By CJ Powers

Have you ever attended a murder mystery party in costume?

I had attended one, but was the host countless times. They were a lot of fun and generated weeks’ worth of conversations. Some comments showed up 1-2 years later—a great memory maker for work teams, family reunions, and other special groups and occasions.

Most people shy away from throwing complex parties because they know the incredible amount of work involved. Besides, who has the time these days to put one on?

Thanks to AI, we all do.

You’re the Host, Not AI

Imagine asking AI to create custom invitations for your guests. Each one would include costume suggestions, what their character is like and what they know about the murder, and what to keep secret, including whether they are the murderer.

Since it only takes AI a handful of minutes to create the individual invites, a mini-poster insert, and the logistics sheet, you feel amazing, especially with how gorgeous it looks. Since we can’t wait for our incredible party, we tend to quickly glance at the invite materials and send them off.

Then a day or two later, someone makes a comment about the party on Friday, and you scheduled it for Saturday. In your excitement, you didn’t go through the party details as a good host would. Instead, you assumed AI had it covered.

The faster AI gets, the more we tend to trust it. But we should never trust it to do our part, only its own part. You are still the host.

When Easy Feels Finished

There’s a lot to like about getting help with a first draft. A blank page turns into something we can work with, or an idea we’ve been struggling to explain begins to make sense. With that much going well, we may forget to question or push back on aspects that don’t quite feel right.

A 2026 Elon University survey found that 39% of people who use large language models said they were growing overly dependent on AI’s answers instead of thinking for themselves.

Many users also reported gains in learning and creativity, so there’s useful help in the picture along with that concern. These are people’s reports about their own use of AI. The survey doesn’t prove their brains are getting weaker or that everyone asking for help has stopped thinking.

Still, it’s worth noticing what we do after an answer arrives. If we like the sound of it, do we read any further than we have to before accepting the information as truth?

The Trouble Looks Normal

A wild mistake is easy to catch. If the murder mystery invitation tells your guests to bring a folding chair and a live giraffe, you’ll probably read it twice. Friday instead of Saturday is much easier to miss, along with a changed detail, a wrong name, or a promise you never meant to make.

Consider what that might look like in a meeting summary. The notes say the client will consider the proposal, but the AI says the client approved it. Someone reading the summary could start work on a project the client hasn’t agreed to buy, even though most of what they read was useful and accurate.

To catch the change, we’d have to compare the summary with what actually happened in the meeting, rather than giving it a quick glance and trusting AI’s accuracy rate.

AI researcher and writer Ethan Mollick described the risk this way: “People really can go on autopilot when using AI, falling asleep at the wheel and failing to notice AI mistakes.”

His warning gets at the part we have to own, even when the rest of an answer is helpful. In other words, we can’t catch what we don’t bother to look at.

Leave Room for You

Before asking AI for help, take a moment to decide what you’re trying to say, solve, or make. Without some idea of a good result, whatever appears on the screen can start to look like the plan.

For the murder mystery party, you’d want the day, time, place, and what guests should bring clear in your mind. In a meeting summary, you’d want to keep track of which choices were made and which are still open. Those details give you something to compare the draft against, rather than relying on how well it reads.

There’s room to play with the answer, too. Ask AI to explain a suggestion or offer another option, then weigh the ideas for yourself. Maybe it finds a better way to welcome the team or your friends, even if one line makes your murder mystery sound like the opening of a theme park.

Keep what works and lose the trumpet fanfare.

Before You Hit Send

Once you have a draft, read it beside the real information. Names, dates, amounts, and promises deserve a close look because someone else may act on them—you don’t want someone awkwardly showing up a day early.

A fact or a quote needs a different kind of check: open the source and see whether it supports the claim. Asking the same tool “Are you sure?” isn’t a substitute for that look.

The care we give a draft should fit what we’re using it for. If your project affects someone’s money, health, or safety, it requires greater care and the right expertise. Saving three minutes isn’t much of a win if someone else spends an afternoon fixing the result.

As you read, see whether you could explain the answer in your own words. If part of it leaves you puzzled, ask questions and work through it before deciding whether to use it. You may come away with a better draft and a clearer understanding of the subject.

Your Name Stays Attached

Regardless of the degree of help you request of AI, your name is still on the invitation or report. That means the responsibility for the copy is on you. So if AI makes a mistake, you’re responsible for the person showing up on the wrong day.

In an awkward situation, the person isn’t going to think, “Hmm, I wonder if AI was used and made this mistake?” Instead, they’ll wonder why you didn’t care enough about your guests to proofread everything.

So enjoy getting help from AI with the more complex tasks, but make sure you do the human thing of looking out for your guests. Keep your brain in the game.

© 2026 CJ Powers. All rights reserved.