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@joshuamaraney TikTok profile avatar

@joshuamaraney

2026-01-28

AI productivity tools are most useful when tied to a repeatable workflow such as dictation, browser control, automation, or content operations.

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The other day the Google system sent out a bulk email to all the advertisers. The email was very exciting and wow, it looked amazing. It said drive better conversions automatically.

All you have to do is click one or two buttons and the changes will happen on your behalf. Now at a glance, it looks amazing. All I have to do is press some things and the system will work for me.

But take a look at this a bit deeper. If you click on that to apply, now you gonna go to the auto suggested settings in Google Ads. Now I've mentioned it in a previous video, but most of these automated suggestions again are not for your benefit.

They are for Google. If you look at them in a bit more detail, Google are telling you is to change all your keywords to broad, just to automated bidding, go on all the networks and a whole lot of other things. Again, all of these things have to be studied in depth, but to just let Google system automatically do these things for you is a recipe for disaster.

So please don't just follow what Google tell you blindly. A lot of it is for their benefit and not for yours. If you want to enable or pause something, you have to know what you're doing, you have to study up on it and if you don't know, you need a professional to show you the way.

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AI productivity tools are most useful when tied to a repeatable workflow such as dictation, browser control, automation, or content operations.

AI productivity and automation tooling · asserts

  • Document the workflow, inputs, failure cases, and handoff point before adding the AI tool to a production operating system.

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What is this source mainly about?

AI productivity tools are most useful when tied to a repeatable workflow such as dictation, browser control, automation, or content operations.

What should an operator take from it?

Document the workflow, inputs, failure cases, and handoff point before adding the AI tool to a production operating system.

Which topics does it connect to?

This source is connected to AI productivity and automation tooling.

What public evidence supports the record?

Now I've mentioned it in a previous video, but most of these automated suggestions again are not for your benefit.