IT

IT audio micro-course (transcript)

Three short podcasts about “IT”. Listen with the interactive player.

Podcast 1 — Introduction & meaning

Narrator: It. One of the shortest words in English — just two letters — and yet one of the busiest.

Narrator: It is a pronoun. Specifically, it is the third-person singular neuter pronoun in English. Its job is to stand in for a noun — usually a thing, a concept, a situation, or an animal — so we do not have to keep repeating the noun itself.

Narrator: The word comes from Old English hit, the neuter form of he. You can still see the h if you look at its genitive form: its. The h eventually dropped in speech, and by the Middle English period the word had settled into the form we know today: it.

Narrator: In its most straightforward use, it refers back to something already mentioned. The door is open — close it. The report is ready — have you read it? Here, it is simply a stand-in, keeping our sentences efficient and avoiding clumsy repetition.

Narrator: But it also has a remarkable second life as a grammatical dummy subject. When we say it is raining, or it is five o'clock, or it is strange that no one came — there is no real thing called it doing anything. The word is holding the subject position open while the real meaning comes later. Linguists call this the expletive or dummy it, and it is one of the features that makes English structurally distinctive.

Narrator: It also appears in idiomatic expressions where it refers to something abstract and understood by both speakers: she has it all figured out, he just doesn't get it, this is it. In these uses, it points to an understood situation or outcome without naming it explicitly.

Narrator: It. The two-letter pronoun that holds English sentences together — referring to the world, to nothing, to everything understood between speaker and listener.

Speaker A: I was marking some student writing yesterday and realised they keep using the noun over and over instead of using it. Like: the system crashed. The system needs to be restarted. The system was updated. It sounds exhausting.

Speaker B: Right, exactly — you replace all those with it once the noun is established. The system crashed. It needs to be restarted. It was updated. Suddenly it breathes. That's the whole point of the pronoun — once the reader knows what you're talking about, it takes over so you don't have to keep saying the noun.

Speaker A: But there's a trap, isn't there — ambiguity. If you have two nouns in a sentence, it becomes unclear which one it refers to.

Speaker B: Absolutely. That's the classic it error. The client contacted the system and it crashed — well, which one crashed? The client? The system? You have to be careful that it has only one possible antecedent, one obvious thing it could be pointing to. If there's any doubt, use the noun.

Speaker A: What about the dummy it — like it is raining, it seems likely, it turns out. There's no real thing being referred to there.

Speaker B: Yes, that's the expletive use — it just fills the subject slot. It is important to note, it appears that, it is worth mentioning. There's no referent. It is purely structural. It lets you front-load the verb phrase and delay the real subject. It is strange that she left is more natural than that she left is strange — though both are grammatical.

Speaker A: So in formal writing, which use do people get wrong most often?

Speaker B: The vague it. Writing it is obvious, or it shows, or it proves — without making clear what it refers to. Readers stumble. Always ask yourself: if someone replaced it with the actual noun phrase, would the sentence still make sense? If not, either name the thing explicitly or restructure. That test catches most of the problems.

Speaker B: Today we look at the word it in AI development prompts. Now, it might seem too small to matter — but the way you use it in a prompt determines whether the AI tracks your intended subject across a whole instruction. Let's start with a UI design prompt.

Speaker A: Makes sense. So it has to be unambiguous in the prompt?

Speaker B: Exactly. Let's see it in action.

Speaker B: PROMPT: Build a React sidebar navigation. Make it collapsible on mobile. Give it a dark slate background, white icons, and a gold active-state highlight. Ensure it stays fixed on scroll.

Speaker A: So it refers back to the sidebar throughout. The AI tracks it and applies every instruction — collapsible, dark background, fixed scroll — to the same component. No ambiguity.

Speaker B: Now a database schema prompt.

Speaker B: PROMPT: Design a PostgreSQL products table. Add a price column to it, index it by category, and ensure it stores currency as a decimal with two places.

Speaker A: Every it refers to the table. The AI builds the table then applies each modification to it in sequence. Clean chain of instructions.

Speaker B: Now an HR application.

Speaker B: PROMPT: Build a Django employee leave tracker. Connect it to a PostgreSQL database. Make it show a calendar view per employee. Add approval flow so managers can approve or reject it from a dashboard.

Speaker A: The first two uses of it refer to the app. The last one refers to the leave request. The AI follows the shift in reference naturally because the context makes it clear.

Speaker B: Now a full application prompt.

Speaker B: PROMPT: Create a Node.js invoice management app. Make it support multi-currency. Give it a clean white and navy UI. Export it to PDF on demand. Deploy it with a single npm start command.

Speaker A: Five uses of it, all referring to the same app. Short, memorable, easy to say again: make it multi-currency, give it a clean UI, export it to PDF, deploy it with npm start.

Speaker B: Last one — a navigation sidebar with extra detail.

Speaker B: PROMPT: Design a Vue admin dashboard sidebar. Make it expandable. Add role-based visibility so users only see what they are allowed to see. Give it smooth slide-in animation and a purple gradient theme.

Speaker A: Role-based visibility, smooth animation, purple gradient — all applied to the sidebar via it. The prompt is compact but complete. The AI never loses track of the subject.

Speaker B: The lesson: use it boldly in your prompts, but always make sure it has one clear antecedent. A well-placed it keeps your prompt short, readable, and precise — and the AI stays locked onto exactly what you mean.