Most AI agent demos are toy examples. In this one, I talk to Grok Bot by voice at the end of a real Monday and ask what it did for my business that day. It works as my AI chief of staff for TubeAnalytics and VisiScan.
This guide goes through that session: the jobs it ran, what it flagged, where it asked for my approval, and what got blocked. If you want an AI agent to run day-to-day operations, this is what it looks like in practice.
Prefer to watch? See the full walkthrough on YouTube. I build the whole thing on screen.
What an AI chief of staff actually does
A chief of staff keeps work moving between your other tools and agents. Mine doesn’t do every task itself. It coordinates specialist bots (a backlink outreach manager, a speaking outreach bot, an email tracker), reports their status, and brings decisions back to me. I ask questions in plain speech and it answers with specifics.
The end-of-day rundown
Scheduled jobs and a failed reminder
It started with the morning’s three scheduled jobs. The TubeAnalytics checkout reminder set for 9:27 ICT hadn’t fired, so the agent paused it, and it wouldn’t retry until I turned it back on. 193 reminders were still unsent. I asked it to send the first 30, and before choosing them it checked that day’s production log. That check before sending is exactly what you want from an agent with access to customers.
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Speaking and conference outreach
Next it gave me the status of my speaking pipeline. Six speaking pitches had already gone out that morning, conference notes were still being drafted, and it suggested the best-fit upcoming events. When I mentioned that an event organiser had replied, it pulled up the email. She wanted a one-page outline: format and length, key takeaways, technical requirements, a short bio, links to my products and channel, and my previous speaking experience.
I asked it to write the outline and send it straight away. It pushed back and suggested waiting until morning so I could think about the pitch instead of rushing something that would set the tone for the conversation. It queued the draft for first thing the next day. I liked that it pushed back on a rushed decision.
LinkedIn: where it hit a limit
The agent had LinkedIn connection notes ready to copy and paste, but it was clear that neither bot could send connection requests, because there was no LinkedIn session or verified profile URL on file. It found the profile URLs and left the sending to me. Knowing where an agent’s limits are is part of running one well.
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Site speed and SEO checks
I asked about page speed tests for both sites. Here are the Lighthouse results it reported:
- TubeAnalytics (mobile, slow 4G): performance 74, accessibility 100, best practices 75, SEO 100. Largest Contentful Paint was 2.2 seconds, with 930 ms of total blocking time.
- VisiScan: mobile performance 83 and desktop 90, with perfect scores for accessibility, best practices and SEO on both.
For SEO work that didn’t need Cursor cloud agents (I was out of credits), it checked Saturday’s audit. There were no P0 or open P1 issues. The one open P2 was a strategy decision about my AEO content, which it correctly said was my call, not a coding task. It recommended an option but left the choice to me.
Indexing status
Index Machine showed 114 URLs on visiscan.app: 94 indexed, 7 in progress and 1 rejected. 12 pages were flagged as needing a fix, all with the status “removed from sitemap”. One live page returned 200 but still had a noindex tag, so I had to decide whether to remove the noindex and add it to the sitemap, or leave it. The agent said it had only read data and hadn’t changed the site.
Backlink outreach on autopilot
This is where the agent saves me the most time:
- TubeAnalytics: six first-contact emails to French and German sites went out at 5:05 AM ICT and hit the daily cap. The next targets were queued for the following weekday, with follow-ups lined up.
- VisiScan: the outreach bot couldn’t reach its prospect database. The connection had been timing out since late September. I had it flagged as P1. Once fixed, the agent pointed out the cause: the database was on a free Supabase plan that hibernates. A paid tier or a keep-alive would stop it happening again.
- Approval first: VisiScan backlink sends need my approval, so it had the outreach manager draft a batch of 10. The estimate was 15 to 20 minutes. I then switched that batch to send automatically when it was done.
- Results: batch 24 went out 10 of 10, with no failures and no skips. A first follow-up was scheduled for about two weeks later if there was no reply.
I also had it pull 50 new VisiScan backlink targets through Treg and draft the 14 contacts left over from the previous pool. I show this on screen in the video.
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Honest results: opens and replies
Not every number was good. Open tracking was live, but batch 24 had zero opens from 10 first contacts, and TubeAnalytics was the same. The Gmail check found only newsletters, an autoresponder and a few bounces, with no real human replies yet. An agent can keep outreach consistent, but it can’t guarantee responses.
Credits and what I chose not to unblock
Cursor cloud agents couldn’t launch because on-demand usage was off and I had a hold on it until October 25th. The agent explained that turning on on-demand usage was the only way to unblock it, and asked whether I wanted to. I said no and decided to wait for the credits to reset. It held the fix instead of spending money without asking.
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Common mistakes to avoid
- Letting agents send without approval. Require sign-off on outreach until you trust the drafts.
- Ignoring silent failures. My checkout reminder didn’t fire. Ask for a daily rundown so you catch problems like that.
- Running production on free tiers that hibernate. The database that keeps timing out will quietly break your pipeline.
- Handing over strategy decisions. Good agents leave strategy decisions to you. Make them.
- Expecting agents to do everything. LinkedIn requests still needed me.
- Judging success by sends. Track opens and replies, not just volume.
Want help building this for your own business?
The video shows what’s possible. Inside AI Income Lab, the paid community from AI Automation Station, you get step-by-step courses, reusable templates, and a place to ask questions while you build. The courses walk you through builds like this one step by step. Over 2,900 members are already building with it, from $29 a month, and you can cancel anytime.
FAQ
What is an AI chief of staff?
An agent that coordinates your other bots and tasks, reports status, flags priorities, and brings decisions back to you instead of making them alone.
Can Grok Bot send emails automatically?
In my setup, yes, but only after I approve. VisiScan backlink batches are drafted first and sent once I sign off or tell it to send on completion.
What can’t it do?
In this session it couldn’t send LinkedIn connection requests and couldn’t launch Cursor cloud agents without on-demand credits.
Does voice control work?
Yes. I ran the whole end-of-day review by talking to it, and it answered with specific numbers and statuses.
Did the outreach get results?
Not yet. That day’s batch had zero opens and no human replies, so it’s working on consistency, not guaranteed returns.
Conclusion
Using Grok Bot as a chief of staff isn’t magic, but it’s useful. It catches failed jobs, gets the specialist bots to do their work, reports real numbers, pushes back on rushed decisions, and asks before spending money or sending outreach. Start with approvals turned on and a daily rundown, then hand over more as you build trust.
If you’d rather not figure this out alone, AI Automation Station has a paid community for it: AI Income Lab. It’s where the courses, templates and help that go with these builds live, with 2,900+ members, from $29 a month, cancel anytime.
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