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Narrow

Podcast 1 · Introduction

Narrow /ˈnærəʊ/ · adjective / verb

A short documentary narration — meaning, origin, and how the word is used.

In this introduction, narrow means adjective and verb, so the lesson points to wide. Cambridge defines narrow, and the American entry records narrow. Background sits in the article on Narrow.

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Podcast 2 · Daily Use

In Conversation

Two British speakers using "narrow" naturally in everyday talk.

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Podcast 3 · Prompt Engineering

Prompting with "narrow"

An instructor and developer explore real, copy-ready AI prompts built around the word.

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Transcript: “Narrow” vocabulary micro-course

Read along with the three podcasts, or open the full dictionary entry for Narrow for the definition, Arabic meaning, synonyms and example sentences.

Podcast 1 — Introduction & meaning

Narrator: Today's word is "narrow" — adjective and verb, pronounced /ˈnærəʊ/, with the stress on "na".

Narrator: Narrow means limited in width, or, as a verb, to reduce scope or possibilities.

Narrator: In plain English, narrow describes physical thinness, and separately, reducing options deliberately.

Narrator: It traces to Old English "nearu", a Germanic word meaning constricted or tight.

Narrator: "Narrow the search" describes deliberately reducing options to reach a more specific result.

Narrator: It differs from "thin" by application — narrow describes width specifically, thin can describe many dimensions.

Narrator: "Narrow escape" figuratively describes barely avoiding a dangerous or unfortunate outcome.

Narrator: Everyday description and search-refinement instructions both constantly rely on "narrow".

Narrator: So remember: narrow marks limited width — physical thinness, or figuratively, deliberately reducing scope or options.

Read podcasts 2 and 3

Podcast 2 — In conversation

Speaker A: "Narrow escape" always sounds so tense. Is that figurative sense really connected to the literal, physical-width meaning of narrow?

Speaker B: Genuinely, loosely connected, honestly! NARROW, from Old English "nearu", constricted, extends figuratively into describing a tight, limited margin of safety, as though danger passed through a small, narrow gap. Both senses involve tightness.

Speaker A: So the tense feeling really does borrow that same tight-margin idea from the literal, physical meaning?

Speaker B: Exactly — that tight margin is precisely why narrow escape feels so dramatically tense!

Speaker A: Example sentences?

Speaker B: "The corridor was surprisingly narrow"; "please narrow your search terms"; "she had a narrow escape from danger" — physical description, practical instruction, and dramatic outcome.

Speaker A: Common mistakes?

Speaker B: As verb, regular — narrow, narrowed, narrowed; comparative "narrower", superlative "narrowest" as adjective!

Speaker A: Close relatives?

Speaker B: "Thin" the general cousin, "tight" the constricted twin, "restrict" the verb-form alternative. Narrow keeps its precise, versatile charm!

Podcast 3 — Prompt engineering

Speaker B: Let's use "narrow" in AI prompts — useful for search-filter refinement features and UI sidebar-width responsive-design tools.

Speaker A: So narrow in a prompt could help build a search-filter refinement, or design a responsive UI sidebar width?

Speaker B: Right. For a search-filter refinement feature, you'd write:

Prompt: Let users narrow the search results by price range and category, updating the list instantly with each filter.

Speaker A: Good — what about a responsive UI design that keeps the sidebar narrow on smaller screens?

Speaker B: The UI-design prompt:

Prompt: Keep the sidebar narrow on smaller screens, collapsing it into an icon-only view below a set breakpoint.

Speaker A: A recommendation engine narrowing suggestions based on a user's most recent, specific search behaviour?

Speaker B: The recommendation-engine prompt:

Prompt: Narrow the product recommendations based on the user's most recent search, prioritising close matches over general items.

Speaker A: One more?

Speaker B: The database-query prompt:

Prompt: Narrow this query using an indexed date range, reducing the dataset before running the more expensive join.