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Krista Letz Shares Workflow for Using Grok Bot in Enterprise Sales

Grok Bot for GTM

Krista Letz, who works on go-to-market at SpaceXAI, shares an article on how she uses Grok Bot for enterprise GTM, covering integrations, a 24/7 bot computer, memory, and a team of specialist agents like a chief of staff and prospecting bot.

Original post · 6 min read
It's been really fun leveraging @bot for GTM! Have spent a few weeks iterating on some of my workflows, so I wanted to share how I use Grok Bot at SpaceXAI.
X ArticleGrok Bot for GTM
This is how I use Grok Bot for Enterprise GTM at SpaceXAI.
When we were initially dogfooding this product internally, Grok Bot rapidly gained adoption throughout the company, and I created an internal Notion doc on how I use Grok Bot to share with my team. I wanted to share it externally if it's helpful for other GTM orgs setting up @bot .
Grok Bot feels different for me as it's not just a thinking partner, but I can trust it to go off and actually do things end-to-end. Every week it learns more about how I work, and gets sharper.
Tips for getting started
Make sure @bot is connected to what you leverage daily, ie: Salesforce, Gmail, Calendar, Sheets, Drive, Slack, Notion, Granola for meeting notes, Figma for slides, X, LinkedIn, your data warehouse and more.

Bot has its own computer that runs 24/7 so you can accomplish tasks while your laptop is shut.
Your bots have memory so will remember your preferences, and will learn your writing style. Ask bot to scan your gmail and slack for how you write.
One of my favorite ways to use bot is through the mobile app, and voice input so I can give bot tasks when I'm not at my computer. This makes putting together slides or pulling information from tools really convenient when I don't have access to my laptop.
Run your own team of bots

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… continue on X ↗
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More in Agents & Dev Tools

Developer Rebuilds Seven Adobe Apps in Rust Using Opus 5.5

Peter Yang highlights a developer who reimplemented seven Adobe apps, including Photoshop, Premiere and Lightroom, in Rust with Claude Opus 5.5 and open-sourced them. The developer believes they can match Adobe's features within months, against Adobe's $840 yearly all-apps plan.

Original post · 1 min read
It's insane to watch AI blow apart closed source software and games.

4 examples from the past month:

1. 7 of Adobe's biggest apps, including Photoshop, Premiere, and Lightroom, have been partially rebuilt in Rust with Opus 5.5 and open sourced. It's still early, but the developer thinks they can match Adobe's features within months. Adobe's all-apps plan costs $840/year.
Miguel Ángel Durán @midudev
Todos los productos de Adobe reimplementados desde cero, gratuitos y de código abierto

→ getartcraft.com/apps
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Vercel's Guillermo Rauch Explains Turborepo's Migration From Go to Rust

Guillermo Rauch says Vercel moved Turborepo from Go to Rust, a migration that was controversial internally due to human costs. He argues that with AI agents the calculus has changed, so what is best for humans is no longer necessarily best for business.

Original post · 1 min read
DHH is fundamentally right about Rust. For context, Vercel has been undergoing a Rust-ification (carcinization, technically 🦀) for a while.

One of the first projects we migrated was Turborepo, from Go to Rust¹. The migration completed, but the RoI was actually quite controversial internally.

While Rust was in our eyes better for low-level OS access, something crucial for a build system like Turbo, the human migration costs were very sustantive.

Go is very fast. It's beautifully designed. It's easy to iterate on. We were very conflicted about the migration, because it was *humans* writing the code, *even if we knew Rust was a better choice*.

The calculus has now changed. What's "best for humans" is no longer necessarily "best for business".

FWIW, it's also quite unlikely that Rust is the end-all-be-all toolchain. I'm quite certain there's greener pasture ahead, because Rust itself was designed before the 'supersonic tsunami' of agents hit.

¹ https​://vercel.com/blog/how-turborepo-is-porting-from-go-to-rust
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Integer Multiplication Algorithm Bound Tightened Repeatedly With Astra

A post reports that a user running ChatGPT Astra in a loop is repeatedly breaking records for integer multiplication algorithms. It quotes an update to OpenAI problem #109 that tightens the constant from 2^-182 to 2^-59, a roughly 500,000-fold improvement over the previous result.

