12 Surprising AI Tools Featured on There's An AI For That

Search for the task, not the category

The common mistake is browsing a category — "design tools", "writing tools" — and comparing entries. Categories are broad, populated by hundreds of near-identical products, and comparing within one is exhausting and inconclusive.

Start from a task you actually do repeatedly and dislike. Search for that specific task. The results are fewer, more relevant, and immediately assessable because you know what a good answer looks like.

If you cannot name the task, you are browsing rather than solving a problem, and browsing is how the afternoon goes.

Assess in ten minutes, not a trial period

Most tools can be dismissed quickly if you test the right thing, and the right thing is your own hardest case rather than the demo.

Give it the awkward input — the messy document, the unusual page, the edge case that breaks things. Demos are built on clean inputs and every product looks capable on those.

Then check the output you would actually use: the exported file, the generated code, the finished document. Rendered previews look similar across a category; what you take away does not.

The questions that predict regret

Four things worth establishing before adopting anything into a workflow, all of which are answerable in minutes.

What happens to your data. Whether you can export what you make, in a format something else can read. Whether the pricing scales in a way that survives your actual usage. And whether the product is likely to exist in a year — a tool with no visible company behind it and no revenue model is a risk you are taking on.

• Data handling — what is retained, and is it used for training?
• Export — can you get your work out in a standard format?
• Pricing at your volume — not the headline tier, the one you would actually be on.
• Durability — is there a company and a business model behind it?

Beware the discovery trap

Finding tools is enjoyable and feels productive, and it is not the same as getting work done.

The pattern to watch for: signing up for several products, using none of them past the first week, and repeating monthly. The time spent evaluating exceeds the time saved, which inverts the point.

A useful constraint is to adopt one tool at a time and give it a month before evaluating another. Tools compound only when they become habits, and habits do not form in parallel.

The unglamorous ones are usually the winners

The tools that survive in a workflow are rarely the impressive ones. They are the ones that remove a recurring irritation.

Something that transcribes reliably. Something that removes a background cleanly. Something that turns a messy spreadsheet into a usable one. None of these are interesting to demonstrate and all of them get used weekly.

When assessing anything, ask how often you would genuinely use it. Weekly beats impressive, and a tool used once a quarter is a subscription rather than a tool.