While working on RewritelyApp, one recurring theme keeps coming up:
many people use AI to draft faster, but struggle with the last mile making the text sound natural, personal, and appropriate for real academic or professional contexts.

From your experience:

• What signals make writing feel genuinely human to you?

• Is it tone, structure, variability, intent, or something else?

• Where do most AI writing tools still fall short once the draft is generated?

Curious to hear different workflows and perspectives.
These insights are incredibly helpful for anyone building or using AI writing tools.

I m Oussama, a student founder, and I built RewritelyApp, a SaaS focused on humanizing AI-assisted writing.

The idea came from a simple problem: AI helps draft faster, but the output often feels artificial or disconnected from your own voice. RewritelyApp helps refine AI drafts into natural, readable writing, with tone control and visibility on how the text may be perceived.

The product is fully live and already used by early users. I m mainly here to:

• Learn from the PH community

• Collect honest feedback

• Exchange notes with other builders

Hey Product Hunt
I m Oussama, a student founder building RewritelyApp.

I m currently focused on AI-assisted writing specifically the gap between generating text with AI and turning it into something that actually sounds natural and human.

I enjoy building real products, shipping early, and learning directly from user feedback rather than over-polishing in isolation.

Looking forward to:

While building RewritelyApp, I noticed something interesting:
AI helps people think faster, but many struggle to make the final output sound like their own voice.

Some rely on heavy rewriting, others tweak prompts endlessly, and some avoid AI altogether once the draft feels too artificial.

Curious to hear from this community:

• How do you currently refine AI-assisted drafts?

• What signals make writing feel human to you?

• Where do most AI writing tools fall short?