Context is King
Good prompting gets you good outputs. Context is what makes AI feel like it actually knows you.
The problem with prompting alone
Even with a well-structured prompt, you're starting from scratch every time. The AI knows nothing about your business, your clients, your tone, or what "good" looks like for you.
So you explain it. Every single session.
"I'm the founder of a sustainable food brand targeting premium independents. Our tone is warm but direct — not corporate. We're known for…"
You've written that paragraph 40 times. And every time you don't write it, you get something generic.
That's the ceiling of prompting on its own.
What Cowork changes
Cowork fixes this at the root. Instead of explaining yourself in every prompt, you write it once — in a set of context files that Claude reads before every session.
Your business. Your tone. Your clients. Your priorities. All loaded automatically, every time.
Without context:
"Write a follow-up to the Waitrose buyer. I'm a founder at a sustainable food brand. We met at [explain]. Our tone is [explain]. They seemed interested in [explain]…"
With context in Cowork:
"Write a follow-up to the Waitrose buyer from Tuesday."
Same output quality. A fraction of the work. Because everything Claude needed to know was already there.
What context looks like
Context lives in a folder Claude reads from every time you work with it. A typical workspace has:
- A few markdown files at the root (about you, your business, your tone, your working style, plus standing instructions)
- Folders for projects, clients, and any other ongoing context
The exact files and folders we use are described in detail at CoWork setup →. The point of this page is the concept: AI is only as good as the context it has, and context files are how you give it.
What good context enables
Once those files are in place, Claude can do things that feel qualitatively different:
- Write in your voice without being told how you write
- Know which client is which without you explaining the relationship
- Understand the stakes of a task because it knows your business
- Make sensible judgements — because it understands the situation
You stop briefing. You just describe the task.
Adding project context
Beyond the baseline files, you can add context for specific projects — a subfolder per client or initiative, with the brief, relevant emails, reference documents, whatever Claude needs to work on it properly.
Pull in a Granola transcript from a client meeting and Claude can draft follow-ups, extract action items, or prep for the next conversation — with the actual record of what was said, not just your memory of it.
The more relevant context you give it, the less work you do to get a good output.
The shift
Most people who use AI get stuck at "occasionally useful." They write a prompt, get something decent, move on. Next session, back to zero — the AI has no memory, no understanding of who they are.
The people who find AI genuinely transformative have crossed a different line: they've given it enough context that it can think alongside them.
Not instead of them — with them. Knowing the audience, the stakes, the constraints. Making good judgements because it understands the situation.
That's what the Cowork setup builds. Go there next.
A good test: could someone read your context files and understand your business well enough to help for a day? If yes, Claude can too.