The Detail Audit: Finding Three Places to Add Specificity in Any Draft

The fastest way to learn how to add detail to an essay is to stop reading for style and start reading for vagueness — hunt down the three spots where your draft says something without anchoring it to anything, and fix those first. Detail isn’t decoration you sprinkle on at the end. It’s the difference between a sentence a reader believes and one they skim past.

Most flat drafts aren’t flat because the sentences are ugly. They’re flat because nothing in them is *specific*. The claims float, the nouns are abstract, and the examples could belong to any essay on any topic. Once you know where to look, you can fix that in one focused pass.

Key takeaways

• Detail beats padding: a good edit adds information, not synonyms. If a sentence doesn’t tell the reader something new, it’s filler.
• Three predictable places go vague — unsupported claims, abstract nouns, and generic examples. Audit those first.
• The best detail is checkable: a number, a name, a date, a quoted phrase, a concrete object.
• Specificity answers the reader’s next question (“which one? how many? compared to what?”) before they ask it.
• Concrete writing reads as more human to a detector too, but that’s a side effect — write for the reader.

Why generic writing feels empty

Read this paragraph and notice what happens in your head:

> Social media has had a significant impact on modern communication. It has changed the way people interact in various ways. Many experts agree that these effects are both positive and negative, and it is important to consider the implications.

Nothing is wrong with the grammar. The problem is that you finish it knowing nothing you didn’t know before. “Significant impact,” “various ways,” “many experts,” “important to consider” — every phrase is a placeholder where a fact should be. This is the exact register a lot of AI-generated text falls into, because a model with no stake in the topic reaches for the safest, most general phrasing available.

Specificity is what makes a reader trust that you actually know the thing you’re writing about. “Many experts agree” is what you write when you can’t name one. “A 2018 Pew survey found teens were checking their phones a median of 100+ times a day” is what you write when you’ve done the reading. The reader can feel the difference even when they can’t name it.

How to add detail to an essay: the three-place audit

You don’t fix vagueness by adding adjectives everywhere. You fix it by finding the three places drafts predictably go generic and getting specific in exactly those spots.

Place 1: the unsupported claim

Find every sentence that asserts something without backing it up. These are the “this had a major impact” sentences — confident, and hollow.

The fix is to ask, *how would I prove this to a skeptic?* Then put the proof in.

• Before: “The policy was very effective.”
• After: “In the first year, wait times dropped from 40 minutes to 12.”

You didn’t add flourish. You added a fact. The claim went from something the reader has to take on faith to something they can picture and check.

Place 2: the abstract noun

Abstract nouns are the ones you can’t point at: *impact, implementation, aspect, factor, framework, approach, process, nature.* One or two are fine. A draft built out of them reads like fog.

The fix is to replace the abstraction with the concrete thing it’s standing in for.

• Before: “The implementation of various engagement strategies improved outcomes.”
• After: “We texted parents the night before each test. Attendance went up.”

The second version names a real thing a real person did. Abstract nouns hide the actors and actions; concrete nouns put them back on stage.

Place 3: the generic example

The tell here is an “example” that would fit any essay: “for instance, many companies have adopted this approach.” That’s not an example. It’s the *shape* of an example with the content scooped out.

The fix is to make it a specific one — a real company, a real situation, a real number. If you can’t, that’s a signal you may not have an example at all, which is worth knowing before your reader notices.

• Before: “Some businesses have used this to great effect.”
• After: “When Patagonia ran its ‘Don’t Buy This Jacket’ ad in 2011, sales reportedly rose anyway.”

Even if you’re writing from memory and can only get close, a specific-but-hedged example (“a Stanford study around 2023 found…”) beats a perfectly generic one every time.

A worked audit

Here’s the social-media paragraph again, run through all three places:

> Social media reshaped how teenagers talk to each other, and not gently. A 2018 Pew survey found 95% of U.S. teens had access to a smartphone and 45% said they were online “almost constantly.” That’s not a tweak to communication; it’s a new baseline. The upside is real — a kid in a rural town can find a community that doesn’t exist within 200 miles. The cost is real too: the same always-on access that builds those communities is the thing that makes it hard to ever put the phone down.

