Ask ten people on the same team to have AI draft a welcome email, and you'll get ten companies. One sounds like a law firm. One promises a service you stopped offering. One quotes last spring's pricing.
Each of those people gave the model a different idea of who you are, or no idea at all, and the model did what models do with a gap. It guessed.
The usual fix is a shared prompt library. That helps with the task, but a prompt tells the AI what to do. It doesn't tell the AI who you are.
How do you give a whole team the same AI context?
Write what your organization knows into a small set of plain-text documents, name one person as the owner, and load those documents into every AI tool your team uses. Everyone then starts from the same facts, voice, and priorities. Keep the originals outside any single tool, limit who can edit them, and let everyone else read and copy.
Four decisions cover most of it.
| Decision | A good default |
|---|---|
| What goes in | Who you are, how you sound, what's current, and who you serve |
| Where the original lives | Plain files in a shared folder, outside any one AI tool |
| Who can change it | One owner and one backup |
| How people get it | Shared projects, GPTs, or Gems, plus copy and paste for everything else |
Why does everyone's AI give different answers?
Because each person's AI works from that person's context. Their custom instructions, their chat history, whatever they pasted in that morning. A new hire's ChatGPT has never heard what your marketing lead told Claude, and every new chat starts from zero unless something carries the context forward.
And the list of tools is probably longer than you think. In a June 2026 PagerDuty survey of 1,250 office professionals at large companies, two-thirds said they'd used AI tools at work while believing company policy didn't allow it. It's a vendor survey, so take the exact number lightly. The practical point holds anyway. Context locked inside your one approved tool misses everyone working somewhere else.
Plain text reaches all of them. That's why the original belongs in a file, and why every AI tool only ever holds a copy.
What should go in shared team context?
Everything a new hire would need to write on your behalf in the first week, and nothing only one person should see.
Six kinds of knowledge cover most organizations:
- Who you are. Your mission, your values, and what you won't do.
- How you sound. Voice rules, with real examples of your writing.
- Your stories. Customer wins, your origin, and the proof you repeat.
- This quarter. Priorities, offers, and what just changed.
- Your history. Where you've been and where you're headed.
- Who you serve. Your customers, and who's who.
What you leave out matters just as much, because people with access can read what's in there. Google says so directly in its Gem sharing guide: "Any Gem instructions and files that you have uploaded to the Gem can be viewed by any user with access to the Gem." Claude works the same way for people with view access. So keep salaries, client records, and private plans out of it. If it wouldn't go in an all-hands email, it doesn't go in the shared set.
Keep it short, too. More context isn't always better, and the same limits apply to a team as to a person.
Here's what the top of one file might look like, using a made-up firm:
# About Ridgeline Bookkeeping (updated 2026-11-06)
## Who we are
Bookkeeping for trades businesses. Clients know their
numbers by the 5th of every month.
## How we sound
- Plain answers, no accounting jargon
- Use the client's first name, never "valued customer"
- Own a mistake the same day and say what changed
## Rules for every draft
- Never quote a price. Link to the pricing page
- Say that questions are never billed
## Right now
New client onboarding pauses in the last two weeks of March.
A few lines like these, and those ten welcome emails start to sound like one firm.
How do you share context in ChatGPT, Claude, and Gemini?
All three have a sharing feature now, and the access levels are the part to get right.
| Tool | How to share | Who can change it |
|---|---|---|
| Claude | A project shared with named people or your whole organization, on Team and Enterprise plans | "Can edit" members. "Can view" members can chat but not edit |
| ChatGPT | A shared project, or a custom GPT shared with your workspace | Depends on the access you grant |
| Gemini | A shared Gem | Editors. Viewers can use the Gem and see its files |
| Anything else | Paste or upload the file | Nobody. It's a copy |
Three things worth knowing before you click share.
Default most people to view access. Google's guide warns that anyone with edit access to a Gem can update or delete it, and those changes can alter the answers everyone else gets.
