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About
About Walter Writes AI
At Walter Writes AI, we believe AI writing should feel as natural as something written by a person. That’s why we combine humanization with built-in AI detection. Whether you’re a student, professional, or business, Walter helps you review and refine your writing so you can share it with confidence.
Try Walter Writes AI FreeOur Values: Human-First AI,
Built on Trust
At Walter Writes AI, every decision is grounded in ethical innovation, academic integrity, and user trust.
Transparency & Trust
We believe writers deserve tools that are clear about their capabilities and limitations.
Originality by Design
Revise AI drafts into natural writing that reflects your own ideas and voice.
Human-Centered Innovation
Our AI is designed to amplify human creativity and natural writing, never to replace it.
Advancing AI in Education
We build forward-thinking tools that bring responsible AI into classrooms and learning worldwide.
Our Story: Why we created Walter
Walter Writes AI was founded by Kevin Walter Moore, a seasoned copywriter and digital strategist who faced a growing problem: AI tools could generate content, but they couldn’t make it human. The writing often felt stiff, robotic, and failed to reflect the nuance, tone, or intent of the original voice, and worse, it was getting flagged by detectors.
Across classrooms in the United States and Canada, content teams in the United Kingdom, and student groups in Australia, one challenge kept repeating: well-written work was being mislabeled as AI, and genuine ideas were being held back by detection software that couldn’t distinguish creativity from code.
Kevin set out to build a new kind of tool, one that combined cutting-edge AI detection with human-like rewriting. The goal was simple: help people share their thoughts naturally and confidently, without fear of false positives or robotic results.
We continue building tools that help writers review AI-assisted work, improve clarity, and keep their own voice at the center of the process.
Because writing should
sound like you, not a machine.
Bring Walter into your workflow
Explore ways to use Walter alongside your writing tools and AI assistants.
Learn moreWalter Writes AI™ in the Press
Explore published articles and reviews that mention Walter Writes AI.
HubSpot includes Walter Writes AI in its guide to humanizing AI content, alongside practical advice on making writing more engaging and useful.
Included by HubSpotZapier quotes Walter’s CMO, Kevin Moore, on forecasting subscription revenue across customer segments, campaigns, and pricing plans.
Quoted by ZapierShopify quotes Kevin Moore on measuring the business impact of AI content, including the time between campaign engagement and revenue.
Quoted by ShopifyThe Atlantic tested Walter Writes AI as part of its reporting on AI detectors, humanizing tools, and the limits of judging authorship from text.
Coverage in The AtlanticFast Company discusses Walter Writes AI in its examination of the changing relationship between humanizing tools and AI detection.
Coverage in Fast CompanyIndustry Leaders reviews Walter Writes AI’s rewriting workflow and examines its results against AI detection tools.
Industry LeadersReviewed by Industry Leaders
How we built Walter Writes AI
We built Walter Writes AI to bring authenticity back to writing and give writers more control over their drafts.
See the humanizerResearch and development on humanization and AI detection
Launched our AI humanizer
Released humanization and AI detection in one workflow
Added multilingual rewriting and our own detection engine
What we help writers do
Writing support built around the needs of students, professionals, and teams.
Focus on your ideas
Bring rewriting and review into one workflow, with fewer steps between your first draft and final edit.
A clearer signal
Use AI detection as one input in your review. A score is an estimate, not proof of authorship.
Stay in control
Review every change and decide what works for your meaning, tone, and audience.
Everything you need to
write on your terms
Four tools that work together from first draft to final check.
As seen in
Students & academics
Check a draft for AI patterns, then revise flagged passages before you submit.
Developers & teams
Add detection and rewriting to your product through one API.
Content teams & SEOs
Review grammar, originality, and tone across high-volume content workflows.
Business & email
Polish outreach, proposals, and internal updates without flattening your voice.
E-commerce & DTC brands
Rewrite product descriptions in batches and review supplier copy for duplication.
Legal professionals
Refine AI-assisted contracts and briefs for clarity and tone. Always review legal text before use.
Wall of loveWhat writers and teams
say about Walter
How content teams, marketers, and writers use Walter
to turn AI drafts into authentic, on-voice writing.
“Our team drafts with AI, but everything we publish has to sound like our brand. Walter gets it there in one pass.”
Content Lead, Agency
Frequently asked questions.
Answers about detection accuracy, bias, and responsible use.
How accurate is AI text detection in 2026?
Accuracy varies with the detector, language, text length, and type of writing. A score is an estimate, not proof of authorship. Evaluate results on examples that match your use case and review the writing alongside its drafts and context.
Are AI detectors biased against non-native English writers?
They can be. A 2023 study in Patterns found that the detectors tested frequently misclassified essays by non-native English writers. Those results do not establish Walter’s performance. Review flagged writing in context and never use a detection score alone to judge a writer. Read the study.
Can students cheat by paraphrasing?
Rewriting can change a detector’s result, so a low score cannot establish that work meets an institution’s rules. Students should follow their course policy, acknowledge permitted AI assistance, and keep drafts that show their own thinking.
Does the detector trigger on AI-assisted but human-edited writing?
It can. Detection tools do not reliably reconstruct who wrote or edited each passage. Treat a result as a prompt for review, and consider revision history and the writer’s explanation alongside it.
How do you handle false positives in production?
Build human review into your workflow. Keep the original text and relevant context, avoid automatic penalties based on a score, and provide a way for writers to challenge a result. Test your chosen thresholds on representative samples before relying on them.
Will the detector work on text from the next major LLM it hasn't seen yet?
Performance on an unseen model cannot be guaranteed. New models, editing techniques, and writing styles can change detection results. Re-evaluate your workflow as the tools and content you review change.
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Get in touch with
our team
Send us a message and we’ll get back to you within 48 hours.
How can we help?
Contact our team for help with your account, writing tools, or a general question.
Email our teamOffice
410 rue Saint-Nicolas, Suite 236Montréal, Québec
H2Y 2P5
Canada
