Too many AI apps? Put them in one place
By Chatday Editorial Team ·
Quick question: how many AI apps are on your phone right now? If the honest answer is “more than I’d like to admit,” you are the rule, not the exception. A new report on how people actually work with AI found that most of us are quietly running a small fleet of them, and doing a surprising amount of busywork just to keep them straight.
The headline number is the one that stings. According to Glean’s 2026 Work AI Index, a survey of 6,000 full-time office workers, 77% now juggle more than one AI tool every week, and a full third use four or more. Even more telling: 60% say they rerun the same prompt in a second tool because the first answer wasn’t good enough. We have quietly turned into our own AI switchboard, and it is eating our time.
The average AI user now runs four tools
For a while, “using AI” meant opening one chatbot. That is over. The same Glean report found that 87% of office workers now use AI at work, and they say it saves them roughly 11 hours a week. Good news, until you see the catch: only 13% feel their company is actually performing noticeably better because of it. A lot of that saved time is leaking back out somewhere.
Part of where it goes has a name now: “botsitting.” That’s the work you do to make AI usable, feeding it context, checking its answers, fixing what it got wrong. Workers in the study spent about 6.4 hours a week on it, and the people running the most tools were the most likely to be stuck doing it. The more apps you juggle, the more plates you have to keep spinning.
Why we ended up with a drawer full of AI apps
Nobody set out to collect AI subscriptions. It happened one reasonable decision at a time.
One model writes a warmer email. Another is better at code. A third makes nicer images, and a friend swears by a fourth for research. So you sign up for each, because each is genuinely good at its thing. Before long you’ve got a browser full of tabs and a memory full of which login goes where.
Then there’s that 60% stat, the prompt-rerun habit. When an answer feels off, the instinct is not to rework it. It’s to paste the exact same question into a different app and hope for better. That instinct is completely sensible, because different models really do give different answers. The problem is the friction: copy, switch app, log in, paste, wait, compare. Do that a few times a day and the minutes add up fast.
The hidden cost of the app-hopping habit
App-hopping doesn’t feel expensive in the moment. It’s death by a thousand small taxes.
Money. The big consumer AI plans have all landed at around the same price. ChatGPT Plus, Claude Pro and Google’s Gemini plan each run roughly $20 a month. Want all three so you can pick the best answer? That’s about $60 a month for the privilege of managing three separate apps.
| What you pay for | Roughly | What you actually get |
|---|---|---|
| ChatGPT Plus | ~$20/mo | GPT models only |
| Claude Pro | ~$20/mo | Claude only |
| Google AI Pro | ~$20/mo | Gemini only |
| All three separately | ~$60/mo | three apps, three logins, three tabs |
| One place instead | one subscription | GPT, Claude, Gemini and Grok, plus tools, together |
Time and focus. Every switch is a tiny context reset. New tab, new login, re-explain what you’re doing. That’s the botsitting tax in miniature.
Your history scatters. Half a chat lives in one app, the follow-up in another, and good luck finding the thread from last Tuesday.
If you’ve been weighing whether a single premium AI plan even earns its keep, we dug into exactly that in is ChatGPT Plus worth it. The short version: paying for one is defensible, paying for four to chase the best answer is where it gets silly.
The fix is boring, and it works: one place, every model
Here’s the part the report quietly points to. If the pain is switching between tools, the answer isn’t a smarter single model. It’s not having to switch at all.
That’s the whole idea behind Chatday. GPT, Claude, Gemini and Grok live in one chat, so when an answer feels flat you don’t paste it into another app. You just switch the model in the same conversation and keep going. The context comes with you. It’s the same move as that 60% prompt-rerun habit, minus the copy-paste, the second login and the second bill.
And when you genuinely want to see which model wins a specific question, you don’t have to run your own bake-off across four tabs. You can put them head to head and read the answers side by side.
If you’re still building your mental map of who’s good at what, the other big AI models beyond ChatGPT is a friendly tour of the main players and their strengths.
Where a single hub falls short (the honest bit)
One place isn’t magic, and it’s fair to say so. You still have to pick the right model for the job, so a little know-how helps (that’s what the comparison above is for). A die-hard power user might miss one niche feature that lives only inside a specific app. And no setup removes the botsitting entirely: you should still sanity-check important answers, wherever they come from. The win isn’t perfection. It’s cutting the switching, the logins and the pile of subscriptions down to something sane.
Bottom line
The data is a little embarrassing when you see it laid out: most of us are running four AI apps and re-typing the same questions into all of them. It made sense one signup at a time, but the sum is a lot of wasted taps, logins and money.
The tidy fix isn’t another clever app to add to the pile. It’s putting the models you already rely on in one place, so switching costs you a tap instead of a chore. Fewer apps, one bill, and the same power on tap.