ReHumanize
AI humanizer · rehumanize.io
In the October 2026 cycle, ReHumanize placed #10 of 11 with an overall score of 41.60/100. AI Humanizer Benchmark tests ReHumanize 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 × 1−1.0
- Length inflation × 3−3.0
- Total−4.0 pts
Meaning drift · 1 testShow testsHide
The meaning similarity between input and output fell below 0.85. The rewrite no longer says what the input said.
- Product description Marketing copySimilarity 0.845 < 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 · 153 wordsThis waxed canvas tool roll is designed to keep your essential cycling gear organized and protected. It's made from tough, water-resistant waxed canvas that can handle tough conditions and the demands of riding. When you unroll it, you'll see several specific pockets. These pockets are the right size for things like your multi-tool, tire levers, a spare tube, and a patch kit. They're made so you can get to your tools easily and keep them from rattling around when you're riding on bumpy roads. The tool roll is compact and can easily fit into a saddlebag, backpack, or be strapped to your bike frame (straps are not included). It's built to last for many years, and it will look even better with age as it picks up character from your adventures. Stop digging around in a disorganized bag – this tool roll gives you an organized, easy-to-reach setup that's ready for any trail.
Length inflation · 3 testsShow 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 → 414 words · 1.46× > 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 · 414 wordsHere's how to ask for a promotion after finishing a big project: Timing is important. Wait about two to four weeks after the project is launched. This gives you time to see how it's doing and lets other people involved look at its impact. Asking too soon can make you seem like you're just looking out for yourself, not thinking strategically. Write down what you achieved. Use specific numbers: how much money it made or saved, how many people started using it, or how much faster things became. Clearly state your contributions. Also, mention times you took the lead, helped mentor others, or figured out difficult problems. This isn't just boasting; it's showing proof of your work. Tell a clear story about your achievements. Explain what you did that was more than what your job usually requires. Talk about how the project meant you took on more responsibilities and learned new skills. Connect your growth to what's expected at the next level. Show that you're already doing work that fits a higher position. Set up the meeting at the right time. Ask your manager for a specific meeting, don't just bring it up randomly. In an email, be clear: "I'd like to talk about my career progress and what I've done. Do you have 30 minutes sometime this week?" This shows you're professional and gives them a chance to get ready. When you talk to your manager, start by thanking them for the chances you've had. Present what you've done confidently and with details. For example, say, "The project was finished on time and under budget, and I managed the work between different teams." Then, ask directly: "Given what I've done, I think I'm ready for a promotion to [position]. What do you think?" Listen to what your manager says. They might agree, tell you the next steps, or point out areas where you need to improve. If they seem unsure, ask what you need to do: "What would help me reach that goal?" Take notes and make a plan. If the answer isn't a clear yes, schedule a time to check in again in 90 days. Keep proving your value and working on the feedback you received. If they agree to a promotion, make sure the details are confirmed in writing. Remember, asking for a promotion isn't about demanding something you're owed. It's about asking for fair recognition when you've taken on more work. Doing it professionally will help your career move forward. - Discussion post Discussion board265 → 413 words · 1.56× > 1.4×
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Detector scores for this runInput · 265 wordsExtreme weather reshapes homeownership by revealing that a house is not only a private asset but also a vulnerable part of a larger environmental system. For generations, owning a home has represented stability, independence, and financial security. Floods, wildfires, hurricanes, heat waves, and severe storms complicate that promise. A property can lose value quickly when its location becomes hazardous, insurance becomes unaffordable, or essential infrastructure repeatedly fails. These risks change how people evaluate where and how to live. Buyers increasingly consider flood maps, wildfire zones, drainage, building materials, energy efficiency, and access to resilient utilities alongside school districts and square footage. Home improvements also take on new meaning: elevated foundations, fire-resistant roofs, storm shutters, backup batteries, insulation, rain gardens, and cooling systems are no longer luxuries in many regions. Yet adaptation is uneven. Wealthier homeowners may afford retrofits or relocate, while lower-income families can be trapped in dangerous areas, face rising insurance premiums, or lose their homes altogether. Extreme weather therefore challenges the idea that homeownership is purely an individual achievement. Safety depends on public decisions about zoning, infrastructure, emergency response, and climate policy. Communities must determine who pays for protective measures and how to support residents who cannot simply move. In some places, repeated disasters may make renting, cooperative housing, or government-assisted relocation more practical than traditional ownership. Ultimately, extreme weather makes homeownership less about possessing a permanent refuge and more about managing risk. It encourages a broader definition of value—one that includes resilience, environmental responsibility, affordability, and collective security. A home remains meaningful, but its safety increasingly depends on conditions beyond its walls.Output · 413 wordsExtreme weather is changing what it means to own a home. It's showing us that a house isn't just a personal asset, but also something that's part of a bigger environmental picture and can be easily affected by it. For a long time, owning a home meant having stability, being independent, and feeling financially secure. But floods, wildfires, hurricanes, heat waves, and bad storms are making that promise harder to keep. A property can lose value fast if its location becomes dangerous, insurance gets too expensive, or important services like power and water keep failing. Because of these risks, people are thinking differently about where and how they want to live. Buyers are now looking at things like flood maps, wildfire risk areas, how well a property handles drainage, the building materials used, how energy-efficient it is, and whether it has reliable utilities, right alongside the usual concerns like school districts and the