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Defining and teaching quality How do we keep our work high-quality, even when AI is part of making it?

Most teams know good work when they see it, but few have ever written down what makes it good. We help your team put your standard into words, using your own work, and then practice holding everything to it.

Plan a workshop with us

The problem

Your team has a standard, but it’s never been written down. While AI-assisted work gets the job done, it’s not the quality you want to see.

  • Copy and emails that are fine, but read like AI
  • A few people catch the misses, and everyone else doesn’t see them
  • Reviews turn into rewrites, and the time AI saved is gone

Our point of view

Quality has always been hard to define, let alone teach. Now that most teams use AI in their work (as they should), the gaps in how a team sees quality are easier to recognize. People have different ideas of what good looks like, and a lot of work just feels like AI. We help your team define what good looks like, align on it, and learn to recognize it and apply it.

What it covers
Anything your team makes, including brand copy, emails, internal docs, presentations, and visuals
What it is
A hands-on session built around your team’s own work
What it isn’t
A brand guidelines rewrite, a prompt-writing class, or a technical testing program

How it works

Before
We gather examples of your team’s work.
In the workshop
Your team works out what good looks like for you, and practices spotting it.
After
Within 3 days, you get everything written up for your team to keep using.

What you leave with

Quality framework
What good means for your work and your brand, including what makes something feel like AI
Example library
Your own work, annotated so anyone can see the difference
Practice set
Exercises for bringing new people up to speed

When to run it

  • AI-assisted work is going out to clients
  • Your brand voice has started to feel flatter
  • Your senior people spend more time redoing than reviewing
  • You’re growing faster than people can pick up the standard on their own
  • You’ve adopted AI, and no one is sure whether the work got better or worse

Where it leads

Feeding how you work into your AI systems. Your quality framework becomes the instructions your agents follow, so the first draft starts closer to good.

Let’s get started.

Tell us about your team.

We use your note only to reply to you. See how we handle it.

AI principles for your team

How does your team want to use AI in its work, and where should it not?

Setting up Claude Code for your team (beginner)

Is everyone on your team using Claude to build instead of just prompt?

Setting up Claude Code for your team (advanced)

Is your team’s AI use still working one person at a time?
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