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Sleazy

Podcast 1 · Introduction

Sleazy /ˈsliː.zi/ · adjective

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

In this introduction, sleazy means suggesting something cheap, so the lesson points to cheap. Cambridge defines sleazy, and the American entry records sleazy. Background sits in the article on Sleaze.

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Podcast 2 · Daily Use

In Conversation

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

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Podcast 3 · Prompt Engineering

Prompting with "sleazy"

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

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Transcript: “Sleazy” vocabulary micro-course

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

Podcast 1 — Introduction & meaning

Narrator: Today's word is "sleazy" — an adjective, pronounced /ˈsliː.zi/, with the stress on the first syllable.

Narrator: Sleazy means sordid, morally corrupt, or of very low standards — suggesting something cheap, dirty, or dishonestly shameless.

Narrator: In plain English, something sleazy feels wrong in a grimy way — a sleazy deal, a sleazy character, a sleazy part of town.

Narrator: The word originally described fabric that was flimsy and loosely woven — a cloth of poor quality that quickly fell apart.

Narrator: From flimsy material, the meaning extended to flimsy morals — things that look acceptable on the surface but fall apart under scrutiny.

Narrator: By the nineteenth century it had fully shifted to describe people, places, and situations that feel sordid and untrustworthy.

Narrator: It carries a strong sensory quality — sleazy places feel grimy, poorly lit, and slightly dangerous.

Narrator: In tone it is informal and loaded with contempt — a word you choose when something feels not just bad, but shamefully grubby.

Narrator: So remember: sleazy means cheap, sordid, and morally grubby — the kind of wrong that leaves a bad feeling.

Read podcasts 2 and 3

Podcast 2 — In conversation

Speaker A: There was something sleazy about that sales pitch — all smiles, but the small print was a trap.

Speaker B: Sleazy is exactly right — that surface charm hiding something grubby underneath.

Speaker A: Right. I stayed in a sleazy hotel once too — peeling wallpaper, flickering lights, the whole atmosphere wrong.

Speaker B: Ha — the classic sleazy atmosphere. You don't just see it, you feel it.

Speaker A: That's the word's real power — it describes a mood, not just a fact.

Speaker B: True. A common mistake is using it only for people — but it works brilliantly for places and deals too.

Speaker A: Good point. "A sleazy neighbourhood", "a sleazy arrangement" — both very natural.

Speaker B: Close synonyms? "Sordid", "seedy", and "shady" all live in similar territory.

Speaker A: "Seedy" is very close — both suggest decay and moral greyness, but "sleazy" feels more personally shameful.

Speaker B: And "squalid" adds physical filth to the mix.

Speaker A: So sleazy is specifically that low, grubby, morally questionable quality?

Speaker B: Exactly. A word that says more with one syllable than a paragraph could.

Podcast 3 — Prompt engineering

Speaker B: Let's use "sleazy" in AI prompts to flag low-quality, untrustworthy, or poorly-built elements that need replacing.

Speaker A: So sleazy in a prompt means identifying what looks cheap and feels wrong?

Speaker B: Exactly. For a UI audit, you'd write:

Prompt: Audit my app UI for anything that looks sleazy: mismatched fonts, stock-photo-heavy hero images, vague promise text, and buttons that look clickbait-cheap. Flag each one and suggest a clean, trustworthy replacement.

Speaker B: "Sleazy" tells the model to look for things that undermine trust — cheap signals that send users away.

Speaker A: So it hunts for anything that feels untrustworthy at first glance.

Speaker B: Right. For a pricing page review:

Prompt: Review my pricing page for sleazy patterns: hidden fees, asterisked conditions, bait-and-switch tier names, and fake urgency timers. Remove every sleazy element and replace each with honest, clear copy.

Speaker A: That's directly useful for any SaaS product.

Speaker B: Absolutely. For a registration form:

Prompt: Clean up my sign-up form. Remove anything sleazy — pre-ticked marketing boxes, vague data consent language, and misleading default settings. Make every option honest and opt-in only.

Speaker A: GDPR-friendly and user-respecting. What about a security review?

Speaker B: Here you go:

Prompt: Scan my codebase for sleazy shortcuts: hardcoded credentials, ignored error returns, and TODO comments left in production code. List each one, rate the risk, and give a clean fix.

Speaker A: Could it help audit a third-party integration too?

Speaker B: Yes:

Prompt: Review the third-party library I am using for anything sleazy: overly broad permissions, unclear data collection, and vague privacy terms. Flag each concern and suggest a cleaner alternative.

Speaker A: So "sleazy" means low-quality, untrustworthy, and morally grubby.

Speaker B: Exactly — a vivid word that makes the AI hunt for every corner that feels wrong.