size of the house. Home improvements are also being seen in a new light. Things like raising a house on stilts, using fire-resistant roofing, installing storm shutters, backup power systems, better insulation, rain gardens, and air conditioning are becoming necessities in many areas, not just nice-to-haves. However, not everyone can adapt in the same way. Wealthier homeowners might be able to afford these upgrades or move to safer areas. But families with lower incomes might get stuck in dangerous places, face higher insurance costs, or even lose their homes completely. So, extreme weather really makes us question the idea that owning a home is solely about individual effort. Safety actually depends a lot on public decisions regarding zoning laws, infrastructure, how emergencies are handled, and overall climate policies. Communities need to figure out who is going to pay for protection measures and how to help residents who can't just pick up and move. In some areas, dealing with disasters over and over might make renting, living in housing cooperatives, or moving with government help a more realistic option than sticking with traditional homeownership. In the end, extreme weather means owning a home is becoming less about having a safe haven that lasts forever, and more about how to manage the risks involved. It’s pushing us to think about value in a broader way, including how resilient a home is, how it impacts the environment, whether it’s affordable, and the overall security of the community. A home is still important, but its safety increasingly relies on things happening outside its walls. - How-to blog Blog post277 → 432 words · 1.56× > 1.4×
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Detector scores for this runInput · 277 wordsPreparing for a system-design interview requires more than memorizing architectures. Focus on developing a repeatable process for turning ambiguous requirements into practical, scalable designs. Start by reviewing core concepts: scalability, availability, consistency, latency, partitioning, replication, caching, load balancing, queues, databases, and failure recovery. Understand the trade-offs rather than memorizing definitions. Be able to explain when you would choose SQL versus NoSQL, synchronous versus asynchronous communication, and strong versus eventual consistency. Practice common design problems, such as URL shorteners, messaging systems, social feeds, file storage, ride-sharing platforms, and video services. For each problem, work through the same framework: 1. Clarify requirements. Identify key features, users, traffic patterns, data size, latency expectations, and availability goals. 2. Estimate capacity. Make rough calculations for requests per second, storage, bandwidth, and growth. State assumptions clearly. 3. Define the API and data model. Keep them simple and aligned with the main use cases. 4. Draw the high-level architecture. Explain how clients, services, databases, caches, queues, and external systems interact. 5. Explore bottlenecks and failures. Discuss replication, sharding, retries, timeouts, backpressure, monitoring, and disaster recovery. 6. Revisit trade-offs. Explain why your choices satisfy the requirements and what you would change at greater scale. During practice, speak aloud and use a timer. Interviewers evaluate communication and decision-making as much as technical knowledge. Avoid diving into implementation details before establishing the overall design, and do not present a single solution as universally correct. Review real-world engineering case studies and study the architecture of well-known systems. Before the interview, prepare a concise framework, practice estimation, and become comfortable asking clarifying questions. During the interview, collaborate actively, acknowledge uncertainty, and adjust your design when new constraints are introduced.Output · 432 wordsTo get ready for system-design interviews, don't just memorize system layouts. The key is to build a solid method for turning vague requests into designs that work well and can grow. First, brush up on the basics: things like how to scale systems, make them reliable, keep data consistent, manage delays, split data (partitioning), copy data (replication), use caches, balance traffic, handle message queues, understand different databases, and recover from failures. It's more important to grasp the give-and-take between these concepts than to just know their definitions. You should be able to explain why you'd pick SQL over NoSQL, for instance, or when to use immediate versus delayed communication, and how to decide between strict consistency and eventual consistency. Try working through common design challenges, like creating a URL shortener, a messaging system, a social media feed, file storage, a ride-sharing app, or a video streaming service. For each one, follow this process: 1. Figure out what's really needed. Pinpoint the main features, who will use it, how much traffic to expect, how much data there will be, how fast it needs to be, and how reliable it must be. 2. Guess the scale. Do some quick math to estimate requests per second, storage needs, bandwidth, and future growth. Make sure to say what assumptions you're basing these guesses on. 3. Sketch out the API and data structure. Keep them straightforward and focused on the main tasks. 4. Draw the overall system. Show how users, different services, databases, caches, queues, and outside systems connect and work together. 5. Think about potential problems and weak spots. Talk about copying data, splitting data, trying again if something fails, setting time limits, managing load, watching the system, and planning for big problems. 6. Revisit your choices. Explain why your design choices meet the requirements and what you might change if the system had to handle much more load. When you practice, talk through your thoughts out loud and use a timer. Interviewers care about how well you communicate and make decisions, not just what you know technically. Avoid getting bogged down in tiny details before you have the big picture, and don't act like your one solution is the only right way to do things. Look at real engineering case studies and study how big-name systems are built. Before your interview, have a simple plan ready, practice your estimations, and get comfortable asking questions to get more information. During the interview itself, work with the interviewer, admit when you're not sure about something, and be ready to change your design if new requirements come up.
These points come off the overall score. How penalties work
Evidence: every ReHumanize run
Each row is one October 2026 prompt that ReHumanize 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.
None of the 33 outputs passed all 7 detectors. Each got an AI verdict from at least one detector or is 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
- $9.99/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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