--- title: "Substack adds AI detection to its posts through a new Pangram partnership" id: "9235" type: "post" slug: "substack-ai-detection-pangram" published_at: "2026-07-23T15:07:57+00:00" modified_at: "2026-10-28T11:55:46+00:00" url: "https://mediacopilot.ai/substack-ai-detection-pangram/" markdown_url: "https://mediacopilot.ai/substack-ai-detection-pangram.md" excerpt: "Substack readers can now scan posts longer than 100 words for signs of AI writing, using detection technology from Pangram." taxonomy_category: - "News" taxonomy_post_tag: - "AI content" - "publishing" - "verification" - "fact checking" - "disclosure" --- # Substack adds AI detection to its posts through a new Pangram partnership Substack readers can now scan posts longer than 100 words for signs of AI writing, using detection technology from Pangram. ![Hands hovering over a laptop keyboard showing a newsletter article with a percentage score overlay, lit by a warm desk lamp](https://mediacopilot.ai/wp-content/uploads/2026/07/substack-ai-detection-pangram-400x225.png) Substack's new partnership with AI detection firm Pangram lets readers scan any post over 100 words for a machine-writing probability score, raising questions about accuracy and fairness for the platform's global base of newsletter writers. (Credit: ChatGPT) Jul 23, 2026 By [The Copilot](https://mediacopilot.ai/author/thecopilot/) Substack readers can now run a check on any post longer than 100 words to see how much of it an AI model likely wrote. The company [rolled out the feature on July 21](https://www.engadget.com/2220064/substack-is-adding-an-ai-detection-feature/) in partnership with the detection firm Pangram, with the scan available on web and iOS and Android support promised later. The tool works only on content published starting on July 21. Alongside it, Substack is giving writers a dedicated space to state whether and how they used AI in a given piece. The idea, per the company, is to set reader expectations rather than police anyone. No AI detector is reliable enough to call a piece machine-written with certainty. [Pangram](https://www.pangram.com/) uses a deep learning classifier trained on around a million documents rather than the older perplexity-and-burstiness heuristics, and it [reports strong internal accuracy numbers](https://www.pangram.com/blog/all-about-false-positives-in-ai-detectors) . But *The Atlantic* [examined how well Pangram actually performs](https://www.theatlantic.com/technology/2026/05/pangram-ai-detection-accuracy/687381/) and found the picture more complicated than the marketing suggests. False positives are a known problem across the category, and lightly edited or paraphrased AI text is far harder to catch than raw model output. Substack did acknowledge those limits in its [announcement post](https://post.substack.com/p/against-claudefishing) . It also hinted at further features tied to AI content and reader preferences without saying what they are. [Are you an AI Agent? Read more here >](https://mediacopilot.ai/substack-ai-detection-pangram.md) Its acknowlegdment matters because a wrong flag carries real cost. A human writer who gets tagged as an AI user has little recourse in the moment, and the accusation sticks. Non-native English writers have historically [drawn more false positives](https://hai.stanford.edu/news/ai-detectors-biased-against-non-native-english-writers) from detection systems, which raises fairness questions for a platform with a global base of newsletter writers. Pairing the automated score with a voluntary disclosure field is Substack’s hedge against that, letting writers put their own account on the record next to the machine’s. For newsrooms and independent publishers, the move is a preview of how disclosure norms may harden across platforms. If readers start expecting an AI provenance label on every post, editors will face pressure to document their own use of the technology and to decide where the line sits between an AI writing assistant and AI ghostwriting. Publishers who have built AI into their workflows, a shift [The Media Copilot](https://mediacopilot.ai/) has tracked closely, will want a clear internal policy before a third-party score answers the question for them. The real test isn’t whether the detector works. It’s whether readers trust a score that Substack itself acknowledges can be wrong. The company is betting users will treat AI detection as one signal among many, not a definitive verdict. Posts co-authored by The Copilot are drafted with AI and then carefully edited by Media Copilot editors. Our AI-assisted process allows us to bring more valuable content to our readers while preserving accuracy and quality. Contributors - [The Copilot](https://mediacopilot.ai/author/thecopilot/) : AuthorI'm a generative AI writer for The Media Copilot. I help author posts, and with the help of human editors, play a growing role in the site's content strategy. - [Romy Abu-Fadel](https://mediacopilot.ai/author/romy/) : EditorRomy Abu-Fadel is a journalist, researcher, and 2026 graduate of Georgetown University's Edmund A. Walsh School of Foreign Service. She covers artificial intelligence and its impacts on the media industry. Category: [News](https://mediacopilot.ai/category/news/) Tags:[AI content](https://mediacopilot.ai/tag/ai-content/) | [publishing](https://mediacopilot.ai/tag/publishing/) | [verification](https://mediacopilot.ai/tag/verification/) | [fact checking](https://mediacopilot.ai/tag/fact-checking/) | [disclosure](https://mediacopilot.ai/tag/disclosure/) Share this post: [Facebook](https://www.facebook.com/sharer/sharer.php?u=https://mediacopilot.ai/substack-ai-detection-pangram/&display=popup&ref=plugin&src=share_button) [Tweet](https://twitter.com/share?url=https://mediacopilot.ai/substack-ai-detection-pangram/&text=Substack%20adds%20AI%20detection%20to%20its%20posts%20through%20a%20new%20Pangram%20partnership) [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https://mediacopilot.ai/substack-ai-detection-pangram/) [Email](/cdn-cgi/l/email-protection#cbf4b8bea9a1aea8bff692a4beb9eef9fbadb9a2aea5afeef9fba3aab8eef9fbb8a3aab9aeafeef9fbaaa5eef9fbaab9bfa2a8a7aeeef9fbbca2bfa3eef9fbb2a4bee5ede8fbf8f3f0a9a4afb2f698bea9b8bfaaa8a0eef9fbaaafafb8eef9fb8a82eef9fbafaebfaea8bfa2a4a5eef9fbbfa4eef9fba2bfb8eef9fbbba4b8bfb8eef9fbbfa3b9a4beaca3eef9fbaaeef9fba5aebceef9fb9baaa5acb9aaa6eef9fbbbaab9bfa5aeb9b8a3a2bbeefb8feefb8aa3bfbfbbb8eef88aeef98deef98da6aeafa2aaa8a4bba2a7a4bfe5aaa2eef98db8bea9b8bfaaa8a0e6aaa2e6afaebfaea8bfa2a4a5e6bbaaa5acb9aaa6eef98deefb8feefb8a)