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Your team is using AI. They're not operating with it.

Half your team is experimenting. The other half is waiting. Nobody has a shared way of working with AI. You don't need more tools. You need a method your whole team can follow.

See the method

The gap

There's a difference between using AI and operating with it.

Using AI

  • A few people experimenting on their own
  • No shared language or process
  • Results depend on who's doing the prompting
  • No way to measure what's working
  • Knowledge stays locked in individual heads

Operating with AI

  • Every team member follows the same method
  • Shared playbooks for your highest-leverage processes
  • Results are repeatable and improvable
  • Clear metrics on time saved and quality gained
  • Knowledge compounds across the whole team

2,000+

people trained

50+

companies

The gap is forming inside your team right now.

One or two people on your team are pulling ahead. They're using AI daily, shipping faster, thinking differently. The rest are where they were six months ago.

The longer this gap stays open, the harder it gets to close. The early adopters build habits the rest of the team can't follow. Processes diverge. Frustration builds on both sides. And the people who "get it" start to wonder why they're still explaining the basics.

You've probably tried the obvious things. Bought licenses. Shared articles. Maybe ran a lunch-and-learn. But none of that gives your team a shared operating model. It gives them more inputs with no system.

"This was never a tool problem. It's an operating problem."

The companies that pull ahead aren't the ones with better tools. They're the ones that build a method everyone can follow. A shared way to identify where AI fits, build it into real workflows, and measure what's actually working.

That's what AMP builds with your team.

See exactly how a team crosses the gap.

Watch a short walkthrough of the method, how it works inside a real team, and what the first 30 days look like.

No pitch on the video. Just the method, and what it looks like in practice.