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What do you still do manually, even though AI could do it?

AI can draft a reply, build a small app, or run a routine task. But being able to automate something does not always mean you want to hand it over.

Sometimes doing it yourself is how you notice a problem or understand what someone actually needs.

Should apps let you keep the old version?

You open an app to finish a familiar task. Overnight, an update has moved the controls and changed the workflow.

The new version may be better for someone starting today. For an existing user, it can mean relearning something that already worked.

Would you trade a better tool for fewer apps?

You use one app for notes and another for tasks. A new workspace offers both, with one bill and no copying between them. But its task view is weaker than the tool you already know.

Keeping specialist tools means extra logins and connections to maintain. Moving everything into one place means accepting whatever that app does less well.

What makes you turn off an app's notifications?

You try a new app and leave its notifications on. Soon the same channel is carrying:

  • Updates you need to act on

  • Routine progress reports

  • Reminders to come back

Would you give up features for an app that works offline?

You open a document on a train and the connection drops. Being able to read it is useful. Being able to finish editing it and save the changes is a different promise.

For an app maker, keeping work on the device can mean more to maintain. For the person using it, the tradeoff might be fewer AI features or waiting to share changes with a teammate.

When should a startup say no to its biggest customer?

A customer offers to pay for a feature. The money would help, but the feature only fits their workflow.

Saying yes could fund the next few months. It could also leave you maintaining a second product inside the first one.

What have you built with AI that only you use?

I recently built a small PDF editor for myself. I wanted something free that I could open in the browser whenever I needed it.

With AI, I ll just build my own seems like a reasonable option for more of these small problems. Especially when you only need a few features and the tool only has to fit the way you work.

I suspect a lot of useful AI-built software will end up as something someone keeps in their bookmarks and uses every week, without ever trying to turn it into a business.

I m hosting the editor on Inquir Compute, the platform I m building for apps, databases and background jobs. We re getting close to launch, and I d like to hear about the things people are building for themselves.

Would you try an app before creating an account?

A friend sends you an app that might solve one small problem. You open it and the first screen asks you to create an account before you can see what it does. Some apps need an account to save work or sync; for a quick evaluation, that s a real ask.

As someone building Inquir Compute, I m curious about that first step. The difference may be whether you reach a useful moment before sharing an email, or whether signing up is itself part of getting value.

What should happen when a user hits your app’s limit?

Someone spends twenty minutes preparing an import. They click Run and only then learn that their file is too large for the plan.

What should the app do with the work they have already put in?

What makes an app worth paying for when you rarely use it?

You open an app to finish one awkward job, get the result, and might not need it again for a month.

A monthly plan can feel expensive for that pattern, even when the app saves real time. The alternatives have their own tradeoffs:

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