# Substack Adds AI Detection Tool, Lets Readers Scan for AI-Written Text

> Substack has handed its readers a small but pointed new power: the ability to check how much of a post was written by a machine. Launched in late July inside the Substack Reader and iOS app and powered by the detector Pangram, the feature lets you open a menu and choose Scan for AI text on posts, notes, comments, and replies to get an estimate of the human versus AI-assisted split. It only works on text of 100 words or more published after July 21. Notably, Substack is framing this as transparency rather than punishment. Writers can add an optional AI author's note, and the tool is pitched as encouraging disclosure instead of shaming anyone who uses AI to help draft. AI detectors are famously imperfect and prone to false positives, so baking one directly into a major publishing platform is a real bet. It puts the awkward question of authorship in front of millions of readers and nudges a writing economy built on personal voice to start reckoning openly with how much of that voice is now machine-assisted.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: TechCrunch · Published Monday, August 10, 2026_

## Wortins' read

Substack has handed its readers a small but pointed new power: the ability to check how much of a post was written by a machine. Launched in late July inside the Substack Reader and iOS app and powered by the detector Pangram, the feature lets you open a menu and choose Scan for AI text on posts, notes, comments, and replies to get an estimate of the human versus AI-assisted split. It only works on text of 100 words or more published after July 21. Notably, Substack is framing this as transparency rather than punishment. Writers can add an optional AI author's note, and the tool is pitched as encouraging disclosure instead of shaming anyone who uses AI to help draft. AI detectors are famously imperfect and prone to false positives, so baking one directly into a major publishing platform is a real bet. It puts the awkward question of authorship in front of millions of readers and nudges a writing economy built on personal voice to start reckoning openly with how much of that voice is now machine-assisted.

## Source

[Read the full story at TechCrunch](https://techcrunch.com/2026/07/22/substacks-new-tool-tells-you-whos-been-writing-their-newsletters-with-ai/)

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