation, more than double its price from a year ago. Wellington led, with Sequoia, a16z Perennial, Meritech, DST, and CapitalG in the round. The GTM platform now has 17,000+ customers, including Anthropic, Google, OpenAI, and Stripe, and is building agents that find customers, watch intent, and run outreach. Clay also launched a $1M scholarship fund to train GTM engineers.

Navan acquired BoomPop, the AI-powered event planning platform used by Accenture, Amazon, Google, and Salesforce. BoomPop has helped 250,000+ attendees cut event costs by ~30% on average. Now travel, expense, and events live in one platform – one partner from a 10-person offsite to a 500-person global SKO.

Nvidia confirmed it will acquire Hugging Face for $12.93 billion. Last week’s “in talks” is now a signed deal. Hugging Face hosts 3 million models used by 18 million developers; Jensen Huang said it will stay an open, multi-cloud platform and Nvidia compute will not be required to build or deploy on it.

Cognition raised $2B at a $48B valuation, four months after pricing at $26B. Devin’s annualized run-rate revenue grew from $492M to $900M since May. a16z, Accel, Founders Fund, General Catalyst, and Avenir led – a bet that AI coding is not winner-take-all after Cursor sold to SpaceX.

GTM: AI-Native Sales – How to Build, Hire and Win | Chris McDonough

Listen through the links in the page above or by searching wherever you get your podcasts “The GTMnow Podcast.”

Dock (YC S26) launched as a multiplayer agent workspace, where specialized agents work as a team instead of isolated chat boxes. Founded by Mike Molinet and Govind Kavaturi (who previously scaled Branch to $100M+ ARR, then built Thena), Dock lets agents pursue goals, hand off work, and share persistent context so a small human team can steer rather than babysit a dozen chats. Product is at trydock.ai.