My AI Clocked Out Before I Did

Yesterday, I was happily working away with my AI assistant. Courses to build. Ideas to capture. Sentences to wrestle into something people might actually want to read.

Then I hit a usage limit.  All this after creating 2 new mascots..... 

Apparently, my digital assistant had reached the end of its allowance while I still had plenty of items on my list.

Well. This was awkward.

I had found something to help me get through the work, and now the thing helping me get through the work was temporarily unavailable.

Somewhere, a printer probably smiled.

Once I stopped looking indignantly at the screen, I realized there was a useful lesson sitting in the interruption.

When a tool becomes part of how we work, its limitations become part of our planning.

That applies to rather more than AI.

Think about the spreadsheet only one person understands. The supplier who always comes through. The shared drive containing everything you need for tomorrow’s presentation. The colleague who knows where the important documents are, including the ones nobody remembers creating.

We build our days around things being available. Usually, they are.

Until the colleague goes on holiday, the supplier misses a delivery, the system goes down, or your AI assistant effectively hangs up a little sign saying, “Back later.”

The question hiding behind the inconvenience

If your favorite tool disappeared for the afternoon, what could you still get done?

Could you find your latest draft? Explain the reasoning behind a recommendation? Pick up the task yourself? Hand it to someone else with enough information for them to continue?

Or would you spend the afternoon clicking refresh and bargaining with the universe?

I ask with affection. Yesterday, I was dangerously close to negotiations.

Using AI has reminded me how valuable it is to pause occasionally and collect the work: save the draft, capture the decision, note what still needs checking, and identify the next step.

Those small habits make an interruption easier to handle. They also make it easier to return tomorrow without spending twenty minutes asking, “Now, where on earth were we?”

Leave yourself a way back in

Here is a small challenge for today.

Choose one task you are working on and write a three-sentence handover to your future self:

Here is what I have completed.
Here is what still needs my judgment.
Here is what I will do next.

Save it with the work.

It takes a minute or two. That little breadcrumb trail might rescue an entire afternoon.

At LG3, that is the kind of practical learning I care about: useful ideas you can put to work while the lesson is still fresh. Our AI courses explore ways to make these tools useful in your working day, with your judgment firmly in the driving seat.

As for my assistant and me? We are back at it today.

But I shall be keeping my drafts close.

Learn it. Grow it. Own it.