Skip to content
Chat That WorksCHAT THAT WORKS
01Workflows 02Tools & assets 03Cost ledger 04Notes 05About GONGXU
CHAT THAT WORKS · AI WORKFLOW FIELD GUIDE
All content and pricing are prototype sample data
Prompt Bench

What Information I Remove Before Pasting Work Into ChatGPT

An ordinary office worker shares a practical, tested pre-paste sanitization workflow designed to prevent data leaks when using ChatGPT for work. Instead of relying on vague caution, this guide outlines a strict two-minute rule and five essential sanitization categories—names, numbers, identifiers, personal details, and format artifacts—to safely scrub sensitive corporate data before it ever touches a third-party chat log.

Sep 30, 2026
Prompt Bench

I almost made a real mistake about eight months ago.

I was writing a summary of a project issue and I pasted the whole thing into ChatGPT without thinking—client name, account number, the works. I caught it about four seconds after hitting enter, deleted the chat, and sat there for a minute feeling stupid.

Nothing bad happened. But it could have. And the fact that it almost happened without me noticing is the part that bothered me.

So I built a checklist. Not a vague set of principles—an actual list I run through before pasting anything. I keep it in a note on my phone called "Things I Never Want to Figure Out Twice," which is where all my hard-won lessons end up.

This post is that checklist, plus the reasoning behind each item, plus the categories that took me a while to realize were risky.

Fair warning: this is the least exciting post I've written. It's also the one I'd want a coworker to read before they used ChatGPT at work.

The Two-Minute Rule

Before the checklist, here's the frame I use.

If sanitizing the material takes more than two minutes, I don't paste it. I do the task manually.

That's it. That's the rule. It sounds arbitrary, but it works because it forces a real decision instead of a vague "I'll be careful." Material that can be sanitized quickly usually isn't that sensitive. Material that takes ten minutes to sanitize is material that probably shouldn't be going anywhere.

Two minutes. If I can't get it clean that fast, I stop.

Category One: Names

A close-up documentary photo of a laptop screen displaying an email draft, with glasses on a wooden desk.

This is the most obvious one and also the one people are sloppiest about.

What I Remove

  • Client and customer names

  • Coworker full names

  • Manager names

  • Vendor and supplier names

  • Names of people mentioned in email threads

  • My own full name

Why Coworker Names Matter More Than You'd Think

A client name is obviously sensitive. Coworker names feel harmless—they're just people I work with, right?

But think about what happens when you ask ChatGPT to rewrite an email about a missed handoff, and you've included the coworker's actual name. Now there's a record, in a third-party system, of a specific named person being associated with a problem. That's a personnel issue, not a writing task.

The fix is simple. "Person A" or "the team lead" works just as well for the task and carries none of the risk.

What I Do Instead

Role-based placeholders. "Client A," "the vendor," "my manager," "the requester." I keep the mapping in my head. ChatGPT only needs to know the shape of the situation, not who's in it.

Category Two: Numbers

This is the category that took me longest to get right, because numbers don't feel like identifying information.

What I Remove

  • Account numbers

  • Invoice and purchase order numbers

  • Contract values

  • Salaries and compensation figures

  • Revenue or budget figures tied to a specific client or project

  • Employee ID numbers

  • Phone numbers

  • Physical addresses

The Test I Use

Would I be comfortable if this number appeared in a screenshot on someone else's screen?

If the answer is no, it comes out. Not "I'll describe it approximately." It comes out entirely, and if the number matters to the task, I rephrase the task so it doesn't.

What I Do Instead

Ranges and descriptions. Instead of "the $47,000 invoice," I write "a mid-size invoice." Instead of "revenue was down 12%," I write "revenue was down." The writing task rarely depends on the exact figure, and if it does, the exact figure shouldn't be pasted.

Category Three: Project and Client Identifiers

This one is sneaky. Project codenames, product names, internal system names—these don't look sensitive, but they can be.

What I Remove

  • Internal project codenames

  • Product names not yet public

  • Names of internal systems and tools

  • Department-specific acronyms that identify the organization

  • Anything from a document marked "internal only"

Why This Matters

If I paste a project codename into ChatGPT, and that codename is unique, it's effectively identifying my employer. It's not as direct as pasting the company name, but it's the same thing with extra steps.

What I Do Instead

Generic descriptions. "A system migration project," "a vendor evaluation," "the new onboarding process." The task doesn't care what it's called internally.

Category Four: People's Personal Information

This category deserves its own section because the stakes are higher.

What I Remove

  • Anything about my kids—names, schools, teachers, ages, schedules

  • Anything about Jamie's work

  • Health information about anyone in my family

  • Anyone else's personal details, even in passing

The Home Team Version of This Rule

When I plan a family weekend or use ChatGPT for household stuff, I refer to my kids by age, not name. "A 9-year-old and a 7-year-old." Not Mateo and Sofia.

The reason isn't paranoia. It's that a child's name attached to a schedule, a school, or a location is a combination that doesn't belong in a chat log. Ages and general constraints are all ChatGPT needs to help.

