Most people open an AI text generator, type “write me a blog post about email marketing,” and get back 700 words of beige. They close the tab and decide the whole category is overhyped. The tool isn’t the problem. The request is.
A generator knows nothing about your reader, your product, the argument you made last month, or the words that make you wince. Feed it nothing and it fills the silence with the most average sentence available. Feed it a tight brief and the output changes completely.
These are five writing jobs I hand to an AI text generator most weeks, along with the briefs I actually type and the checks that keep the results usable.
Job one: a product page built from a messy brain dump
Product pages stall because the person who knows the product writes in fragments. I tip those fragments into the generator with a hard brief attached.
The brief: “You’re writing a product page for a $38 stainless steel pour-over kettle. The buyer already owns a grinder, a scale, and a gooseneck habit. Lead with pour control and temperature stability. Skip the brand story. 130 words. No exclamation marks. Never use the words ‘artisan,’ ‘elevate,’ or ‘perfect cup.'”
The banned-word list does more than it looks. Cutting three crutch phrases forces the model toward specifics like flow rate and spout angle instead of greeting-card filler. When output still feels vague, I add one more instruction: “mention exactly one number.” Numbers drag any writer, human or otherwise, out of abstraction.
For a longer version of that briefing process, there’s a solid six-step workflow with real prompts worth working through once.
Job two: a 40-minute recording into a newsletter
Transcripts are a goldmine with terrible packaging. Paste in the whole thing and you get a summary. Paste in a slice and you get writing.
The brief: “Below are 900 words from a customer call. Find the moment where she explains why she nearly cancelled her subscription. Write a 200-word newsletter opening that drops her into a specific scene using only details the transcript supports. Quote her once, directly. Do not generalise into advice.”
Two instructions carry that whole job. “Specific scene” kills the throat-clearing opener, and “quote her once” keeps a real voice inside the piece. My edit afterwards is small: cut the first sentence, check the quote is verbatim, ship it.
Job three: outreach that doesn’t read like outreach
Cold emails from generators all sound identical because everyone asks for the same thing. “Friendly but professional” is a personality vacuum, and the model will fill it with the politest possible nothing.
The brief: “Write a 75-word first-touch email to a Shopify owner who sells handmade dog collars. The opening line must reference something observable about her store. One sentence on what I do. End with a yes/no question. Plain text, no bullet points, never start with ‘I hope this finds you well.'”
The observable detail is the entire trick. When the model has to invent one, it produces something plausible but false, so I always paste in two real specifics first: the product she launched in March, the review complaint she replied to. Now the opening line is true and specific, and the rest of the email has something to be about.
Job four: rescuing a draft that reads flat
Half my generator time isn’t generation at all. It’s repair.
The brief: “Here is a 500-word draft. Rewrite only the three flattest sentences. Keep every fact and every paragraph break. Do not add adjectives. Do not smooth out the contractions.”
The restriction is deliberate. Ask for a full rewrite and you lose your rhythm along with the problems. Ask for three sentences and you keep the piece recognisably yours. Most of what makes generated text feel off is tone rather than grammar, and there are practical ways to get real value from these tools without losing your voice, mostly by limiting how much of the draft you let them touch.
Job five: fifty subject lines and one honest test
The brief: “Give me 30 subject lines for a newsletter about switching payroll providers. Under 45 characters each. No emoji, no ‘this one weird trick.’ Group them by angle: curiosity, benefit, question, and number.”
You will get maybe eight usable lines out of thirty. That’s fine, since the goal isn’t a winner. It’s options you wouldn’t have thought of at 4pm on a Thursday.
Then pick two lines that differ in angle, not punctuation, and run them against each other. A curiosity line versus a number line tells you something about your audience. Two curiosity lines with a question mark moved around tell you nothing, which is the trap most people fall into. If you want to run this properly, this step-by-step guide to running an AI test that actually tells you something covers sample sizes and what counts as a real result.
Why vague input keeps producing vague output
Every brief above is doing the same six things, just in different orders. Before you hit generate, check that yours covers most of this list:
- Reader: who they are and what they already know, in one clause.
- Length: a number of words, not “short” or “punchy.”
- Banned words: three phrases you never want to see again.
- Point of view: first person, second person, or neutral reporting.
- One concrete anchor: a number, a name, a date, or a real quote.
- Format: paragraph count, whether you want a list, whether you want a headline at all.
When the output is still dull, the fastest fix isn’t a new prompt. It’s telling the model what the piece should not do. Ban the obvious opening, the summarising final line, the three-item list of benefits. Negative instructions are clumsy to write and reliably effective.
There’s a related habit worth building: reading your output out loud before you publish it. Anything you’d never say to a colleague gets deleted. If you keep catching a robotic register in your drafts, the fixes in this guide to using an AI text generator without sounding like a robot are a good checklist.
Keep a prompt file you’ll actually reuse
Briefs that work are worth more than any subscription upgrade. I keep a plain document with eleven of them, labelled by job: product page, newsletter opener, cold email, repair pass, subject lines. Each one has the role, the reader, the length, and the three banned words for that client baked in.
When a new task shows up, I copy the closest brief, change four details, and run it. A reusable brief takes about ninety seconds to adapt and saves twenty minutes of blank-page staring. The last thing to add is a line at the bottom of each brief recording what went wrong the last time you used it, because the model won’t remember and you will.