Original post · 1 min read
This guy has 6.1 Astra running in a loop and is breaking the record for integer multiplication algorithms every few hours lmaooooo.
Doug Colkitt @0xdoug
We are publishing an update to OpenAI problem #109 Integer multiplication) with another substantial further tightening:

κ = 2⁻⁵⁹ (from OpenAI’s original κ = 2⁻¹⁸²)

Approximately 500 thousand fold improvement over our previous result and a 2¹²³ fold improvement over the original OAI result.

The latest redesigned the finite network to share intermediate computations and scratch space, then tightened the recursion and Gaussian estimates.
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Boris Cherny Says Prompting Claude Should Feel Like Talking to a Coworker

Boris Cherny explains his approach to prompting Claude, advising users to give clear goals, specify effort level and verification steps rather than relying on heavy scaffolding.

Original post · 1 min read
I am surprised that people are surprised this is how I prompt Claude.

Talk to Claude the way you would a coworker. There's no secret to prompting. There's no need to be overly scaffolded or prescriptive for most tasks -- give Claude a goal, and it will figure it out.

Back in the Sonnet 3.5 days, your prompt mattered a lot. Nowadays, it's much more important to communicate to the model:

1. What you want it to do
2. How much effort you want it to spend
3. How it should verify that it did the right thing
Boris Cherny @bcherny
Prompt
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Eric Raymond Highlights Open-Source Rust Clone of Photoshop Built via LLM

Eric S. Raymond shares the photocraft GitHub project, a clean-room open-source reimplementation of Photoshop that he says was likely generated by decompiling the app, converting it to a spec and prompting an LLM for Rust. He argues this threatens closed-source software.

Original post · 1 min read
This is the doom I predicted a few days ago, coming for Photoshop. A clean-room open-source reimplementation.

No prizes for guessing that they decompiled Photoshop to source code, processed that to some kind of non-code specification language, then fed the spec to an LLM with an instruction to generate Rust.

Adobe just got nuked. And closed source is dead, dead, dead.

github.com/storytold/photocraft
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Nat Eliason Details Fourteen Ways His Bot Setup Automates Work

Nat Eliason lists fourteen functions of his bot setup, including a chief-of-staff agent that drafts emails, specialist agents per work lane, and cloud coding agents that open pull requests from Linear issues. He notes GrokBot as a substantial improvement over his previous OpenClaw setup.

Original post · 2 min read
Things my @bot setup does that still blow my mind:

1. A Chief of Staff who opens the day pulling open loops from email & tasks and suggesting things it can knock out before 7am.

2. After every meeting, decisions get folded into Notion, Linear, and Todoist — not left rotting in Granola

3. Every email starts as a draft. The CoS bot scans my email every ~2hr and drafts replies to nearly everything — including checking my cal for availability and finding requested attachments / links

4. A specialist for each lane: curriculum, engineering, coaching, hiring, content, ops, and one for every single piece of software

5. Routines that keep running while I’m offline (e.g. monitoring Sentry errors in our apps and proactively fixing things)

6. Group rooms where 2–4 bots share one project thread instead of me copy-pasting context

7. Cloud coding agents that pick up Linear issues and open PRs after running the list of open work by me EoD — then squash-merge to main when it’s done

8. Meeting prep briefs pulled from Granola + Notion before I walk in

9. A growing shareable knowledge base in Notion + a GitHub repo that we update daily based on what happens at school

10. Student progress look-up across Expertise, Followers, and CoFounder without inventing numbers — chat anytime to see where a student is on their business work

11. Mentor Mind that coaches me on how to hold the bar without inventing doctrine

12. Todoist as a central task list where it logs things it’s blocked on for me, or from meetings / emails — and I can paste links into chat to direct it how to solve them

13. Engineering work is automatically tracked in Linear so my and the product teams’ bots don’t collide with each other

14. Presentations spun up in Gamma / Claude Design without me opening a slide tool

15. Plaud / live capture → notes the bots can actually act on

Probably more but these were the immediate ones we thought of.
Nat Eliason @nateliason
GrokBot feels like absolute magic at this point, a meaningful leg up on my previous OpenClaw etc. setups.

And with how easy it is to setup, there's really no excuse now.
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