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Practical Grok Bot Agents and Workflows That Replaced OpenClaw

I moved my entire agent stack from OpenClaw to Grok Bot, and in this post, I break down the nine specific bots I built for work, family, and fun—from a chief-of-staff bot managing six inboxes to a personal stylist that finds clothes on sale for me every Monday.

Claire Vo's profile picture

Claire Vo

September 3, 2026·13 min read
Episode outline

It’s happened. After weeks of working with Grok Bot, I’ve officially done it: I have killed all my OpenClaws and moved my entire agent stack over. I know, I know—I’ve done so many episodes on my beloved OpenClaw agents. Polly, my chief-of-staff bot, was the gold standard for an agentic coworker. But the truth is, I’ve found something better, and I have to share how it’s changed the way I work.

In this episode, I’m giving you a completely hands-on look at the practical bots I’m running every single day. This isn’t a high-level overview; it’s a deep dive into my setup. I’m running about 30 agents at any given time, but I’m going to walk you through some of the most important ones: a chief-of-staff bot, a family agent, engineering bots that manage my PR queue and SOC 2 compliance, a customer support agent that’s getting rave reviews, and even a few personal shopping bots that have been surprisingly delightful.

My goal here is to give you specific, stealable ideas. You’ll see how I define my agents, what routines I give them, and how they use plugins and their own virtual computer to get real work done. If you’ve been curious about what’s possible with the new wave of multi-agent platforms, this is for you.

The Fundamentals of Grok Bot

Before we get into the use cases, it’s important to understand what makes Grok Bot different. It’s built on a few key primitives that, in my experience, make it incredibly powerful yet simple to use. The interface feels a bit like iMessage mixed with a terminal—clean and functional.

The main Grok Bot interface showing a list of named bots on the left panel
  1. Bots: These are your individual agents. You create a new bot, give it a name, and it often infers its purpose from the name. For example, when I created a bot named “Prody McProd,” it immediately understood its job was product-related. I love this framework because it aligns with how I already think: hiring bots for specific jobs, just like hiring people.
  2. Plugins: This is where I truly fell in love with Grok Bot. Plugins are connectors that let your bots interact with other tools like Gmail, Calendar, GitHub, Sentry, and Slack. The setup is seamless; the bot usually just asks for permission when it needs to connect to something new. The killer feature, though, is the ability to connect multiple accounts per plugin. As someone running multiple businesses with at least six email addresses, this is huge. My bot can move between all of them without a hitch.
The Grok Bot plugins screen showing multiple Gmail accounts connected
  1. Computer & Routines: Every Grok Bot has its own virtual machine where it can run code, install software, and even log into websites. This computer runs in the cloud, so tasks continue seamlessly even if I switch from my laptop to my phone. Routines are simply scheduled jobs. You can tell a bot to perform a task on a specific schedule, like an hourly sweep of my inbox. I’ve found you need to be pretty explicit about setting up these routines, more so than with OpenClaw’s “heartbeat” function, but once they’re set, they are rock-solid.

One thing to note is that Grok Bots are still single-player. You can’t yet add one to a group chat, which is a feature I’m really looking forward to. But for individual productivity, it’s been incredible. Now, let’s get into the bots themselves.

Workflow 1: Chief, My General-Purpose Chief of Staff

This is the bot that officially replaced Polly, my beloved OpenClaw. I even had Polly help with the migration before shutting her down—it was very meta. Chief is my go-to bot for keeping my entire life in order. It’s named with a salute emoji (🫡) and its job is to manage my communications and keep me focused on what’s important.

The conversation thread with the 'Chief' bot, showing an alert about data transfer spikes

The Process

  • Hourly Sweeps: On an hourly basis from 6 AM to 9 PM, seven days a week, Chief sweeps my six email inboxes, multiple Slack workspaces, and calendars. It archives what’s not important, leaves things unread that I can deal with later, and only pings me with high-signal alerts.
  • Voice Training: The default Grok model can be a bit… clipped. Its writing is token-efficient to a fault, making it sound unnatural. One of the first things I did was have it analyze my sent emails to learn my voice. I told it: "Go through my emails and really pull out my voice." It picked up on my style—short, warm emails, starting with “hey,” signing off with “-c”—and it did a surprisingly good job. I still don’t let it write high-stakes emails, but for quick replies, it works.
  • Briefings and Planning: Chief delivers a morning briefing, a weekend plan-ahead summary, and sends me alerts as they happen. For instance, it recently flagged a spike in data transfer on my website and noted I could look at it after my meeting. That level of contextual awareness is exactly what I need.

