# Episode dive opener 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: episode-dive-opener - Category: Platform-specific (platform) - Subcategory: opener - Also known as: In this episode, we dive into - 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: 2026-08-17 - Page: https://feedsquad.com/ai-tells/episode-dive-opener ## Description The universal podcast description opener, in which the show announces that it is about to be about its topic. This entry owns the full phrase. The single-word habit belongs with the 2023 excess-vocabulary cluster and the mid-article version belongs with structure announcements, which is why the pattern here is anchored to the episode frame rather than to the verb. ## Why it reads as machine-written The sentence describes the container instead of the contents, which is what a description writes when it was generated from a title rather than from the episode. It costs a reader the one line that decides whether they press play. Podcast marketing convention got there first, so the phrase alone is weak evidence and only earns attention when nothing after it is specific either. ## Detection Type: deterministic (a regular expression, run as written) Scope: sentence ECMAScript regular expression. The build validator compiles it and tests it against this entry's own specimens. ```regex \bin this (?:episode|video)\b,?[ \t]+(?:we|i)[ \t]+(?:dive|delve|dig|jump|get)[ \t]+(?:deep[ \t]+|straight[ \t]+)?into\b ``` Flags: gi ## Examples Constructed specimens. Written for this index. Never quoted from anyone's posts. ### Specimen 1 Before, exhibiting the tell: > In this episode, we dive into customer retention and what really drives loyalty for modern businesses. We talk about why customers leave, what makes them stay, and how the best companies think about the problem end to end. It is a conversation packed with practical takeaways for anyone building a product today. After, repaired: > This episode is a 40 minute argument with Riikka Salo about whether retention teams should own pricing. She says yes. Our own churn numbers, which we read out at minute 12, suggest she is probably right. Note: The opener is the tell. The two sentences after it are the evidence that the description never arrives: no guest, no claim, no disagreement, no minute marker. Names and figures in this repair are invented for the specimen. ## False positives Who legitimately writes this way. Podcast marketing convention predates generation tools by a decade and this phrase is house style for a lot of independent shows, including ones written entirely by hand every week. Directory listings also reward a description that states the subject in the first clause. The reviewer check is what comes after the phrase: an opener followed by a named guest and a claim is a formality, and one followed by more abstraction is the whole description. ## Model attribution No family attribution. The phrase appears across assistants asked for a podcast description and no vendor documents suppressing it. ## Sources 1. FeedSquad podcast description drafts (FeedSquad observation) Corpus: Episode descriptions drafted inside FeedSquad from titles and transcripts, reviewed before publishing, 2026. Qualitative, no counts. Graded on our own corpus because the external material on this pattern is vendor marketing. Observed 2026-08-15 ## Status history Ids are permanent. A retired tell keeps its id and its page. - 2026-08-15, Active: Still common and still uninformative on its own, so it ships active at the lowest severity. The source base is our own corpus, since the external material on podcast descriptions is entirely tool marketing. ## 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.