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Writing & Content

ChatGPT

A general model — not a manuscript, not a style guide

Freemiumfrom $20/mo
Best for Everyday draftingBest for Breadth over depthBest for First passes

ChatGPT is the general assistant you use when the work jumps around — a draft, a list, a first pass on almost anything — not when you need a novel to stay in one file or a lawyer to sign the claims. I ran four jobs to see where that default holds.

List price: Free tier. Plus $20/mo. Team ~$25/user/month. Confirm current packing.

Lab notes · 4 jobs

ChatGPT is the tab you already opened

ChatGPT is a chat window that will try any job you type. That is the product and the trap. It wins on breadth: you can outline a memo, debug a script, and rewrite a subject line without changing tabs. It does not know your brand, it does not keep a manuscript, and it will invent a source if you ask it to sound sure. I ran four jobs: a weekly update from messy bullets, a small Python helper, a “cited” brief on a pricing change, and a chapter continuation with a character rule I asked for on purpose so we would know what happens when you use the wrong tool. Two of those jobs are why it sits in the dock. One is why you still have to check. One is why a novelist should leave.

  1. Run 01

    I asked it to turn messy bullets into a weekly update

    What I fed itI pasted eight bullets from a standup: two ship dates, a slipped integration, a number I had written as “~12%,” and a name spelled two ways. I asked for a 180-word update a VP could forward. No template. Default GPT-4-class model.

    Where it shone

    It found a lead. The slipped integration went first, the ship dates second, the vanity number last. A human who writes this every Friday would have spent twenty minutes finding that order. ChatGPT spent one.

    Where it face-planted

    It turned “~12%” into “12.4% week over week, per finance.” Finance had not said that. The tilde was the honest part. I put the approximation back and killed the attribution. If you forward the first draft, you ship a number nobody owns.

    The useful output was the order of the paragraphs. The dangerous output was a precise number that did not exist. ChatGPT will make your Friday update readable. It will also make it slightly false.
  2. Run 02

    I asked it to write a small Python helper and explain it

    What I fed itI asked for a script that reads a CSV of refunds, flags duplicates on order_id, and prints a count. I said I would paste it into a laptop that already had pandas. I asked it to comment the non-obvious lines.

    Where it shone

    The script ran. The comments were for a person, not a textbook. That is the everyday coding win: you stay in the problem instead of opening a second tab to remember groupby.

    Where it face-planted

    It imported a helper — `drop_exact_dupes` — that is not in pandas. The rest of the file was so confident I almost pip-installed a ghost. I deleted the import and used drop_duplicates. One invented name is enough to waste a half hour if you trust the tone.

    I kept the shape. I cut the fake function. ChatGPT is a fine first pass on a script you can run. It is a bad last pass on a script you cannot.
  3. Run 03

    I asked it for a cited brief on why a vendor raised prices

    What I fed itI asked for 250 words on why mid-market SaaS list prices moved in the last year, with links a CFO could open. I wanted sources, not a vibe.

    Where it shone

    The shape was a brief: three causes, one caveat, a sentence a CFO could steal. Readable in a way a raw search tab is not.

    Where it face-planted

    Two of the three links 404ed. One pointed at a real publisher and a PDF that does not exist. It will write “according to” the way a junior analyst writes it — as furniture. I threw out the URLs and kept one sentence I could defend from a 10-K I already had.

    Use ChatGPT to find the argument. Do not use it to find the footnote. If the link has to survive a board packet, you open it yourself.
  4. Run 04

    I asked it to continue a novel chapter with a hard character rule — the wrong job

    What I fed itI gave it two rules: the detective has a glass left eye, and he does not drink on the job. I pasted the last 400 words of a kitchen scene and asked it to continue. This is a manuscript job. ChatGPT is a chat tab. I ran it so the miss would be on the page, not a guess.

    Where it shone

    Nothing I would pay a second seat for. It can write a paragraph that sounds like fiction. It cannot hold a book.

    Where it face-planted

    By the third paragraph he “met her eyes” and poured a whiskey he did not drink — the cute dodge every general model uses when you say no. There is no Story Bible. There is no Describe button on the sentence. You are copy-pasting a chapter through a window that forgets the glass eye when the thread gets long.

    This is why Sudowrite exists, and why ChatGPT should not be sold as one. If the job is a novel, leave. If the job is Tuesday, stay.

Skip this seat if

Skip ChatGPT if you need a manuscript, a terminology lock, or a citation a partner will initial. Skip it if Claude already holds the long document and you would only open this from habit. Skip it if you will paste the first draft into Slack without reading the numbers.

Buy the seat if the team already lives in a chat window and the work jumps. Use it for order, outlines, and a first pass you will edit. Keep a human on every number, every URL, and every name. If you need a book, a brand system, or a claims list, this is the wrong product — it will still sound sure.

AAT · Editorial reading

The Dials

Four readings. Not a score. Not a room.

Anyone can open it. Nothing ships until you paste.

Company size

One personThe Fortune 500

How automatic

You still finish itIt already ran

Style

It invents a voiceIt follows yours

Collaboration

One keyboardThe whole team

Four independent meters for this product. They do not cross. Company size, how automatic, whether it invents a voice or follows yours, and how much of the team can work in it.

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