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Prompting for Writers: Getting Past Generic Output

By Bhavik Sarkhedi10 min read15 July 2026

The reason the machine gives you generic work is that you gave it a generic self to write from. Better prompting is not a trick. It is feeding it the specific truth it cannot invent.

Every guide to prompting sells you tricks. Magic words, secret templates, the ten phrases that unlock the good output. Most of it is noise. Here is the one truth under all of it: the machine gives you generic work because you gave it a generic self to write from. The output is a mirror of the input, and a vague input has nothing to reflect but the average of everything it has read. Better prompting is not a spell. It is the discipline of feeding the machine the specific truth it could never have invented on its own. Let me show you what that means at the desk.

Generic in, generic out

Ask the machine to write a sad scene about a father and son and you will get the average of every sad father-son scene ever written. Of course you will. You asked for the center of the cloud, so it handed you the center of the cloud. The output feels generic because the request was generic, and no clever phrasing fixes a request that carried no specific life inside it. The fix is not a better command. It is a richer offering. Give it the father who reads the sports page at breakfast to avoid his son's eyes, the son who still keeps the one photo where his father is laughing. Now the machine has something particular to work with, and the average recedes.

This is the whole game, and it is the same reason machine work reads flat in the first place, which I laid out in the piece on whether AI replaces screenwriters. The tool has no specific life. So your prompting job is to lend it yours.

The prompt is a delivery system for what only you know

Reframe the whole task. A prompt is not a set of instructions to a genius. It is a delivery system for the specific truth in your head that the machine has no access to. The more of your particular, lived, strange detail you pour in, the further the output travels from the average and toward something. The writers who complain that the machine is generic are almost always the ones handing it generic. The writers who get usable material are handing it the salt-before-tasting detail, the exact texture of a real Tuesday, the line their uncle actually said. Craft guides like Writer's Digest and The Script Lab keep teaching specificity as the root of good writing, and it turns out specificity is also the root of good prompting. Same skill, new surface.

The machine writes the average of what you give it. Give it the average, and the average is exactly what you deserve back.Wr. Sarkhedi

What actually moves the output

Stripped of the trick lists, here is what genuinely changes what comes back:

Notice that none of these are secret. They are just the fundamentals of good writing, pointed at the machine instead of the page. If you cannot describe the scene specifically to the tool, you probably cannot write it yourself yet either, and the fuzzy prompt is really a fuzzy idea wearing a costume.

The limit no prompt can cross

Now the honest wall, because prompting evangelists never mention it. There is a ceiling, and it is low, on what specificity can buy you. You can prompt the machine to a scene that is specific, textured, and correct. You cannot prompt it to a scene that is felt, because feeling is not information you can pass in. You can hand it the detail of grief. You cannot hand it grief. So the machine, even beautifully prompted, arrives at a scene that has all the right particulars and still does not bleed, because the one ingredient that would make it bleed lives in you and cannot be typed into a box. That is why the deeper craft is not optional. The prompt gets the machine to the doorstep. Only you can carry the thing across.

You can prompt it toward the truth. You cannot prompt it into feeling the thing you feel.

Prompting is a skill that makes you a worse or better writer

Here is the twist that most people miss. How you prompt changes what kind of writer you become. Prompt lazily, take the generic output, and you slowly train yourself to accept the average, until your own taste dulls to match the machine's. Prompt with fierce specificity, reject everything that is not alive, and you sharpen the exact muscle that makes a writer, the one that knows the difference between correct and true. The tool can make you lazier or hungrier, and the prompt is where that fork sits. So use it as practice, not as a shortcut. Every time you refuse the generic and reach for the specific, whether you are prompting a machine or filling a blank page, you are getting better at the only thing that was ever going to keep you working. And when you use the machine at all, do it honestly, which is a question worth its own answer, the one I take up in whether to disclose it.

A scene, run twice

Let me show you the difference in practice, because it is more convincing than any rule I could state. Say I want a scene of a father dropping his daughter at a hostel for the first time. If I prompt a model with exactly that sentence, I get, reliably, some version of a car pulling up, a hug at the gate, a line about growing up too fast, and a wave as the car drives off. It is not wrong. It is also not anything, because it is built from a thousand other hostel-drop-off scenes averaged into paste.

Now imagine I feed it what I actually have, which is my own memory of packing my daughter Raaha's trunk and noticing that she folded her socks the exact way her mother does, a habit she could not have learned on purpose, it simply passed to her, unspoken, the way most of what we hand our children passes. I give the machine that one detail, the folded socks, the surprise of seeing your own house repeated in someone else's hands, and ask it to write the goodbye around that single fact instead of around the general shape of goodbyes. What comes back is not brilliant on its own merit. But it has a hook in it now, a true one, because I supplied the hook. The machine did the assembling. I did the noticing. That division of labour is the entire craft of prompting, and no amount of clever phrasing replaces the noticing part.

