I use AI to generate tool descriptions for my AI directory. Then I fix what it gets wrong.

The Reality
I spent today rewriting a batch of AI-generated tool descriptions on my AI directory, seekaitool.com.

The Deep Dive

I do use AI.

There’s no way I’m manually writing 1,000 tool descriptions from scratch. That’s not realistic.

But raw AI output?
It’s bad.

Not “a little generic” bad.
It’s “every tool sounds identical” bad.

Here’s what a typical AI-generated description looks like:

This AI tool helps users improve productivity and streamline workflows using advanced machine learning technology.

That could be literally anything.

No positioning.
No audience.
No reason to exist.

So I changed my workflow.

Instead of treating AI as the writer, I treat it as a draft generator.

My current pipeline:

1. Collect the tool (manual curation)
2. Generate a first draft with AI
3. Delete generic phrases
4. Add specific use cases
5. Rewrite the first sentence completely
6. Normalize tone across all pages

The key step is brutal editing.

If I don’t remove phrases like:

“streamline workflows”
“enhance productivity”
“cutting-edge technology”

…everything becomes SEO noise.

Now I force every tool page to answer 3 things:

What is this tool actually good at?
Who should use it?
Why does it exist compared to others?

Example rewrite:

Before (AI):

An AI-powered platform that helps users generate content efficiently.

After (edited):

A writing tool for founders who need landing page copy fast without hiring a copywriter.

Way more specific. Way more searchable.

I’m testing this approach directly on seekaitool.com as my sandbox.

Not sure yet if it will scale cleanly to 1,000+ tools.
But it already feels less like a generic AI tools list and more like something usable.

The Ask

For those building directories or content-heavy sites:

How far do you let AI go before stepping in?

Do you fully automate descriptions, or keep a human layer for positioning and clarity?