Making $$$ with Grok Bot
I sit down with Billy Howell for an inside look at a real business that runs on Grok Bot agent teams. Billy tests hundreds of tools for The Rundown, and he uses Grok Bot to run his local newsletter, The Arlington Bagel, which goes to 6,000 readers every Thursday. He walks me through his chief of staff bot, his research and sales agents, and the routines that move work forward while he sleeps. We cover the token math, the four-week plan he follows, and the business models that fit this tool best: newsletters, directories, and Shopify stores. You leave with a setup you can copy for one project this month. Timestamps 00:00 – Intro 02:22 – Grok Bot Overview 03:12 – What makes GrokBot special 06:09 – Pick one project 08:09 – Creating your initial agent team 11:19 – First week sprint with Grok Bot 13:06 – Automated Routines within Grok Bot 15:51 – Agent Org Structure 17:35 – Best Practices for building Agents 19:45 – Newsletter playbook 21:12 – Plugins 22:24 – Newsletter playbook pt 2 25:43 – Sales agent 29:06 – Iterating and Improving Agents 33:34 – Grok Bot business ideas 36:45 – Site stack builder 38:36 – Directories and landing pages 41:42 – One project for a month 42:50 – Closing Thoughts Key Points • Keep one project per Grok Bot account, so context stays clean and tokens stay available. • Start with a chief of staff bot, and let it audit your business and name the first three agents. • Follow the four weeks: build the team, execute, hire and fire, then automate. • Ask each agent for a five-line brief: what shipped, what is stuck, what needs you. • Move repeatable steps into scripts or make com, and keep agent tokens for high value work. • Newsletters and directories give the easiest entry, and the two models feed each other. Numbered Section Summaries 1. One Project, One Agent Team Billy runs each Grokbot account on a single mission. Several businesses in one account cause context bloat, slow work, and heavy token use. He pays $200 a month for a second account that holds his Shopify experiment alone. 2. Design as a Feature Grokbot gives you a limited set of agents, and Billy counts roughly 76 to 88 shape and color combinations. One thread per bot works like a direct message to a teammate, so he finds each agent fast and saves switching costs. 3. The Chief of Staff Audit Billy picks a chief of staff first and connects it to Notion, Slack, and Gmail. On day one it takes stock of the business and names the top three agents that drive revenue. His audit produces a research agent, a sales agent, and a Beehive platform expert. 4. Build, Execute, Expand, Automate Week one builds the team. Week two stays on execution alone. Week three fills the real gaps, such as an inbox agent. Week four adds routines, so the team moves the ball while Billy sleeps. 5. Routines and Five-Line Briefs Each agent sends a short daily or weekly report to the chief of staff: what shipped, what is stuck, and what needs the human. Five lines keep tokens and context tight, and the chief of staff routes the rest of the work. 6. Teach Agents to Review Like You Billy runs adversarial QA loops with a panel of subagents across three rounds, and output moves from about 50 percent done to about 90 percent done. He then turns a feedback thread into a skill, so another agent reviews work in his own style. 7. The Newsletter Machine A research bot checks his source list twice a week and fills Notion cards with restaurant news and events. A make.com step formats each blurb the same way every week, and Beehive sends the issue on Thursday. His sales agent watches the Gmail inbox, prices the ad slots, builds a sales sheet, and found a local bagel shop sponsor this week. 8. Directories, Shopify, and the Site Builder Stack Billy runs a stack of Cloudflare, Porkbun, Astro, and GitHub, and he shipped a live booking page from the beach in two or three hours. For directories, a research agent writes a brand page as markdown each day and a coding agent publishes it. He calls a newsletter plus a directory the lowest barrier entry point for a Grokbot business. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND BILLY ON SOCIAL: X/Twitter: https://x.com/billyjhowell Instagram: https://www.instagram.com/billyjhowell Tiktok: https://www.tiktok.com/@saasfatigue Youtube: https://www.youtube.com/@billyjhowell
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节目时间轴
Introduction to the episode and why Grockbot is going viral
- Grockbot is going viral because it allows non-technical people to spin up agent teams and run a business end to end.
- The episode will show how to use Grockbot to run businesses that do $2,000 to $25,000 a month, with a focus on small ideas.
- Billy Howell will demonstrate how he runs his local newsletter business using Grockbot agent teams.
Billy's background and why he thinks Grockbot is the best place to run agent teams
- Billy tests hundreds of tools for the Rundown, a newsletter with millions of readers, and he believes Grockbot is the best for running agent teams.
- He claims most content about Grockbot is wrong and doesn't understand why the tool is powerful.
- Billy commits that by the end of the episode, listeners will have a better understanding than anyone on the internet about running a business with Grockbot.
Overview of Grockbot's interface and the concept of constraints
- Grockbot's interface uses color and shape to differentiate agents, which helps with organization and reduces switching costs.
- The tool is built around constraints, forcing users to be mission-oriented with one thread per bot, like talking to a teammate.
- Billy compares Grockbot to a non-technical version of Jack Dorsey's Buzz product, making agent teams accessible to non-technical users.
关键概念
- Grockbot— The central tool discussed, an AI agent team platform.
- agent team— The core concept of using multiple AI agents to run a business.
- newsletter— The primary business example used to demonstrate Grockbot's capabilities.
精选金句
I think in the first week I used it pretty heavily. Uh, but was able to get through week one with like 10% of my usage left.
🤯— Reveals that even heavy use of Grockbot can stay within token limits if focused on one project, challenging the assumption that it's easy to burn through credits.
I've noticed that the Grockbot usage plan is pretty generous.
💡— Contradicts the common complaint that AI tools are expensive and limited, suggesting Grockbot offers good value.
可执行的洞察
💼Business Strategy
Focus on one project at a time to avoid token waste and context bloat.
Pick a single business idea and commit to it for at least a month before starting another.
Start with a chief of staff agent to coordinate and audit your team.
Set up a chief of staff agent and have it audit your existing business docs to suggest initial team members.
⚙️Operational Efficiency
Use routines to automate recurring tasks and move the ball forward while you sleep.
Ask your chief of staff to propose three routines that can run automatically this week.
Leverage skills to codify feedback and improve agent output over time.
After giving feedback on a task, turn that feedback into a skill for future use.
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