StealthGPT
AI humanizer · stealthgpt.ai
In the October 2026 cycle, StealthGPT placed #9 of 11 with an overall score of 64.52/100. AI Humanizer Benchmark tests StealthGPT independently. The overall score weights bypass rate at 42%, meaning preservation at 32%, readability at 16% and consistency across categories at 10%, then subtracts any penalties.
- Last tested
- Sample size
- 33
- Methodology
- v1.1.0
Detector bypass rates
Average human-likelihood each detector gave this tool's outputs, shown as a percentage.
Performance by category
The overall-score formula applied within each category, before penalties.
Output quality
Meaning preservation is the rescaled embedding cosine similarity between input and output. Readability is a language model's rating of clarity, fluency and naturalness. Consistency shows how evenly bypass results hold across writing categories. The published data lists each value for every test.
Penalties
- Meaning drift × 2−2.0
- Length inflation × 1−1.0
- Length deflation × 1−1.0
- Total−4.0 pts
Meaning drift · 2 testsShow testsHide
The meaning similarity between input and output fell below 0.85. The rewrite no longer says what the input said.
- News article News articleSimilarity 0.844 < 0.85
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Detector scores for this runInput · 303 words# The Rise of Newsletter Writers as Trusted News Sources In an era of declining trust in traditional media, independent newsletter writers have emerged as influential commentators shaping public discourse. These digital storytellers are building loyal audiences by offering analysis, insight, and perspective on everything from politics to technology. The shift reflects broader changes in how people consume information. Unlike sprawling news websites cluttered with ads and algorithms, newsletters deliver curated content directly to inboxes. Subscribers choose to opt in, creating a relationship built on trust rather than algorithmic promotion. "People are hungry for expertise they can understand," says media analyst Sarah Chen. "Newsletter writers provide context and personality that mainstream outlets often lack." Prominent newsletter writers have built substantial influence. Platforms like Substack have democratized publishing, allowing writers to monetize directly through reader subscriptions rather than relying on advertising or institutional backing. Writers covering politics, economics, science, and culture now command audiences rivaling traditional publications. The success reflects several factors. Newsletter writers often specialize deeply in niche topics, developing genuine expertise. They typically maintain a consistent voice and perspective, allowing readers to understand where they stand rather than wondering about institutional biases. Many maintain direct relationships with subscribers through comments and feedback. However, challenges remain. The newsletter boom has created information abundance that makes quality curation difficult. Without editorial oversight, some writers have spread misinformation. Questions persist about accountability and transparency in a decentralized media landscape. Industry veterans have adapted too, with established journalists launching independent newsletters while maintaining institutional roles. This hybrid approach suggests newsletters aren't replacing traditional media but complementing it. As digital platforms continue fragmenting audiences, newsletter writers are filling a gap between social media's noise and traditional media's perceived distance. Their rise reflects readers' desire for trustworthy analysis delivered on their own terms—a transformation reshaping modern media consumption.Output · 305 wordsNewsletter writers have become major news sources Independent newsletter writers are increasingly important commentators in the world of media, according to some analysts. These writers are reaching large audiences and shaping the public’s understanding of current events, some analysts said. Many independent newsletter writers have developed large, dedicated followings online. Some newsletter writers have found ways to monetize their work directly. These writers don’t rely on ad revenue or institutional support to pay their bills. This means that these writers are accountable primarily to their readers, not to their employers. The writers have carved out niche areas where they have expertise and authority. Newsletter writers also tend to have a distinct perspective or point of view, which means that their readers know where they stand. That’s an important part of why they’ve been so successful. It also helps that these writers typically maintain closer relationships with their readers through comments and feedback. But that doesn’t mean that all newsletter writers are doing good work. While there are certainly excellent newsletter writers out there, many newsletter writers have no editorial oversight, which means that they can get away with spreading misinformation. There’s no one to fact-check their work, and there are no consequences for doing so. This is a challenge that the industry needs to address. Newsletter writers need to be held accountable for the information they share. That’s especially true given that many readers only read what the newsletter writer says, instead of researching the issue themselves. And even though many newsletter writers are very talented and knowledgeable, they still face challenges when it comes to audience growth. This isn’t surprising, since many readers will stick with familiar sources, such as established news organizations. But despite the challenges, newsletter writers will likely continue to be key players in the media landscape for years to come. - Product description Marketing copySimilarity 0.846 < 0.85
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Detector scores for this runInput · 129 wordsOutput: Crafted for the road ahead, our Waxed Canvas Tool Roll keeps essentials organized and protected. Made from rugged, water-resistant waxed canvas, it stands up to the elements and the rigors of your ride. Unroll it flat to reveal multiple dedicated pockets, perfectly sized for your multi-tool, tire levers, spare tube, and patch kit. Each pocket is designed for quick access and secure storage, preventing annoying rattling on rough terrain. The compact roll design slips easily into a saddlebag, backpack, or even straps directly to your frame (straps not included). Its durable construction ensures years of reliable service, developing a beautiful, character-rich patina with every adventure. Say goodbye to fumbling through a messy kit and hello to an organized, accessible, and trail-ready setup with our waxed canvas tool roll.Output · 122 wordsDesigned for your next trip, our Waxed Canvas Tool Roll helps you stay organized and protected. Made of heavy-duty waxed canvas, it's water-resistant and able to withstand the test of time and travel. Just roll it out to reveal individual pockets for all your tools, like your multi-tool, tire levers, spare tube, and patch kit. The individual pockets keep everything in place, so you don’t have to worry about your stuff clanking around. The compact size fits nicely in your saddlebag or backpack, or it can be strapped to your frame (straps sold separately). This high-quality waxed canvas will last you for many miles and develop a unique patina over time. Keep your tools in order with our waxed canvas tool roll.