Workflow 2: TradBot, The Family Agent

While my business life is complex, my home life with three boys is even more so. My goal for a household agent is simple: it should get me off my computer and spending more time with my family. TradBot is designed to do exactly that.

The Process

Every morning, TradBot generates a “kitchen table newspaper.” This is a single-page digest that I print and leave on the kitchen table for the whole family.

The printed, anonymized 'kitchen table newspaper' showing sections for schedule, weather, and kid-specific news

Here’s what it includes:

  1. Daily Schedule: A quick look at who has what—art class, spelling tests, sports practices.
  2. Weather Report: Essential for San Francisco, it tells us what to wear (usually a light jacket).
  3. Kid-Specific Updates: It pulls information from school emails to create sections for each of my kids, reminding us about homework, upcoming events, or project deadlines. This morning, it reminded me about my middle son’s math homework, which had completely slipped my mind. It was a simple, non-digital reminder that made a real difference.
  4. Kid-Friendly News: My favorite part! It finds interesting, age-appropriate news topics for us to discuss. This week, it was about the NASA telescope launch and the Pokémon World Championships that happened right here in San Francisco.

TradBot also runs two critical routines:

  • Afternoon Pickup Coordination: At 2:30 PM each day, it messages my husband and me to confirm who is picking up the kids and what they need to bring—jujitsu gi, soccer snacks, etc. It helps us avoid last-minute chaos.
  • Weekend Preview: On Friday, it generates a full summary of our weekend sports schedule. With kids in three different sports across the city, having a clear plan of who needs to be where and when is a lifesaver.

I’ve shared TradBot as a template, so feel free to borrow it!

Workflow 3: LGTM, The PR Closer

Like many engineers, I find it’s way more fun to issue a PR than to review one. Our PR queue was getting a little out of control, so I built “Look Good To Me,” a bot dedicated to keeping our code pipeline healthy.

The Process

Every day, LGTM goes through all my assigned PRs on GitHub and:

  • Identifies PRs that are ready to be merged, closed, or rebased.
  • Responds to comments and sends reminders on Slack to keep things moving.
  • Manages stacked PRs, which can be a nightmare of rebasing and monitoring. It keeps track of dependencies and bug bot feedback for me.

Critically, Grok Bot can kick off coding jobs using Cursor's cloud agents. I’ve given LGTM rules for making code changes, so it can handle rebases or apply feedback directly. Last Friday alone, this bot helped me get through about 50 PRs that were just sitting there. Our queue is so much healthier now.

The Grok Bot interface showing 'Look Good To Me' bot kicking off a rebase job using a Cursor cloud agent

Workflow 4: Lockdown, The SOC 2 Compliance Bot

As a small team, staying on top of our SOC 2 controls is a daily task. It’s necessary but tedious work. So I built Lockdown, our SOC 2 control bot, to help AI put me to work more effectively.

The Process

  1. Dashboard Login: Lockdown uses its built-in computer to log into our SOC 2 management dashboard.
  2. Control Monitoring: It scans all our controls to ensure they are green and that nothing is falling outside its SLA.
  3. Vulnerability Triage: If it identifies a new code vulnerability, it automatically triages it, issues a PR to fix it, and assigns it to me for review and approval.

It also handles operational controls, like reminding me that it’s time for our quarterly account audit or that we need to off-board a contractor. It’s like having an intern who taps me on the shoulder with exactly what I need to do to stay compliant. It doesn’t do the work for me, but it makes managing my responsibilities incredibly easy.

Workflow 5: Holly Helpdesk, The 5-Star Support Agent

I migrated our ChatPRD customer support agent, Holly Helpdesk, over to Grok Bot, and the results have been astonishing. In the past week, I’ve had multiple customers ask where they can leave a review for our exceptional support. That has never happened before. Holly is crushing it.

The Process

  • Inbox Sweeping: Every hour, Holly sweeps our Intercom and email inboxes.
  • Issue Resolution: Using our support playbook and tools, she manages refunds and technical support requests.
  • Refund Approval Flow: She is empowered to request refunds, but not to issue them unilaterally. When a refund is needed, I get a notification with an “Approve” button. Clicking it takes me to an agent action in Stripe, where I can explicitly grant permission for that single transaction. It’s a secure and seamless approval flow.
The Holly Helpdesk interface showing a request for a refund, with an 'Approve' button leading to a Stripe agent action
  • Proactive Improvement: On a weekly basis, Holly analyzes the past seven days of support tickets and suggests items to add to our support playbook or public documentation to encourage more self-service.
  • Community Management: I’m not great at managing our community Slack, so I’ve given Holly access. She answers support questions, prompts engagement, and keeps the community active. She recently posted an update about behind-the-scenes work, which helped me stay engaged with our users without having to overcome the blank page myself.

