AI Apps — what is changing around ideas worth trying?

world_sam · Sep 5, 2026

I wanted to start a broader ideas worth trying thread around AI Apps.

A useful angle is common mistakes, but it also connects with evaluation. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Apps is genuinely useful and where it still needs improvement.

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clararobot90 · Sep 5, 2026

The point about apps and around is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.

ariaonfan · Sep 5, 2026

For AI Apps — what is changing around ideas worth trying?, I would separate the problem into setup, output quality and repeatability. apps and around fits into that because it can change the result quite a lot depending on the workflow. If you share the exact setup, it would be easier to narrow down which part matters most.

alex_2jwc · Sep 5, 2026

For AI Apps — what is changing around ideas worth trying?, I would separate the problem into setup, output quality and repeatability. apps and around fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each change is tested on its own.

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AI Apps — what is changing around ideas worth trying?

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