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Redundant Automation Systems Drift: A Hidden AI Tax (Simply Explained)

A plain-language guide to redundant automation systems drift. No jargon, no tech speak, just what it means for your business.

By Mike Hodgen

Want the full technical deep dive? Read the detailed version

The Morning Two of My Own Systems Argued With Each Other

One Tuesday I opened my inbox and found two emails from the same address, about the same thing, telling me opposite things.

I run a fashion brand here in San Diego. Part of keeping it healthy is watching for spammy websites that link to mine to drag down my Google ranking. When I spot those bad sites, I add them to a "block list" so Google ignores them.

I had two automated assistants watching for this. One said a certain website was a threat and should be blocked. The other said the same website was fine. Same information. Opposite answers.

I sat there with my coffee thinking the only thing that mattered: which one do I trust?

Here's what took me a second to accept. Neither one was broken. Both did exactly what I built them to do. The problem wasn't either assistant. The problem was that I had two of them doing one job.

This is the part of building with AI nobody warns you about. When you can build a new system in an afternoon, you build a lot of them. And two systems doing the same job slowly drift apart, until one day they crash into each other and you're stuck figuring out which of your own creations lied to you.

How I Ended Up With Two Assistants Doing One Job

I never decided I wanted two. It built up one reasonable decision at a time.

The first assistant lived on my Mac. It kept the master copy of my block list, the full record of every bad website I'd ever flagged. It worked great, with one catch. When my Mac goes to sleep, the assistant quietly skips its work. No error, no warning, just a missed day. Nobody tells you about a job that never ran.

So months later, I solved that the obvious way. I set up a second assistant in the cloud. Cloud assistants never sleep, so this one ran every single day without fail.

But the cloud assistant couldn't reach the master list sitting on my Mac. It only knew about the new bad sites it found on its own. It didn't have the full history.

Now I had two assistants. One had the complete list but sometimes skipped days. The other ran every day but only saw part of the picture. Neither was wrong on its own. Each was a sensible fix for a real problem.

That's how this happens. Not on purpose. You solve the problem in front of you, ship it, and move on. Do that enough times and you wake up with two systems quietly disagreeing.

Why They Drifted Apart

Think of it like two managers running the same department, each with a different version of the schedule, each making their own tweaks without telling the other.

One week I adjusted the cloud assistant to catch a new kind of spam site. Another week I changed how the Mac assistant scored threats. I never lined the two changes up, because I wasn't thinking of them as one system.

Over time they drifted until they gave me opposite answers on the same website. You can't see the drift coming. It's invisible right up until the moment they collide, which is exactly what landed in my inbox that Tuesday.

Three things guarantee this drift, and I had all three:

  1. They owned the same job. Both decided what belonged on the block list.
  2. They saw different information. One had the full history, the other had a piece of it.
  3. They got updated separately. I patched each one on different days, whenever something broke.

I call this consolidation debt. It's debt because it builds up silently and then you pay it all at once, usually at the worst possible time.

The Trap That Made This Dangerous

Here's the detail that turned an annoyance into a real problem.

When you give Google your block list, the new file you upload replaces the entire old one. It does not add to it. Whatever isn't in the file you upload is no longer blocked.

Sit with that, because your gut tells you to build a system that emails you "here are the new bad sites to add." That feels right. But if I upload a file with only the new sites, I erase every site I'd blocked before. Months of work, gone, because the upload wiped the full list and swapped in my short new one.

So any file either assistant sends me has to be the complete list, every time. Not just the new stuff. The whole thing.

That's why the cloud assistant's partial view wasn't just messy. It only saw part of the picture. If I'd uploaded its short list, I wouldn't have just had two systems disagreeing. I'd have silently undone months of work.

The Fix, and the Part I Chose to Leave for Later

I want to be honest about what I actually fixed and what I didn't.

Short term, I made the cloud assistant always send the complete list. Even when it can't reach the master file, it rebuilds the fullest version it can and never sends a short one. Then I made the Mac assistant fold its new findings into the master list automatically, so the master copy stays current.

Result: both now produce complete, matching files. Upload either one and you're safe. They agree.

Here's the honest part though. I didn't fix the real problem. I still have two assistants doing one job. I patched them to agree today, but the three conditions for drift are still there. Give it a few months of separate tweaks and they'll drift again.

The real fix is one system, one master list, one schedule. Until I do that, I wrote the problem down in plain language as work I owe. On purpose. Because the whole mess started precisely because nobody ever wrote down that there were two systems in the first place. Forgotten debt becomes a landmine.

The Bill Nobody Mentions When AI Makes Building Cheap

When AI lets you build a system in an afternoon, the cost of building one drops to almost nothing. The cost of owning it does not.

That's the whole lesson. Everyone's dazzled by how cheap building has gotten. I've built more than 15 AI systems for my own brand and I run 29 automated processes in production. I can go from idea to working system faster than I could write the instructions by hand. That part is real and it's great.

But every system you turn on is something that has to be watched, kept honest, and eventually merged with the others. The cheaper building gets, the easier it is to accidentally create two things doing one job, because spinning up the second one feels free in the moment.

The answer isn't to build slower. Speed is the right call. The answer is discipline: keep a list of what you've actually built, write down the problems you're putting off, and merge any two systems doing one job before they have time to drift.

That work is unglamorous. It doesn't look impressive in a demo. But it's the difference between AI that keeps paying off and AI that quietly turns into a minefield.

Most companies hire someone to build their AI systems. Almost nobody thinks about who keeps fifteen of them from contradicting each other six months later. That's the part I actually protect you from. A system that lies to you is worse than no system, because you act on it.

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