Our approach to AI employees

Your knowledge becomes more useful when you can share it. Our approach is to help you turn the way you work into responsibilities your AI employee can understand and help carry.

Context before requests

An employee needs to understand the business before it can do meaningful work for it. Intake comes first. Describe your customers, priorities, standards, and current friction. Then check its understanding before moving into a task.

Your judgment stays central

You decide what good work looks like and what requires approval. Start with work you can review comfortably. Clear boundaries make it easier to trust the process because you know where a decision returns to you.

Teach through real work

A specific correction is useful teaching: “Use our current service name and keep the opening to two sentences.” Confirm how the preference will be kept in your setup, then look for it in the next result.

Growth is a direction, not a promised timeline. Add responsibility when the work and your setup support it.

Build a rhythm you can return to

Use an occasion already in your week: after a client call, before a meeting, or during your weekly review. Give your employee one useful part of that work. Check it, use it, and repeat when the occasion returns.

Progress is a working relationship that helps you. A missed day is simply a place to resume.