AI Mastermind After Show · September 29, 2026 · Create Your Own Gravity
You can hand AI a question. You can also hand it a piece of your life. A client problem. A private fear. An idea that has not earned its first dollar yet.
What happens after you press send?
That question brought Yaz of goBare.AI into the AI Mastermind After Show with Joe “digital cowboy” Moore and Katrena Drake. With Jeff Valin supporting behind the scenes, the conversation moved from private chats to biological inspiration, founder decisions, and a principle worth carrying into every tool you use: stay the architect.
What you’ll discover
Why the question of who holds your AI conversations matters.
How a reassuring answer can become a substitute for useful criticism.
Why Yaz is looking to biology for a different approach to AI architecture.
How he describes goBare.AI and the separate work of Bare AI Labs.
The specific collaborator he wanted when this episode was recorded.
How to use AI to build understanding and preserve your own judgment.
1. The question behind the question
Katrena opened with a sharp invitation: what should you never tell ChatGPT or another language model? Yaz reframed it. His concern was less about a perfect list of forbidden prompts and more about the people, systems, and incentives surrounding the information already shared.
“Who is holding that data? What are they actually doing with it?”
Yaz · 3:31. Explore goBare.AI.
For a consultant or founder, that shifts the conversation from convenience to architecture. Before a tool becomes part of your daily work, the destination of the information deserves a place in the decision. Yaz discussed his concerns about retention, exposure, and business incentives; these are his perspectives from the interview, rather than a platform-by-platform assessment of current policies.
2. Comfort is not the same as clarity
Katrena asked why people might feel more comfortable talking to a black box than to a trusted human. Yaz described the appeal of an interaction that feels validating and carries little immediate social friction.
His own preference runs toward challenge: ask the system to test a thesis, consider an opposing view, and help improve the reasoning. The useful takeaway is a question you can bring to your next conversation: is this answer helping me understand, or simply helping me feel certain?
3. Biology as a design invitation
When Katrena asked what he was building, Yaz made an important distinction. He described foundational software architecture and a broader AI research effort, rather than simply another chatbot interface.
Biomimicry is his guiding idea. He talked about biological systems, spatial intelligence, and the possibility of doing useful computation with less energy. His ambitions challenge assumptions about the hardware and software needed to build AI.
The episode offers a window into that founder’s thesis. His statements about power savings and performance are reported claims from the conversation, not independently verified benchmarks. What makes the discussion compelling is the direction of the question: what could change if efficiency were foundational from the beginning?
4. A consumer product and a research frontier
Yaz described goBare.AI as the consumer-facing chatbot and Bare AI Labs as a separate research and development effort. He said the consumer system was designed around ephemeral conversations and described a goal of preventing chat storage.
That is his description of the product’s design. The larger story is the relationship between a user-facing experience and the infrastructure beneath it. One gives people something they can use; the other explores how the underlying system might work differently.
5. A clear direction can keep the team small
At the time of recording, Yaz said his immediate need was one hardware engineer who could complement his software work. The ask was specific because the direction was specific.
“Clear direction, precise decision making equals a small team.”
Katrena Drake · 29:19. Explore the Digital Cowboy conversations.
That line reaches beyond AI. Founders can spend months collecting tools and people before naming the constraint. Here, the next collaborator had a clear purpose. If the work resonates with you, explore goBare.AI and check the current opportunity directly.
6. Stay the architect of your AI usage
The conversation returned to human agency. Yaz encouraged using AI to strengthen skills and understanding, including explaining a subject at different levels rather than accepting an answer you cannot explain yourself.
“The best course of action that anybody can take is to become the architect of your own AI usage.”
Yaz · 31:37. Learn more about goBare.AI.
Joe connected that thought to language and leadership: the words you choose help shape what you build. The invitation is to keep your intention in the room as the machine expands what is possible.
Your words build worlds. Choose where you put them. Choose what you ask them to build.
Watch the full conversation inside the Territory
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