GrowthPath Partners LLC

Empowering Purpose-Driven Growth

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Your AI Tools Already Have Opinions About You

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Your AI tools are already forming opinions about you.

Granola just released its year-end wrap. Think Spotify Wrapped, but for your meetings. The AI analyzes your entire year of conversations and surfaces patterns, highlights, and personalized awards.

Jennifer Shawgo shared hers with me. Turns out Granola decided I’m “Most Likely to Convince You to Clone Yourself Digitally.” 😂

I laughed, then I sat with it for a minute. Pretty sure that award wasn’t in my high school yearbook.

A year ago, “build a digital twin” got raised eyebrows. “AI teammates” sounded like sci-fi. I wasn’t sure this message would land. Now even the AI taking notes has opinions about it.

That’s not about me. That’s about everyone who read a newsletter, tried something new, shared a framework with their team, or said “let’s figure this out together.” People like Jennifer, clients who took the leap, leaders who pushed past the skepticism, and this whole community.

The work is landing because people are doing it.

And it’s a good reminder that AI tools aren’t running quietly in the background anymore. They’re observing patterns across every conversation, every decision, every priority you discuss. You’re already training your AI teammates whether you realize it or not.

In 2026, AI will form opinions about you whether you’re paying attention or not. Being intentional about which ones is up to you.

If you want to start building your own digital twin and AI team, I linked the newsletter in the comments.

Thank you, Jennifer. This made my day. 😊

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My Christmas Wish: A Paid AI Subscription

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Still just sayin’ 😅

Maybe there’s a paid AI subscription waiting under the tree this year? 🎁🎄🎅

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Beyond Pilots: The New Reality of Enterprise AI

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The number of people using Custom GPTs and Projects in the enterprise has increased 19x since the start of the year. This isn’t a pilot anymore.

OpenAI just released their State of Enterprise AI report based on anonymized usage data and worker surveys. It validates what we’ve been seeing across teams for months: the gap between companies getting results and everyone else is growing.

OpenAI calls the leading companies and workers “frontier” (the 95th percentile). Frontier firms send 7x more messages to GPTs than median firms.

What’s different about them:

They’re building AI teammates, not just using AI tools.

20% of all enterprise messages now go through a Custom GPT or Project. Teams are building shared tools that hold their knowledge, guidelines, and expertise.

They have trailblazers leading the way.

Every team getting results has people who spot problems AI can solve and take action. They show what’s possible through quick wins and bring their coworkers along.

AI isn’t a side activity anymore. It’s how they work.

The leading teams have made it part of their everyday workflows. They’re finding ways to use AI across more tasks and building from there.

The report also shows 75% of users can now complete tasks they couldn’t before. That’s the real opportunity. They’re not just doing the same work faster, but doing work that wasn’t possible before. As they say, we can’t reimagine the future by simply automating the past.

I cover AI teammates, trailblazers, and practical adoption strategies in my newsletters. Links in the comments, including the OpenAI report.

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Hands-On AI: Building Teammates at GHX

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The body does what the mind believes.

A few weeks ago, I ran a virtual applied AI session with GHX on how customer buying behaviors are shifting, AI use cases, and what human + AI orgs look like in response. Yesterday, we got in a room together to build.

In four hours, teams moved from using AI as a tool to building AI teammates to designing workflows where those teammates hand off work to each other.

Here’s the approach:

  • Inspire with real use cases so people can see what’s possible in their roles

  • Give clear guidance on how to build responsibly

  • Get hands on keyboard in teams

  • Share what worked, what didn’t, and what surprised you

Teams built AI teammates for personas, lead qualification, brand alignment, and content creation. Then they started mapping entire systems: which teammates they need, how work flows between them, what knowledge each one draws from.

Half the room was early-career professionals in GHX’s ACE (Accelerated Commercial Excellence) program, a GTM rotation across product, marketing, sales, and CS. GHX is investing in their people’s careers, including those just getting started.

The hardest part of this work isn’t AI. It’s us humans. Meet people where they are. Bring them along with grace and compassion.

Transformation happens everywhere: SF, NY, Atlanta, Manila, Barcelona, and yesterday, in my backyard in Louisville, CO, just 3 miles from home.

Thank you to Bryan Bowles for championing this work, and to Susan (Williams) Scorby, Brian McNally, and Kevin Cochran for bringing it together.

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AI Sales Training: The Hardest Room Simulator

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I built a simulator where three AI customer stakeholders debate an AI sales rep in real time. Then it grades the AI rep’s performance and coaches them on what to do next. See the 40-sec demo below.

IT wants security. Finance wants ROI. Travel wants ease of use. They interrupt each other, push back, and argue while the AI rep tries to get them all to yes.

This is a tough scenario by design. A group demo where competing priorities clash. In real life, reps sometimes get 1:1 time with each stakeholder. But training for the hardest room makes the easier ones feel manageable.

The human rep doesn’t participate. They watch, observe, and learn. It’s sales training where your team sees how messaging lands against realistic buyer dynamics without the pressure of a live deal.

Run it twice and you get a completely different conversation. Every response is a live AI call, not a script.

Here’s the starting prompt:

“Please build a simulator where an AI sales rep presents to a buying committee of 3 AI stakeholders based on the attached strategy document. They should react, interrupt, ask tough questions, and debate each other.

Every response should be a live AI call, not scripted, so each run produces a different conversation. I want to watch, not participate.

At the end, show me which stakeholders are sold, which aren’t, and why. Then grade the AI rep’s performance and give coaching: what worked, what they missed, and suggested next steps.”

Your strategy doc does the heavy lifting. The personas, objection handling, and value props you already built become the AI’s playbook. Garbage in, garbage out.

The first version won’t be perfect. Review what it builds and refine from there. Sometimes that means adjusting the prompt. Sometimes it means improving your strategy doc. Either way, you learn something useful.

Try the simulator yourself and read the full breakdown in my latest newsletter. Links in the comments. Share with us what you think.

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