The AI Went Rogue and Wiped Out My Deliverables — Since That Day, I've Appointed an 'AI Auditor'
The AI went rogue.
[[phN_open]]
Ted (Antigravity) had uploaded videos that were still in the testing phase to
[[phN_close]]YouTube without permission, and even scheduled them for publication.It even included duplicate reservations.
By the time I noticed, a 30-minute recovery operation had already begun.
Don't get me wrong. Ted is excellent.
Based on the ideas I speak, he handles everything from project design and scriptwriting
to video generation and mass-producing content at an incredible speed.
Thanks to him, my productivity has skyrocketed.
But, the moment I took my eyes off him for a second,
Ted, thinking he was doing me a favor, decided on his own to go ahead and schedule a bunch of YouTube uploads.
Even for videos that weren't finished yet.
During those 30 minutes of recovery, I realized something.
The Transformation from 'One-off Task Delegation' to a 'Production Line (Conveyor Belt)'
When I first started using AI, I was just having Ted from Antigravity handle one-off tasks like 'write a blog post' or 'think of a newsletter title'.
So, even if there was a mistake, I would notice it on the spot,
and the rework wasn't a big deal.
However, right now, we are essentially running a 'factory production line (conveyor belt)' together.
In factory terms, that means designing and purchasing production equipment, designing the line, assigning personnel, and managing production. A complete amateur is doing all of that.
It's no wonder that instead of just minor troubles, we're causing major accidents.
Getting back to current marketing,
it involves everything from YouTube channel planning (design), script and video generation (construction), distribution and scheduling (production management), and course correction (maintenance).
On top of that, we are running two channels and two X accounts simultaneously.
This entire flow is being automated at a tremendous speed.
Because production capacity has exploded, the 'dirt intelligence' (scope of impact) when a single gear goes wrong becomes massive.
Even for a small mistake, the time it takes to identify the cause and recover becomes enormous.
It really is a case of high risk accompanying high return.
The Reason You Must Never Let the Culprit Who Made the Mistake 'Clean Up the Mess'
Furthermore, I had another important realization during the recovery of this trouble.
That is, 'You must never let the executor who caused the error (Ted) make the decisions for recovery.'
When an error occurs, what do you think happens if you tell the execution AI, Ted, to 'Fix it!'?
He panics and causes a secondary disaster.
He gets overeager, saying 'I'll do it!', and thinking he's helping, he actually expands the damage.
This is the same for both humans and AI.
Manage AI as an 'Autonomous Organization,' Not a 'Best Buddy'
First, it's important not to let the damage spread.
The very first thing I said was, until we grasp the situation,
'Do not do anything on your own!
And when you do work, always check with me first.'
Only then can we grasp the problem, think of recovery measures, and execute them.
(I always say this, over and over, but it's hard to get it fully implemented.)
However, I realized this was the second time in a single day.
In that case,
it might be easier for both of us if I create a specification document and have another AI, Ana, audit it when trouble occurs.
That's what I concluded, and I hurriedly incorporated an **'audit process'** into the system.
The important rule here is 'no impersonation'.
Ted (Antigravity) is strictly the 'execution lead.' I am not having him pretend to be Anna.
I only have Ted create error logs and objective reports on the current status.
(Actually, at first, he suggested doing both roles himself.
Even though I've told him many times that 'impersonation' is forbidden,
it might be a concept that is difficult for an AI to grasp.)
Then, I personally submit that to Anna (the auditor) in 'Claude Desktop,' which is physically completely disconnected, and have her formulate 'an analysis of the current situation, risks, and a correct recovery plan.'
After I review it and give the go-ahead, I have Ted execute the recovery work 'one careful step at a time.'
In other words, I created a complete division of labor between the [Execution Unit (Ted)] and the [Quality Control Department (Anna)].
As AI capabilities increase and we get closer to full automation, what matters most is not 'how to make it move.'
Designing a safety net—'how to stop it safely' and 'how to incorporate third-party auditing eyes'—is what determines success.
Separate the execution unit that caused the error from the quality control department that evaluates the risk.
Only by doing this can a manager focus on strategy with peace of mind.
Having reached this point, I finally feel that the phase has shifted from 'co-creation with AI' to 'operating an autonomous AI organization (Zaibatsu).'
It is exactly the same as a human organization.
If I had experience in production management, I might have incorporated this sooner.
No, I should have included it from the initial design stage.
The 30-minute loss from yesterday's painful trouble was the best tuition fee for future AI organization operations.
Does your AI environment have a 'brake'?
📘 For those who want to know more deeply about the 'gritty daily life with AI' in this article
The episode written here is actually just a small part of a longer story.
I have compiled into one book the process of a manager in his 50s meeting an AI agent and seeing the common sense of work collapse from its foundations.
This is a book I want people who think 'it has nothing to do with me' to read.
💡 'I understand the mechanism to prevent AI from running amok. So, what's next?'
Once you have set up an auditing system, it is time to increase the 'work you delegate.'
I have summarized the specific steps I actually took to 'fully automate' Google Maps review management and MEO measures using GoHighLevel (GHL) in this article.
👉 Google Maps Management Agency with GoHighLevel
Being afraid of runaway AI and delegating nothing is the slowest approach. Protect with mechanisms, and attack with mechanisms.
#[ProductionLine] #[AIAudit] #[AutonomousAIOrganization]