Shared context doesn't have to mean shared conversations. Anthropic's guide says that even in a public project, "your chats within that project will be private and inaccessible to other members of your organization unless you manually share them." It's a fair worry, so check how it works in whichever tool you use.
And your admin may hold the keys. Owners can turn off project sharing in Claude, and Google Workspace organizations can disable Gem sharing. If the button's missing, that's likely why. Menus and plans shift often, so confirm the details in each tool's current help pages. Our guides to Claude Projects, ChatGPT Projects, and Gemini Gems cover the setup. If your CRM has its own AI, the same documents can feed its settings. HubSpot calls this layer Growth Context.
Who should own your team's AI context?
One named person. Usually that's whoever knows the organization best and will actually do it: a founder, a marketing lead, an operations lead. Add one backup for vacations.
The thing is, a document everybody owns tends to become a document nobody updates. It also collects contradictions, and a model handed two versions of a rule has no way to know which one you meant.
Everyone else has a different job. They read, they copy, and they report what's wrong. Give them one place to flag it. If someone corrects the AI on the same fact twice, that's a bug in the document, and the owner should hear about it.
How do you keep team context current?
Documents age at different speeds. Who you are holds for years. This quarter's priorities hold for weeks.
So date the top of every file, review the fast-moving ones at least quarterly, and add a trigger for the big moments: a new offer, a price change, a reorganization. Always change the original first, then refresh the copies. Keep a short list of where those copies live, because a project nobody remembers will keep giving confident answers from old facts.
Our guide to keeping context from going stale breaks the routine down layer by layer.
How does team context fit with each person's own context?
Think of it as two layers. The company layer holds the facts and the voice, and everyone shares it. The personal layer holds how one person works: their role, their decisions, and their own writing. That one stays with them.
Load both where they help. When they conflict, let the company document win on facts and brand, and let the personal one win on working style. Write that rule down in one line, so the model doesn't have to guess.
The personal side has its own set of documents.
Anyone on your team can start with the free Personal Constitution, which covers how they think and decide.
Where to start
Start with one page. Write down who you are, how you sound, and what's true this quarter. Then run the test: two people, two tools, one identical request. Where the answers disagree, the document has a gap, and now you know where it is.
If you'd rather not start from a blank page, RUMO for Teams does this as a guided build. One admin answers the questions, RUMO drafts six company anchors, and everyone copies or downloads them into the AI they already use.
Then ask those ten people for that welcome email again.
Frequently Asked Questions
- How do I get my team to use AI consistently?
- Give everyone the same starting point. Write your organization's facts, voice, and current priorities into a few short plain-text documents, put one person in charge of them, and load them into every AI tool your team uses. Consistency comes from shared context, because each person's AI otherwise works from whatever that person happened to tell it.
- What should be in a company AI context document?
- Everything a new hire would need to write on your behalf in the first week: who you are, how you sound, the stories and proof you repeat, this quarter's priorities, your history, and who you serve. Leave out salaries, client records, and anything not everyone should see, because people with access can usually read the files.
- Can ChatGPT, Claude, and Gemini share instructions across a team?
- Yes, on the right plans. Claude Team and Enterprise can share projects with named people or a whole organization. ChatGPT offers shared projects and custom GPTs shared to a workspace. Gemini lets you share a Gem with Viewer or Editor access. Admins can restrict these features, and the details change, so check each tool's current help pages.
- Who should own a team's AI context?
- One named person, usually whoever knows the organization best and will actually keep it updated, such as a founder, marketing lead, or operations lead. Add one backup. Everyone else should read, copy, and report what's wrong. Spreading edit access widely invites conflicting changes, and a document everybody owns tends to be a document nobody updates.
- Should team members still have their own personal AI context?
- Yes. Company context covers the organization: its facts, voice, and priorities. Personal context covers the individual: their role, how they work, and how they make decisions. Keep the two separate and load both where they help. When they conflict, let the company document win on facts and brand, and the personal one win on working style.