It’s roughly the same length as the vague version, but now it *says something.* Every sentence carries a fact, a comparison, or a concrete image. Notice we didn’t make it flowery — we made it specific. (If you want more on this move, concrete examples make any sentence sound human goes deeper on turning abstractions into proof.)

The detection angle, kept honest

There’s a real connection to AI detection worth stating plainly. Detectors don’t grade truth or specificity directly. They read statistical texture — how predictable and how varied your writing is. Generic drafts are low-variation by nature: same abstract vocabulary, same claim-without-evidence shape, sentence after sentence. That flatness is part of what nudges the “AI-like” signals. Adding real detail changes the picture — a specific number, a named place, a concrete comparison all pull in vocabulary and sentence shapes the generic version never used. If you want the underlying mechanics, we walk through the statistics behind AI detectors separately.

Don’t do the detail audit to move a score, though. Detectors output probabilities, not verdicts, and they misfire often enough — a 2023 Stanford study found they disproportionately flag writing by non-native English speakers — that gaming them is a poor goal. Add detail because it makes the essay clearer and more convincing. The more human texture comes along for free.

A quick workflow

1. Read once, marking only vagueness. Don’t fix anything yet. Just underline every “significant,” “various,” “many,” “important,” and every claim with no evidence.
2. Sort your marks into the three places. Unsupported claim, abstract noun, or generic example — each has a different fix.
3. For each claim, add the proof. A number, a source, a comparison. If you can’t find one, that’s information: maybe the claim is weaker than you thought.
4. For each abstraction, name the concrete thing. Who did what, exactly?
5. For each generic example, make it real. A named case beats a hypothetical every time.
6. Read it back. If a sentence still tells you nothing new, cut it. Detail replaces filler; it doesn’t sit next to it.

This works just as well on a draft you wrote at 2 a.m. as on one an AI produced. Model drafts are usually the most detail-starved text you’ll edit — fluent, confident, and anchored to nothing.

Closing

Specific writing is trusted writing. When you name the number, the place, the person, and the comparison, you stop asking the reader to take your word for it and start showing your work. The detail audit gives you three places to look instead of a vague instruction to “be more specific,” which is itself the kind of advice this whole piece is arguing against.

If a draft reads confident but empty, run the draft through PaperBleach to see where it goes generic, or browse the rest of the PaperBleach blog for more craft guides. Curious what a checker costs? Here’s PaperBleach pricing.

Frequently asked questions

How do I add detail to an essay without just padding the word count?

Padding adds words; detail adds information. The test is whether a new sentence tells the reader something they didn’t know. “The results were significant and notable” is padding — it repeats the claim with synonyms. “The treatment group improved 14 points while the control group barely moved” is detail — it adds a fact you can check. Audit for the three vague spots and replace them with specifics rather than sprinkling adjectives everywhere.

What counts as a concrete detail?

A concrete detail is something a reader could picture, measure, or verify: a number, a name, a date, a specific object, a quoted phrase, a named place. “Many people” is abstract; “the four seniors who ran the study” is concrete. Good detail answers a follow-up question before the reader asks it: which one, how many, when, compared to what.

Does adding specific detail help writing pass AI detectors?

Indirectly, and it’s a byproduct rather than the goal. Detectors react to flat, predictable, evenly generic text. Generic AI drafts tend to state claims and never anchor them, which reads as low-variation. Real, specific detail changes the rhythm and vocabulary of a sentence in ways that happen to read as more human. But write for the reader first; a clearer, more concrete essay is the actual win.

Where does AI-generated writing lose specificity?

In three predictable places. It makes claims it never supports (“this had a major impact”), it leans on abstract nouns instead of things you can picture (“the implementation of various strategies”), and it offers examples so general they prove nothing (“for instance, many companies do this”). Those three spots are exactly where the detail audit tells you to dig in.

Can I add detail to a draft an AI wrote?

Yes, and it’s one of the highest-value edits you can make. An untouched model draft is usually specificity-starved: confident-sounding but anchored to nothing. Going through it with the three-place audit — supporting each bald claim, swapping abstractions for concrete nouns, and replacing generic examples with real ones — does more to make it read like a person wrote it than any amount of synonym-swapping.