Easy Comment Ai started producing nearly identical comments after I used it to draft responses for my team’s community posts. I changed the prompts and added more context, but the tone and wording still repeat. Is there a setting or workflow I should check to make the output more varied without rewriting everything manually?
Avoid calling the same prompt more than once in one session, as Easy Comment AI might start to remember the previous responses. It is better to always open a new session and delete all previous instructions to the AI that could have set the style or brand voice. You should also check if you accidentally use the same comment template every time, as the AI could remember it and begin to reply with it consistently.
It is a good idea to change the type of your request every time. Instead of asking for a more varied comment, you could, for example, ask a question or request a version with specific changes. You could also ask for a short sentence, a comparison to real-life examples, a counterargument, or a brief summary. Ask for multiple variations and remind the AI that every version should have a different structure and use different opening sentences.
If there are specific creativity or variety settings, it might be a good idea to change them on higher levels instead of leaving them at the lowest. While the comments might become repetitive, they will also become less formulaic and generic. Another good idea is to make a list of the most common phrases the AI uses and ask it to avoid them. It will minimize the chances of getting the same opening sentences twice in a row.
Changing sessions will most likely not help if the repetition is due to Easy Comment AI’s natural patterns or lack of variation in sources. Instead, give each post a different target audience and purpose, rather than adding more context, which may lead the output to become more similar.
If your team is approving and reusing the same drafts, the tool may be picking up a house style that is too narrow. @0xdaemon5’s audience suggestion may help, but I’d vary the requested format too: ask for a brief question, a specific observation, or a constructive disagreement. More context alone often gives the model more material to repeat rather than a new way to respond.
Some repetition is to be expected when the source posts discuss similar topics, but I would not assume Easy Comment AI is ‘learning’ from the approved drafts unless specifically designed to do so.
Do a quick isolation test:
- Generate comments for three unrelated posts.
- Remove all team, brand, and tone instructions.
- Start each request from scratch rather than editing the previous result.
- Compare the openings, sentence patterns, and closing lines.
If the unrelated posts are still producing almost identical wording, the issue is most likely a fixed template, caching issue or lack of variation within the generator itself. Save a few examples and submit them to support. If the repetition is only occurring on your community posts, the source material may be too similar, so provide each comment with a specific fact about that post that is required to address
Do not spend time crafting prompts for the Easy Comment AI until you know for sure it is actually reading the full post. Browser extensions can capture only the tab’s title or preview text, or the same page content repeated several times. If every request is similar, the different instructions will generate different recycled comments.
Ask it to respond to a post with an unusual detail, then ensure the comment actually refers to it. If it misses the detail, this is a sign of extraction or permissions error, not a creativity flaw. Make sure the post is not collapsed, or uses dynamic loading or requires login when the tool runs.
If it does include the requested detail, then your team instructions may be restricting it too much. The attempt to sound professional and supportive in a close-knit community voice is making it formulaic. Try removing most of the tone-related instructions and have it adopt a specific reaction, like a counterargument, recognition of a specific real-world implication or synthesis of two details from the post.
@retroloop_77’s support suggestion makes sense, but send examples that include the source text and generated comment together. Repetitive outputs alone do not show whether the generator failed or simply received repetitive input.
Quick thing to check before anything else: most of these comment tools don’t actually carry memory between requests, so @0xdaemon5’s session-reset advice probably won’t do much. If regenerating the exact same post gives you word-for-word the same reply, that’s a fixed sampling setting or caching, not the AI ‘remembering’ your team’s drafts. Look for a temperature or randomness slider first, since a lot of them ship stuck near zero.
A word by word repetition and a comment that merely follows the same rhetorical logic are two different failures.
The first case suggests that caching or deterministic generation is taking place.
The second often implies that Easy Comment AI is wrapping every request in a narrow hidden instruction such as ‘be positive, professional, concise, and engaging.’
Your prompt changes may be getting through, but that built in style can still dominate the result.
That is why I would not keep polishing prompts indefinitely. @cloudbear4237net is probably right that low randomness could explain exact repeats, but a randomness control will not necessarily remove the familiar “Great point, I especially agree that…” structure. Higher randomness can simply produce several slightly different versions of the same generic comment.
A good control is to take one post from the source and your exact prompt, then to run it through a generic utility of sorts without the Easy Comment AI wrapper. You are not trying to find which tool produces better text; you seek to locate the point of departure. If the control run produces significantly different arrangements of sentences while Easy Comment AI remains formulaic, it is likely due to the default prompt or a model in the Easy Comment AI’s pool. If the control response is similar to your own, you probably placed too many constraints in the prompt.
I would evaluate repetition according to how much work has gone into satisfying one or more functions. Strip a few comments of their identifying information and see if the task set for them is the same. If every single comment follows the same pattern of thought, complimenting the post, paraphrasing some of its ideas, agreeing with it, and politely wrapping the text up in a friendly conclusion, the changes to the prompt should force every comment to perform a single role and deny the others. A comment would be allowed to point out an unspoken assumption in the source text but not to compliment, summarize, or conclude the piece. Another would link together two facts without attempting to wrap up the discussion in a neat little package at the end.
There is a practical limit to this approach. If Easy Comment AI proves to be unable to avoid repetitions in the text even after the test prompt described above, it may be necessary to treat its capabilities as a given and to ask for different arrangements outright. It might be faster to simply write a short response asking for a rework than to have Easy Comment AI rewrite dozens of comments before deciding that they were all built on the same set of stock expressions.