GrowthPath Partners LLC

Empowering Purpose-Driven Growth

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Beyond the Title: Inspirational Women in AI & Web3

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Fei-Fei Li. Daniela Amodei. Melanie Perkins. And somehow… me.

Being named to the Most Inspirational Women in AI & Web3 list matters to me. Not because of the title, but because of what it represents: more of us showing up, getting seen, and making space for others.

Congrats to all the women on this list, including the incomparable Sandy Carter (Chief Business Officer of Unstoppable Domains) and Christine / Chris Heckart (Founder of Xapa). Proud to be in this company.

Link to the full list in the comments.

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AI for GTM Teams: Simulate Strategy & Buyer Meetings

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Too busy during the week to keep up with AI but too curious to ignore it?

I turned my latest newsletter into a 6-min AI video explainer (below) and a 12-min AI podcast. Same content, different format. Watch while you drink your coffee or listen while you walk the dog.

This one covers a new AI use case I’m seeing with GTM teams: turning strategy docs into training simulators where AI personas debate each other live. Then it coaches you on what worked and what didn’t.

Also covers simulating a buying committee meeting to see which stakeholders are bought in and which ones aren’t.

Links in comments.

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My Personal AI Stack: My Evolving Multi-AI Workflow

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Sam Altman just called “code red” at OpenAI. Google’s Gemini jumped from 450M to 650M monthly users in three months. Anthropic is winning enterprise customers. The AI race isn’t slowing down.

What I find more interesting than the headlines is how people are actually using these tools day to day, especially those who use a variety of AIs. Here’s my current AI mix and what I typically use each one for.

  • 50% Claude for strategic thinking, collaboration, Projects, vibe coding apps, AI-powered simulation apps, infographics, frameworks, interactive models

  • 20% Gemini/NotebookLM for collaboration, deep research, Gems, learning (AI podcasts and video explainers), AI in Google Workspace, images (image below is courtesy of Gemini Nano Banana Pro)

  • 20% ChatGPT for collaboration, custom GPTs, chained GPTs in workflows, agent mode, images, advanced voice mode with video. (I lump Microsoft Copilot and Studio in here because it’s built on top of ChatGPT.)

  • 10% Perplexity for daily, ad-hoc search

I’ve been a heavy Claude user for 2+ years, but I recently upgraded to Claude Max ($100/month) because it’s become a workhorse as a thinking partner.

That said, I’m not loyal to any single tool. I’m pragmatic. The best tool for the job wins, and that changes fast. But honestly, I get the best of all worlds because we have complementary superpowers and overcome each other’s weaknesses. I guide and orchestrate them as a team.

Case in point: I asked all three to pick the image for this post. They all disagreed. Which is exactly why I orchestrate them instead of picking a favorite.

Then there is video. I don’t do much of it yet, but Sora and Veo are both getting impressive. If that becomes part of my workflow, the mix shifts.

The bigger point here is your AI tech stack is personal. It depends on the work you do, your strengths and gaps, your budget, your preferences, and yes, what your company allows. There’s no single “right” answer.

And with these tools leapfrogging each other constantly, expect your mix to keep evolving. Google’s on a tear with Gemini in Google Workspace and Studio. My mix is about to change again! 🙂

I’m curious… what does your AI mix look like right now? And how has it changed in the last few months?

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Thinking Systems: AI Interacts, You Learn

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I watched two AI personas argue about a product while one played a skeptical buyer. Then AI told me what the rep did wrong.

Took less than five minutes to build. No code. ChatGPT, Gemini, and Claude can do this with some differences on how the output is rendered and shared.

This is what I’m calling a thinking system. It’s AI using AI. You set up the scenario, and AI-powered personas interact with each other, each response a live AI call. You’re not driving. You’re watching AI talk to AI while you learn.

The economics of this kind of training didn’t make sense before. Now anyone can build it.

There are two modes of building with AI right now:

  • Knowledge tools – you drive the conversation. AI assesses, advises, creates.

  • Thinking systems – AI invokes AI. You observe, learn, get coached.

Both enable work that wasn’t possible before. The difference is your role.

Key insights:

  • Knowledge tools put you in the driver’s seat. Thinking systems are AI using AI. You set up the scenario, AI-powered personas interact, each response generated live. You observe and learn.

  • Strategy docs, playbooks, and research reports can become systems that train, coach, and challenge your team. Documents your team created but rarely uses are full of expertise waiting to be activated.

  • You don’t need to be technical. Describe what you want, upload a document, and let AI build the system. Refine from there.

  • Using this approach can build a significant advantage as AI capabilities expand. Learning to think in terms of “what systems could I design?” is the skill that keeps paying off.

Thank you to Jennifer Pockell Dimas (CMO at Telarus) and Mary Gilbert (Kerford) at (Founder of InfiniteEdge) for sharing their perspectives on what this shift means for GTM teams.

See the full breakdown, a working demo you can try, and practical steps to build your own in the newsletter below.

I also shared a Buying Committee Simulator example. Super interesting to see who’s bought in and and who’s not after a meeting with the sales rep.

I created an 6-min AI video explainer and 12-min AI podcast versions (links in comments) of the newsletter using NotebookLM to cater to different learning styles. I reviewed these AI outputs personally for accuracy and to ensure responsible use. Check them out. This tech is advancing dramatically to help with learning.

Would love to hear your thoughts. If you found this helpful, please subscribe and share.

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OpenAI’s Code Red: Claude Builds AI Debate System

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OpenAI just called a “code red” to improve the quality of ChatGPT as it feels the heat from Google and Anthropic. (see link in comments to the WSJ article)

Case in point, Anthropic’s Claude let me build something in five minutes using plain English that wasn’t possible before: a system that thinks, simulates a live debate, and makes teams better in the process. It’s AI using AI.

Below is 10 seconds of what that looks like. The full story drops in my newsletter tomorrow.

Subscribe using the link in the comments to get it directly in your inbox.

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