# Timestamp wall Part of [The AI Tells Index](https://feedsquad.com/ai-tells). A tell signals low effort. It does not identify an author. Skilled writers produce every shape listed here, some of them daily, and automated detectors misread those writers for it at rates measured above 60 percent on non-native English prose. Nothing in this index proves that a machine wrote anything. Read an entry as one piece of evidence to weigh against the false-positive notes printed beside it. ## Facts - Id: timestamp-wall - Category: Platform-specific (platform) - Subcategory: show-notes - Also known as: machine-extracted chapter list, timestamps with no speaker attribution - Status: Active. Currently signals low-effort writing. - Severity: low - Evidence grade: feedsquad-observed (our own corpus only, no external attestation) - Languages: en - Added: 2026-08-15 - Updated: 2026-08-15 - Page: https://feedsquad.com/ai-tells/timestamp-wall ## Description Show notes that are a column of times against generic topic nouns, with no speaker attributed to any segment and no sign that anyone chose what to list. The source material for this entry is weak and stated as such: every description of the pattern that could be found came from tool vendors or content farms, so it ships on our own corpus. ## Why it reads as machine-written A transcript timestamp is free and an editorial decision is not. Notes assembled from the first is what remains when nobody made the second. The reader-side cost is concrete: a list of times against the word Discussion tells nobody which twelve minutes are worth their evening. ## Detection Type: judge (a rubric for a lightweight model judge) Rubric for a lightweight model judge: ```text Read the show notes on their own, without the audio. Return no-tell if a guest is named anywhere with an affiliation, or if any chapter line contains a claim rather than a topic word. Return no-tell also when the notes are plainly one deliberate line, since minimalism is a choice. Return tell only when the notes are a list of times against generic nouns, no speaker is attributed to any segment, and nothing in the list tells a reader which part is worth their time. Quote the first three chapter lines as evidence. ``` ## Examples Constructed specimens. Written for this index. Never quoted from anyone's posts. ### Specimen 1 Before, exhibiting the tell: > 00:00 Introduction. 04:12 Background. 11:30 Discussion. 22:45 Key takeaways. 31:02 Conclusion. After, repaired: > 04:12 Riikka Salo on why her team abandoned story points after two sprints. 11:30 The disagreement: she thinks estimates hide capacity problems, I think they surface them. 22:45 What she would do differently at a company over 200 people. Note: Names in this repair are invented for the specimen. ## False positives Who legitimately writes this way. Minimalist show notes are a deliberate style for small podcasts, and some shows deliberately publish nothing beyond a runtime because they want you to listen. More decisively, several hosting platforms generate chapter markers automatically as a feature, so the wall may be the host software rather than the producer. The check is whether a human touched the notes anywhere, which one named guest or one claim will show. ## Model attribution No family attribution. Automatic chapter generation on podcast hosts uses speech-to-text pipelines rather than a chat assistant, and the vendors do not publish what they run. ## Sources 1. FeedSquad show-notes review (FeedSquad observation) Corpus: Podcast show notes drafted from transcripts inside FeedSquad and reviewed before publishing, 2026. Small and qualitative. Recorded here because the external source base for this pattern is tool marketing and content farms, which is not usable as evidence. Observed 2026-08-15 ## Status history Ids are permanent. A retired tell keeps its id and its page. - 2026-08-15, Active: Shipped low severity with a weak source base stated openly. The confound is strong enough to be disqualifying on its own: several hosting platforms generate chapters automatically as a product feature, so the artefact may have nothing to do with how the show was made. ## License CC BY 4.0. https://creativecommons.org/licenses/by/4.0/ Attribution: The AI Tells Index, feedsquad.com/ai-tells Reuse the data, including commercially. Keep the attribution line. --- Dataset version 1.0.0. Schema version 1. Part of [FeedSquad](https://feedsquad.com). Built by [Herman Foundry](https://hermanfoundry.com) from Levi, Finnish Lapland.