Same thing for Jamie. "My spouse works in healthcare" is fine. Her employer, her schedule specifics, her coworkers—none of that goes in.

Category Five: The Stuff That's Easy to Forget

These are the ones that catch people, including me.

Attachments

If a document is attached to an email, it doesn't matter that I'm only pasting the email body. If the email references the attachment, I check whether the reference itself gives something away.

Subject Lines

Subject lines often contain more identifying detail than the body. Check them separately.

Signature Blocks

Every email has one. It has a name, a title, a company, a phone number. It gets copied along with the body if you're not looking.

Meeting Invites

Calendar invites contain attendee lists, meeting links, and sometimes dial-in codes. Don't paste them.

Screenshots

I've never done this, but I've seen coworkers do it. A screenshot of a spreadsheet contains everything in that spreadsheet, including the column you didn't scroll to.

The Checklist

Here's the actual list I run through. It takes about thirty seconds once you're used to it.

Names

  • No client or customer names

  • No coworker names

  • No manager or vendor names

  • No names from email threads

  • No family names

Numbers

  • No account, invoice, or PO numbers

  • No contract values or salaries

  • No client-specific financial figures

  • No phone numbers or addresses

Identifiers

  • No project codenames

  • No unreleased product names

  • No internal system names

  • Nothing marked internal-only or confidential

Personal

  • No kids' names, schools, or schedules

  • No health information about anyone

  • No personal details about coworkers

Format

  • Attachments not referenced by name

  • Subject lines checked

  • Signature blocks removed

  • No screenshots

Final check

  • Can I sanitize this in under two minutes?

  • Does my company's policy allow this?

If everything checks out, I paste. If anything doesn't, I do it manually.

A documentary-style photo of a handwritten checklist on a notebook, outlining workplace privacy and sanitization rules.

The Test Card

Task: Establish a reliable pre-paste sanitization process for work material.

Prompt or workflow: Run material through five categories—names, numbers, identifiers, personal information, format artifacts—before pasting anything into ChatGPT. Apply the two-minute rule: if sanitizing takes longer, do the task manually.

Starting conditions: Raw work material including names, client details, financial figures, and project identifiers.

Time before ChatGPT: No process. Occasional near-misses and one close call that prompted building the checklist.

Time after ChatGPT: About 30–60 seconds per paste once the checklist is memorized. Three minutes for a longer document.

Editing required: Not applicable—this is a pre-processing step, not an output step.

What went wrong: I pasted client-identifying information into a chat without thinking, caught it immediately, and deleted the chat. The lesson wasn't "be careful"—it was "build a process so you don't have to rely on being careful."

Privacy notes: This entire post is the privacy note. The two-minute rule is the enforcement mechanism. If sanitizing takes longer than two minutes, the material is too sensitive to paste.

Who should not use this method: Anyone whose workplace prohibits external AI tools entirely—no checklist makes that acceptable. Anyone who finds themselves frequently spending more than two minutes sanitizing, which is a signal the material probably shouldn't be pasted at all. And anyone who will skip the checklist because they're in a hurry—hurried is exactly when mistakes happen.

The Thing I Want You to Take Away

I'm not writing this to scare anyone. ChatGPT is genuinely useful for work tasks, and I use it every day.

But the risk isn't in the tool. It's in the gap between "I'm being careful" and "I actually have a process." Most people are in that gap. I was, until I pasted something I shouldn't have.

A checklist closes the gap. Thirty seconds, five categories, one rule about two minutes.

That's it. Nothing clever. Just a workflow that keeps me out of trouble.

I tried it at my desk so you don't have to. Useful beats impressive—and staying employed is about as useful as it gets.

Comments

No comments yet.

Leave a comment

RELATED

Read next

All notes
Prompt Bench
Sep 28, 2026

How I Compare Two ChatGPT Answers Without Fooling Myself

An ordinary office worker shares a practical, tested six-step workflow designed to eliminate human bias when comparing competing ChatGPT prompts. Instead of trusting gut feelings or falling for recency and confirmation biases, this guide outlines how to pre-define strict win conditions, run identical inputs, count actual edits, and record objective verdicts. It demonstrates how a structured review process leads to better prompt engineering and reliable results.

Prompt Bench
Sep 27, 2026

“Make This Better” Is Not a Prompt: My First Failed Test

An ordinary office worker shares a revealing first-hand test of a common AI mistake: typing vague commands like “make this better.” Instead of helpful polish, the prompt produced generic fluff and diluted key facts. The guide breaks down why vague instructions fail, explains the pitfalls of unstructured AI output, and outlines a practical five-part prompt structure that saves actual working time on Monday mornings.

Prompt Bench
Sep 26, 2026

The Five-Part Prompt I Use When I Need a Useful First Draft

An ordinary office worker shares a reliable, tested five-part prompt structure designed to produce actually usable first drafts. Instead of vague commands or lengthy prompt engineering, the guide breaks down how role, task, context, constraints, and format work together to stop artificial intelligence from guessing. It highlights essential privacy precautions, strict rules against unverified facts, and practical ways to save real editing time on Monday mornings.