The Specificity Ladder: Climbing From ‘Animal’ to ‘Limping Border Collie’

The levels of specificity in writing run from broad abstractions at the top down to concrete, particular things at the bottom, and most flat writing is stuck near the top. Picture a ladder. The top rung says “animal.” Below it, “dog.” Below that, “border collie.” At the bottom, “the limping border collie asleep on my neighbor’s porch.” Same subject, five rungs, and only the bottom one puts an actual image in the reader’s head.

Learning to climb down that ladder on purpose is one of the highest-leverage skills in human-sounding writing, and it’s exactly the move AI-generated text tends to skip. Here’s how the ladder works and how to use it so your prose stops floating in the abstract.

Key takeaways

• The ladder of abstraction, popularized by linguist S.I. Hayakawa, runs from broad terms (“animal”) down to specific ones (“a limping border collie”).
• Higher rungs cover more but show less; lower rungs show a specific thing the reader can picture. Weak writing gets stuck at the top.
• Specifics read as human because they come from a particular mind that noticed a particular thing. Abstraction could come from anyone, or a machine.
• AI text hovers high on the ladder because the most probable word is usually the more general one. Climbing down is a fast humanizing move.
• Don’t live on the bottom rung either. Climb down for the moments that should land; stay higher to summarize and move.

What the ladder of abstraction is

The idea comes from S.I. Hayakawa’s 1949 book *Language in Thought and Action*, and it’s stuck around because it’s genuinely useful. Every noun sits somewhere on a scale from concrete to abstract. “Bessie the cow” is a specific animal you could photograph. “Livestock” is more abstract. “Farm asset” is more abstract still. “Wealth” is nearly pure abstraction. Each step up strips away detail and adds coverage; each step down adds a picture and loses reach.

Neither end is better in the abstract, which is the point people miss. You need the high rungs to generalize, to make a claim that covers many cases, to move quickly. You need the low rungs to make something real, to give the reader a thing to see and feel. Skilled writing slides up and down constantly: a general claim, then a specific example that proves it, then back up to the next claim. The prose breathes because it changes altitude.

Weak writing doesn’t change altitude. It parks at the top. “Various factors impacted the situation, leading to significant challenges for the stakeholders involved.” Every noun in that sentence is on an upper rung, so nothing is visible. You can read it three times and picture nothing, because there’s nothing concrete to picture.

Why AI writing lives at the top of the ladder

A language model generates the most probable next word, and the more general term is very often the more probable one, because it fits more contexts. “Animal” appears in more sentences than “border collie.” “Issue” fits more places than “the leak under the kitchen sink.” So left to its defaults, a model drifts upward on the ladder, producing prose that’s smooth, safe, and abstract, correct at a high altitude and empty at ground level.

That’s a big part of why AI text reads as generic. It’s not wrong; it’s unspecific, and unspecific is what “generic” means. Combined with the even rhythm and predictable phrasing that make up why uniform, generic prose reads as machine-made, high-abstraction writing is one of the clearest tells. The counter-move is simple to describe and takes practice to do: climb down.

How to climb down the ladder

1. Catch the abstract noun and ask “which one, exactly?”

Train yourself to notice upper-rung nouns: “resources,” “challenges,” “solutions,” “issues,” “factors,” “the situation.” Each one is a prompt. When you hit it, ask which one, exactly, and climb down a rung or two. “We faced resource constraints” becomes “we had one designer and a budget that ran out in March.” The question does most of the work; you just have to remember to ask it.

2. Turn feelings into observable detail

Abstraction hides in emotion words too. “She was nervous” is an upper rung. Climb down: “She kept refolding the same shirt.” “He was excited” becomes “he’d already checked the tracking number four times before noon.” Showing the observable behavior instead of naming the abstract feeling is the classic version of this move, and it’s why concrete detail reads as lived rather than summarized.

3. Prioritize the load-bearing words

You don’t have to make every noun concrete; that way lies clutter. Find the one or two words in a sentence that carry the most weight, the subject, the key object, the main verb, and make those specific. A single vivid concrete detail in a sentence does more than five, and it lets the rest stay efficient. This pairs closely with swapping vague verbs like utilize and leverage for concrete ones, since verbs sit on the ladder too.