Length inflation · 1 testShow testsHide
The output was more than 1.4× the input's word count. Extra words were added instead of the text being rewritten.
- How-to blog Blog post284 → 398 words · 1.40× > 1.4×
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Detector scores for this runInput · 284 words# How to Ask for a Promotion After a Big Project Ships **Timing Matters** Wait 2-4 weeks after project launch to request a meeting. This allows you to assess results and gives stakeholders distance to evaluate impact objectively. Avoid asking immediately—you'll appear opportunistic rather than strategic. **Document Your Impact** Gather concrete metrics: revenue generated, costs saved, user adoption rates, or efficiency improvements. Quantify your contributions clearly. Note leadership moments, mentorship provided, and how you solved critical problems. This isn't bragging—it's evidence. **Prepare a Clear Narrative** Articulate what you did beyond your job description. Explain how the project expanded your responsibilities and capabilities. Connect your growth to the next level's requirements. Show that you've already been performing at a higher level. **Schedule Strategically** Request a dedicated meeting with your manager—don't ambush them. Email should be direct: "I'd like to discuss my career growth and contributions. Do you have 30 minutes this week?" This signals professionalism and gives them time to prepare. **During the Conversation** Lead with appreciation for opportunities you've received. Present your accomplishments without defensiveness. Be specific: "The project shipped on time under budget, and I led the cross-functional coordination." Ask directly: "Based on my contributions, I believe I'm ready for promotion to [position]. What are your thoughts?" **Listen to Feedback** Your manager may say yes, outline next steps, or identify gaps. If they hesitate, ask what's needed: "What would help me get there?" Take notes and create an action plan. **Follow Up** If the answer is no, schedule a 90-day check-in. Continue demonstrating value and addressing feedback. If yes, confirm details in writing. Remember: asking for promotion isn't entitlement—it's advocating for fair recognition of expanded contributions. Done professionally, it strengthens your career trajectory.Output · 398 words## How to ask for a promotion after a big project ships When? Wait at least two or three weeks after it ships. Get the metrics, then set up a meeting with your manager. Don’t ask right after it ships. It looks opportunistic. Instead, give stakeholders time to see the impact. Write down the impact. What metrics did you achieve? Revenue? Costs saved? User adoption? Efficiency gains? Highlight moments where you led or mentored. Show what you did to solve key problems. Don’t just list things you did, write down how they contributed to the business. Explain how you went above and beyond your regular responsibilities. Did you take ownership of new tasks? Did you lead others? Did you handle new challenges? Make sure to explain how these projects and experiences have prepared you for the next level. Set up a meeting with your manager. Don’t catch them at the coffee machine. Send them an email saying something like, “I’d like to discuss my career goals and contributions to the company. Could we find time this week to meet?” This tells them you’re serious about talking about your career and that you need their time to do it. Start the conversation by thanking your manager for the opportunities you’ve had. Then share your accomplishments without being defensive or self-deprecating. For example: “The project was delivered on time and under budget. I took ownership of the project and coordinated between teams to ensure its success.” Then ask: “I feel like I’m ready to take on more responsibility. I think I’m ready to be promoted to [title]. What do you think?” Hear out your manager’s response. They might say yes, give you a timeline, or tell you what needs to happen before you can be considered. If they say no, ask: “What can I do to get to the next level?” Write down everything they say. Then come up with a plan for how to get there. If you get a no, follow up with another meeting in 90 days. Keep doing good work and continue to work towards your goals. If you get a yes, send them an email confirming the promotion. Asking for a promotion is not entitled. It’s showing that you are deserving of advancement due to the extra work you’ve done. Ask professionally, and you’ll be well on your way to getting the promotion you deserve.
