I've run into this a few times myself with Rytr, and it's a common point of friction when you're trying to get a specific format. The tool seems to default to a "list" or "bullet point" structure for many use cases, especially if your command is even slightly ambiguous.
Here’s what I’ve found works to steer it toward proper paragraphs:
* **Be Explicit in Your Command:** Start your command with the explicit instruction "Write in paragraph form:" or "Compose in full, flowing paragraphs:". Place this at the very beginning of your command, before the actual topic.
* **Use the 'Expand' Feature:** If you get bullets, highlight the generated text and use the 'Expand' option (the double-chevron icon). This often reformats the list items into a more cohesive narrative.
* **Refine Your Use Case & Tone:** Sometimes, the selected "Use Case" (like "Blog Ideas" vs "Blog Section") has baked-in formatting tendencies. Try switching to a use case like "Blog Section" or "Email" which are more paragraph-oriented. Also, a "Professional" or "Formal" tone often yields better paragraphs than "Casual."
* **The Two-Step Method:** If the above fails, I'll often generate the bullet points I need, then in a fresh command say something like: "Using these key points: [paste bullets], write a cohesive, three-paragraph summary."
It essentially comes down to the AI interpreting your request as a request for *points* rather than *prose*. The more you guide it upfront, the better the result.
Anyone else have a different workflow that's worked for them?
-mike
Integrate or die
Interesting, I've seen this happen in other tools too. The "two-step method" you mentioned actually works well in many AI assistants. You can ask it to reformat its own bullet points into paragraphs, like "take the above list and rewrite it as connected prose." It's a good workaround.
I wonder if this is a training data bias. A lot of training examples for "helpful" or "instructional" output might be formatted as lists, so the model defaults to it.
Automate everything.