4. Use a specific to prove a general

The strongest structure is a claim followed by a specific that earns it. Say the general thing, then drop the reader onto a low rung to show it’s true. “The neighborhood was changing” (high) “the hardware store that had been there forty years became a place that sold sixteen-dollar candles” (low). The general orients; the specific convinces. Moving between the two is the rhythm that makes writing feel human and thought-through, the heart of why concrete examples beat abstractions.

5. Know when to climb back up

Specificity has a cost. Pile every sentence with bottom-rung detail and the reader drowns in particulars and loses the thread. So climb back up to summarize, to transition, to make a claim that needs to cover a lot of ground. The goal isn’t maximum detail; it’s deliberate altitude. Concrete where it should land, abstract where it should move.

A before-and-after

Here’s a paragraph parked at the top of the ladder:

> “The company faced numerous operational challenges that affected productivity. Various departments struggled with resource limitations, and communication issues further complicated the situation. Leadership implemented several initiatives to address these concerns.”

Nothing is visible. Now with a few climbs down:

> “The warehouse ran on one forklift, and when it broke in February, orders backed up for nine days. Sales kept promising ship dates the floor couldn’t hit, mostly because the two teams never talked before noon. The new ops lead fixed the dumbest part first: she put a shared board on the wall so everyone could see the same delivery dates.”

Same story. The second version has a forklift, a month, a number of days, a shared board on a wall, things you can see. It reads as written by someone who was there, because the specifics imply a person who noticed them. For more of these edits worked through, our other writing-craft guides cover them, and the pricing page shows what’s free if you want to test a draft.

Frequently asked questions

What are the levels of specificity in writing? They run along what’s often called the ladder of abstraction, a concept the linguist S.I. Hayakawa popularized. At the top sit broad abstractions like ‘animal’ or ‘issue.’ Each rung down gets more concrete: animal, dog, border collie, the limping border collie asleep on the porch. Higher rungs cover more but show less; lower rungs show a specific thing the reader can picture. Good writing moves up and down the ladder on purpose, but most weak writing gets stuck near the top, in abstraction that never touches the ground.

Why does specific writing sound more human than abstract writing? Because specifics come from a particular mind that noticed a particular thing, and abstraction could come from anyone or anything, including a machine. ‘A limping border collie’ implies a person who saw that exact dog; ‘various animals’ implies no one in particular. AI-generated text tends to hover high on the ladder because the most probable word is usually the more general one, so it reads smooth and vague. Climbing down to concrete detail is one of the fastest ways to make prose feel like a real person wrote it.

How do I make my writing more specific? When you catch an abstract noun, ask ‘which one, exactly?’ and climb down a rung or two. ‘Transportation’ becomes ‘a rusted-out Corolla’; ‘she felt emotional’ becomes ‘she kept refolding the same shirt.’ You don’t need to be at the bottom rung every time, since some ideas genuinely need a general term, but most flat writing improves the moment you swap one abstraction for a concrete image. Do it for the nouns and verbs that carry the most weight in a sentence first.

Can writing be too specific? Yes. If every sentence sits on the bottom rung, piled with detail, the reader loses the point under the particulars and the pace grinds. Specificity is a tool, not a rule. You climb down for the moments that should land, an image, a key example, a turn in the argument, and you stay higher when you need to summarize or move quickly. The skill is choosing which ideas deserve concrete detail, not maximizing detail everywhere.

Does adding specific detail help writing pass AI detection? It tends to help, because vague, high-abstraction prose is one of the things that reads as machine-generated, but it’s not a trick and no detector is the final word. Concrete detail makes writing more vivid, more credible, and more clearly the product of a specific human who noticed something, and those are good qualities whether or not a detector is involved. Treat specificity as a craft habit that happens to make text read as human, not as a way to game a score.

Closing

The ladder is a simple picture with a lot of range. Most vague, generic, machine-flat writing is stuck near the top, in abstractions that cover everything and show nothing. Learn to notice the upper-rung nouns and climb down to a limping border collie when the moment calls for it, then climb back up to keep moving. That up-and-down is what real writers do without naming it. Want to see which passages are still floating in the abstract? Run a draft through PaperBleach and climb down wherever it reads flat.