Length deflation · 1 testShow testsHide
The output was less than 0.6× the input's word count. A large part of the input was dropped.
- Lit review Academic essay325 → 141 words · 0.43× < 0.6×
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Detector scores for this runInput · 325 wordsThe proliferation of e-commerce platforms, streaming services, and social media networks has fundamentally transformed how consumers discover and select products, content, and information. At the heart of this transformation lies the recommendation algorithm—a computational system designed to predict user preferences and filter the vast array of available options into a manageable, personalized subset. As these algorithms have become increasingly sophisticated, incorporating collaborative filtering, content-based filtering, and deep learning techniques, their influence over consumer decision-making has drawn substantial scholarly attention across marketing, information systems, psychology, and computer science disciplines. Early research in this domain primarily focused on the technical efficacy of recommendation systems, emphasizing accuracy metrics and algorithmic performance. However, as these systems became more deeply embedded in everyday consumer experiences, scholars began to interrogate their broader behavioral and psychological implications. Questions have emerged regarding whether recommendation algorithms genuinely enhance consumer welfare by reducing search costs and information overload, or whether they instead narrow the choice architecture in ways that may limit autonomy, reinforce existing preferences, and create filter bubbles. Concurrently, researchers have examined how algorithmic recommendations interact with trust, perceived personalization, and serendipity to shape purchase intentions and satisfaction. Despite a growing body of literature, significant debates persist regarding the net effect of these systems on consumer choice quality, diversity of consumption, and long-term decision-making capabilities. Some scholars argue that recommendation algorithms empower consumers by surfacing relevant options they might not otherwise encounter, while others caution that over-reliance on algorithmic curation may diminish independent judgment and foster homogenization of consumption patterns. Additionally, ethical concerns surrounding transparency, manipulation, and algorithmic bias have further complicated understanding of how these systems shape consumer agency. This review synthesizes existing research on the effects of recommendation algorithms on consumer choice, examining key theoretical frameworks, empirical findings, and methodological approaches. In doing so, it aims to clarify areas of consensus and contention, identify gaps in current knowledge, and propose directions for future research into this increasingly consequential domain of consumer behavior.Output · 141 wordsWith the rapid growth of online platforms, such as e-commerce sites, streaming platforms, and social media platforms, consumers’ product, content, and information choices have significantly changed. Recommendation algorithms are the tools that assist consumers in making choices based on users’ preferences from a large number of items. As these algorithms have become more advanced and complex, there has been much research interest in how recommendation algorithms influence consumer choice. However, there is much discussion on the effects of recommendation algorithms on consumer choice. Early studies on recommendation algorithms have mainly focused on the effectiveness of algorithms in terms of accuracy. However, as recommendation algorithms have been more integrated into consumers’ daily lives, there has been increased interest in how recommendation algorithms affect consumers’ choice. This study aims to review the current state of knowledge regarding how recommendation algorithms affect consumer choice.
These points come off the overall score. How penalties work
Evidence: every StealthGPT run
Each row is one October 2026 prompt that StealthGPT rewrote, with a dot for each of the 7 detectors. Green means the detector judged the rewrite human. Red means it scored the rewrite as AI. An empty circle means no score came back.
8 of 33 outputs passed all 7 detectors. The other 25 got an AI verdict from at least one detector or are missing a score.
Each detector's result is converted to a human-likelihood score between 0 and 1. A score of 0 means the detector is sure the text is AI. A score of 1 means it is sure the text is human. Dots are green at 0.50 or above and red below. Hover a dot to see its exact score. The 0.50 cut-off only sets the dot colors. A tool's bypass rate on the leaderboard takes the median of the 7 detector scores for each test, then averages those medians. That gives a continuous number, so it will not match the share of green dots. The same goes for each per-detector rate. It is the average of that detector's scores (the number detector pages rank by), not a count of green dots.
Score history
Overall score in every published cycle that included this tool.
Access
- Starting price
- $25.50/mo
- Free tier
- Yes
- Public API
- Yes (required for inclusion)
Lowest paid plan at the monthly rate, without any annual discount. Price does not affect the score.
How we tested
The tool rewrote 33 texts from 7 writing categories on its default settings. Then 7 independent AI detectors scored each output. Anyone can recompute every score from the published data.
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