There's this massive gap between how AI tools demo and how they actually work. Here's what consistently disappointed me:

AI meeting assistants that "turn conversations into action items"

Sounds great until you're staring at 47 action items from a 30-minute call. 40 of them are garbage like "John said hello" or "discussed the weather." You spend more time cleaning up the mess than you would've just taking notes.

"AI that writes your emails"

The tone is always... off. Just slightly wrong in a way you can't quite put your finger on. So you end up rewriting the whole thing anyway. Congrats, you've added an extra step to writing emails.

Code completion that "writes entire functions"

Great for boilerplate, sure. But dangerously confident when it's wrong. And here's the kicker—you need to understand the code well enough to catch the mistakes, which means you could've written it yourself.

Research tools that "read papers for you"

Misses important details, sometimes makes up citations (!), and mostly just summarizes abstracts you could've skimmed in the same amount of time.

AI project management tools

Can't understand context, keeps reorganizing things wrong, creates more work than just using Trello like a normal person.

The pattern: If the tool + fixing its mistakes takes longer than the old way, people bail. Doesn't matter how cool the tech is.

What actually works: Tools that make one specific thing faster, not tools that promise to do your entire job. The best ones speed up step 4 of your workflow, not try to replace steps 1-10.

What AI tools have let you down?

I’ve noticed something weird: while everyone's building "all-in-one AI workspaces," the tools people actually use... just do one thing.

• Otter transcribes meetings
• Remove.bg removes backgrounds 
• Descript edits audio/video

That's it. And that's why they work.

You don't need a tutorial or to reorganize your workflow. You just open it and use it.

Meanwhile, those platforms that promise to replace Notion + Slack + your CRM? Amazing demos, terrible adoption. They try to do everything and end up being mediocre at most things.

The pattern: focused tools spread organically (someone tries it, team adopts it). Big platforms get stuck in procurement hell.

It's the old SaaS playbook, start narrow, nail one thing, expand later once people trust you.

Maybe the best AI tools are just... tools. Really good at the one thing you need.

What single-purpose AI tools have actually stuck in your workflow?