What’s Next for Your Team

[VIDEO] Watch the closing video above, then read the notes below.

You Did Something Most Teams Don’t

Most teams talk about AI maturity. You measured it. That’s a different thing entirely.

You now have five numbers that describe where your team is operating today across the disciplines that determine whether AI creates compounding value or compounding rework. That’s a meaningful advantage — if you use it.

Three Things Worth Doing Right Now

1. Share your results with someone. Your score has the most value when it’s in conversation. Share it with your manager, your team, or a peer who’s asking the same questions. The discussion it prompts is often more valuable than the score itself.

2. Identify your lowest-scoring dimension. Not your overall level — your lowest single dimension. That’s your floor. Floors set ceilings. One dimension improved meaningfully changes the shape of your entire score.

3. Make one commitment. Not a plan. Not an initiative. One specific thing your team will do differently in the next two weeks. Small and concrete beats ambitious and abstract.

If You Want to Go Faster

If your team is at Level 1–3 and AI is genuinely strategic for your organization, a structured intervention can dramatically accelerate your development — not generically, but for your actual context, your actual workflow, and your actual people.

There’s no pitch here. If what you’ve learned in this assessment has clarified a gap you want to close, I’d be glad to have a conversation about what that could look like.

Schedule a 45-minute conversation with me → https://tidycal.com/talk-to-david/consultation-with-david

About David Scott Bernstein

David is the author of Beyond Legacy Code and co-author of Prompt Engineering for Everyone. He works with software development teams and leadership organizations to build the disciplines that make AI collaboration reliable, measurable, and sustainable.

“I believe AI can be a true collaborator — not a tool, but a teammate who thinks with you. But that kind of collaboration doesn’t happen by accident. It requires discipline, shared practice, and a genuine commitment to seeing clearly.”