Try this: the specificity ladder

Take any generic prompt you have used before, "write a scene about grief" or "write a funny argument between roommates." Now climb the ladder before you send it again. First, name one real person you know who has felt this, without naming them in the prompt. Second, pull one true, physical detail from that memory, an object, a gesture, a habit. Third, state the want plainly: what does this person need, and what breaks if they do not get it. Fourth, add one hard constraint, a rule the scene must obey, no dialogue, or only three lines, or set entirely in silence. Send that instead of the first version and compare the two outputs side by side. The gap between them is the whole argument of this piece, made visible in your own draft.

Where prompting actually belongs in a writing day

I want to be honest about where this fits into an actual working process, because prompting guides often talk as if the machine sits at the center of the writer's day. It does not, or at least it should not. In my own drafting, the prompt is a late-stage tool, not an early one. Early on, when I am still finding out who my characters are and what they want, no machine helps, because that discovery is the job, not a task to delegate. Where prompting earns its keep is later, when I already know the scene's spine and I want to see a version of it rendered quickly so I can react against it, agree with a line here, throw out a paragraph there, and keep moving.

Used this way, prompting is closer to talking to a fast, tireless, slightly dim assistant than to a co-writer. You do not hand it the decisions. You hand it the execution of decisions you have already made, richly enough that its execution has somewhere real to land. I mapped the fuller version of this daily rhythm, the passes that come before and after the machine touches anything, in a working writer's actual AI workflow, and prompting discipline is only one gear in that larger machine.

The line between a tool and a ghostwriter

There is an uncomfortable question sitting under all of this, and I would rather name it than dodge it. At what point does rich, specific prompting stop being your writing, assisted, and start being the machine's writing, dressed up in your details? I do not think there is a clean formula, but I think there is a clean test. Ask yourself who made the choices that matter, the want, the wound, the shape of the scene, the moment where the character surprises you. If those are yours and the machine only filled in sentences around a skeleton you built, you are the writer. If the machine supplied the shape too and you merely approved it, you have hired a ghost and should say so, honestly, to yourself first and then to anyone who asks. That is the human-in-the-loop question I go into properly in keeping a human at the center of the process, and it matters more than any prompting technique, because a beautifully prompted scene you did not actually author is still not yours.

Feed it from a full notebook, not an empty head

Everything I have described depends on you having specific material to feed the machine in the first place, and that material does not appear on demand. It comes from the slower, older discipline of paying attention to the world before you ever open a laptop, which I wrote about at length in what actually belongs in a writer's notebook. The folded-socks detail I used above was not invented for this scene. It was sitting in a notebook from months earlier, waiting for a use I had not yet imagined. A writer who prompts from an empty head gets empty output no matter how many trick phrases they memorise. A writer who prompts from a full notebook can turn even a middling model into something that occasionally surprises them. The prompting is downstream of the noticing. Get the noticing right, taught properly in how to see like a filmmaker, and the prompting mostly takes care of itself.

Frequently asked

What is the biggest mistake writers make when prompting AI?

Handing the machine a category instead of a specific, lived detail. A vague request like write a sad scene produces the average of every sad scene ever written. The fix is not a cleverer instruction, it is feeding the tool the one true, particular fact only you know.

Can better prompting make AI output feel less generic?

Yes, up to a point. Specific detail, real constraints, and voice samples move the output away from the average considerably. But specificity only buys you correctness and texture. It cannot buy you felt emotion, because feeling is not information you can type into a box.

Should I disclose that I used AI while drafting a script?

It depends on what the machine actually did, not whether you touched it at all. I cover the honest line for that decision in a separate piece, because the right answer turns on the difference between using a tool and outsourcing the writing.

Does prompting well make me a better writer or a lazier one?

Both are possible, and the prompt is where the fork sits. Prompt lazily and accept the average, and your own taste dulls to match it. Prompt with fierce specificity and reject anything that is not alive, and you sharpen the exact instinct that makes a writer.

#ai #prompting #craft #writing
Wr. Sarkhedi
Screenwriter · Ahmedabad

Bhavik Sarkhedi wrote 21 books and 2,000+ articles before he wrote for the screen. Six registered screenplays, one produced short. He writes here about the craft, the philosophy, and the stubborn human part of the work that machines keep failing to copy. Write to him.