{"id":51867,"date":"2026-09-23T13:48:11","date_gmt":"2026-09-23T10:48:11","guid":{"rendered":"https:\/\/www.companieshistory.com\/insights\/?p=51867"},"modified":"2026-09-23T13:48:50","modified_gmt":"2026-09-23T10:48:50","slug":"my-honest-take-on-getsolveds-ai-detector-after-a-week-of-use","status":"publish","type":"post","link":"https:\/\/www.companieshistory.com\/insights\/my-honest-take-on-getsolveds-ai-detector-after-a-week-of-use\/","title":{"rendered":"My Honest Take on GetSolved’s AI Detector After a Week of Use"},"content":{"rendered":"\n

I write for a living, which means I’ve also become the person who has to prove her work is actually hers. Between clients asking for “clean” scores and editors running everything through a checker before it hits their inbox, I wanted to see what GetSolved’s AI Detector actually does under normal, everyday use \u2014 not a lab test, just a week of throwing real drafts at it.<\/p>\n\n\n\n

This isn’t a deep technical breakdown of how the detection model works under the hood, and one week with three test samples isn’t enough to make sweeping claims about accuracy. It’s more: what did it catch, did it explain itself, and is it something I’d keep using.<\/p>\n\n\n\n

What Is GetSolved’s AI Detector?<\/strong><\/h2>\n\n\n\n

It’s one piece of a bigger toolkit \u2014 GetSolved also runs a paraphraser, grammar checker, fact checker, and plagiarism checker under the same account. <\/p>\n\n\n\n

The detector’s job is to scan text and flag patterns associated with AI-generated writing, then explain why those patterns got flagged rather than just handing you a number.<\/p>\n\n\n\n

You can try it directly on Getsolved.ai<\/a> by pasting text in or uploading a file \u2014 PDF, DOCX, that kind of thing. According to GetSolved, it checks against patterns from several models, including ChatGPT, Claude, and Gemini.<\/p>\n\n\n\n

How It Works: First Impressions<\/strong>?<\/h2>\n\n\n\n

Paste or upload, wait a few seconds, get a score plus a sentence-by-sentence breakdown of what triggered it.<\/p>\n\n\n\n

That’s basically the whole workflow. No plugin, nothing to install \u2014 it runs in the browser, so I could start a scan on my laptop and finish reviewing it on a different machine without losing anything.<\/p>\n\n\n\n

The part that changed how I used it: instead of just an overall percentage, it highlights the specific sentences that read as “off” and gives a short reason \u2014 overly uniform structure, phrasing that’s technically correct but not how a person would actually talk, that sort of thing. That’s a different experience from a tool that just says “38%” and leaves you to guess.<\/p>\n\n\n\n

You’ll need to create an account before running a scan \u2014 there’s no free detector tier, so this is a required step even for the cheapest plan (more on pricing below).<\/p>\n\n\n\n

What We Tested<\/strong>?<\/h2>\n\n\n\n

Sentence-level flagging was the headline feature. Rather than treating a whole document as one blob, it isolates the specific lines contributing to the score, which makes editing feel targeted instead of like a full rewrite.<\/p>\n\n\n\n

Clarity feedback layered on top was a pleasant surprise \u2014 even sections that scored low were sometimes flagged for being wordy or inconsistent in tone, independent of the AI score itself.<\/p>\n\n\n\n

I also ran text generated by more than one chatbot through it, and it flagged both samples rather than only the one it might have been tuned for.<\/p>\n\n\n\n

Two smaller notes: it accepts full document uploads, not just short pastes, and file formats include PDF and DOCX alongside plain text.<\/p>\n\n\n\n

Sample Scans<\/strong><\/h2>\n\n\n\n

I ran three types of text through it: something I wrote entirely myself, an unedited paragraph straight out of a chatbot, and that same AI paragraph after I’d manually reworked a few flagged sentences.<\/p>\n\n\n\n

Sample type<\/strong><\/td>Description<\/strong><\/td>Score<\/strong><\/td>Notes<\/strong><\/td><\/tr>
Fully human-written paragraph<\/td>My own unedited draft<\/td>6%<\/td>No meaningful flags<\/td><\/tr>
Unedited AI-generated paragraph<\/td>Pasted straight from a chatbot<\/td>91%<\/td>Nearly every sentence flagged<\/td><\/tr>
Same paragraph, lightly edited<\/td>Reworded a few flagged lines<\/td>22%<\/td>Score dropped after edits<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

That’s the extent of what I tested \u2014 my own draft came back low, the raw chatbot paragraph came back high, and the score fell after I addressed the specific sentences it called out. <\/p>\n\n\n\n

Three samples over one week isn’t enough to generalize about accuracy across edge cases like mixed authorship, heavily edited text, or non-native English phrasing \u2014 that would take longer-term use to evaluate fairly.<\/p>\n\n\n\n

Pricing: What It Costs to Try<\/strong><\/h2>\n\n\n\n

There’s no permanent free tier for the detector. You need to create an account first, and the cheapest paid option is the 7-Day Access plan.<\/p>\n\n\n\n