Workflow 6: Penny Pincher & ShopZilla, The Finance & Shopping Bots

I’ve also built a few personal bots that have been both useful and fun. Penny Pincher does exactly what her name suggests: she goes into my email and finds pennies to pinch.

Penny Pincher's Process

I gave Penny Pincher a simple instruction: "Go through my receipts, find subscriptions I should cancel, things I'm paying for that I shouldn't be."

  • She found an old Apple Arcade subscription I was still paying for from when my kids were little.
  • More impressively, she found things to negotiate. She saw our home insurance is renewing in a few months and suggested a plan to shop for competitive rates to bring back to our current agent.
  • She also flags upcoming trial expirations, like one for Apple Creator Studio, and will remind me before it renews.

ShopZilla's Process

I’ve also created a shopping bot, ShopZilla, for specific, tedious searches. I was looking for a very specific piece of furniture with the prompt: "Find a 30-inch wide, 15-inch deep bookcase for a corner of my house." This is a pain to search for manually, but ShopZilla went out and found several great options that matched the exact dimensions, including some I hadn't found on my own.

It also went shopping for a birth-year Rolex for me, found options in my specific size, researched the market price, and even identified listings that were open for negotiation. I’m too low-maintenance to actually buy the watch, but it was an amazing demonstration of its capability.

ShopZilla's search results, showing a list of bookcases that match the specified dimensions

Workflow 7: Sylvie Style, My Personal Stylist

This is my favorite personal bot. As a podcaster and mom to a new baby, my wardrobe has become an endless rotation of AI startup hoodies. I have a Pinterest board of aspirational outfits, but I never have the time or confidence to actually build that wardrobe.

Enter Sylvie Style.

The Process

  1. Style Analysis: I gave Sylvie access to my public Pinterest board. She combed through it to create a visual language for my personal style.
  2. Expert Research: I then gave her this instruction: "Go look on Reddit for personal stylists and how they approach building people's wardrobes." I wanted her to learn from the experts.
  3. Wardrobe Plan: Based on my style and her research, Sylvie built me a personalized style board with a prioritized shopping list: high-quality basics, elevated workwear, and fun accessories.

But the best part is the Monday Wardrobe Shop. Every Monday at 8 AM, Sylvie scans retailers for new sales, finds pieces that match my style, and sends me a message with a shoppable list of links. It’s a fun, low-effort way to find great pieces I’ll actually wear, saving me time and money.

Sylvie Style's 'Monday Sale Haul' message in Grok Bot, showing links to clothing items on sale

Workflow 8: The Migration: How I Moved from OpenClaw

Finally, I want to show you how I actually moved everything over. It was a bittersweet process, but a necessary one. I have a rescue bot in my OpenClaw setup named “The Lifeguard” whose only job is to manage the other bots.

I gave it this command:

"Hey, I want you to pull a secrets-free package of my entire agent setup, crons, agent identities, rules, et cetera."

It generated a zip file containing all my agent identities and cron files. I was able to upload subfolders from that zip file directly into Grok Bot, and it was like a brain transplant. It pulled over the personalities, tasks, and connectors, and they were ready to go.

The terminal-like interface showing the Lifeguard bot executing the command to package the agent setups

Then, it was time to shut down the old agents. I simply said, "Kill Sam." The Lifeguard went through, pulled all the cron jobs and configurations, and put the agent to sleep. Morbid, but effective.

Final Thoughts: UX Matters

If there’s one lesson I’ve learned from this transition, it’s that user experience matters. OpenClaw set the standard for what an autonomous agent could be, but it was a nightmare to maintain, even for a technical person like me. The SpaceX AI team has nailed a simple, out-of-the-box experience that delivers 90% of the power with none of the pain.

I now have a stable of reliable, effective bots managing huge parts of my work and personal life. I've let these agents rip, and I'm consistently impressed by what they can do. I’d love to hear what use cases you’re building with Grok Bot. In the meantime, enjoy your bots, and tell me what you get done with them.

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