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In the early days of our AI journey, we realized a hard truth: AI is only as smart as the context you give it. If you ask a generic question, you get a generic answer. But our family isn’t generic. We have different learning styles, different “Tuesday night” energy levels, and different lines in the sand when it comes to ethics.

To solve this, the Model Council helped us develop something professional designers and world-class companies have used for decades: Persona Profiles.

What is a Persona Profile?

In the professional world, a persona is a research-based “archetype” of a user.

• In Design: UX designers at companies like Airbnb create personas like “Shirley the Dinner Party Host” to ensure their app feels welcoming and intuitive for someone who loves hospitality.
• In Marketing: Spotify uses personas like “The Discoverer” to decide which songs to put in your “Discover Weekly” playlist.
• In Education: Teachers use “Learner Profiles” to understand a student’s “Zone of Proximal Development”—that sweet spot where a task is challenging enough to teach, but not so hard it causes a meltdown.

For us, a Persona Profile is our AI Identity Card. It tells Gemini exactly who it is talking to, how they learn best, and what their “Superpowers” are.

Why This Matters for the WeUsed Mission

Our mission is to build capability and confidence.

• Capability: You can’t be “capable” if the AI does all the work. The profile ensures the AI acts as a scaffold, providing hints and mental models rather than just the final answer.

• Confidence: Confidence comes from knowing the tool “gets” you. When the AI remembers that you’re a visual learner who only has 20 minutes on a Tuesday night, the friction disappears. You stop fighting the tool and start using it to amplify your life.

The “WeUsed” Process: How We Did It

We didn’t just write these profiles ourselves; we used the AI to help us see ourselves more clearly. Here is the high-level workflow we developed:

1. The Expert Interview: We turned Gemini into a “Master Ethnographer.” Using a specific set of instructions, Gemini conducted a voice-based interview with each family member. It asked about our interests, our tech-anxieties, and our “Line in the Sand” (what we think is ethical vs. what feels like “cheating”).
2. The Synthesis Engine: We took the raw transcript of those conversations and fed them back into a specialized “Synthesis” prompt.
3. The Golden Template: The AI mapped our answers into a structured 5-part template covering:
   • Core Identity: Our “Bio-Snippet” and goals.
   • Cognitive Style: How we process info (Visual? Logical?).
   • Agency Guardrails: Our personal rules for human-AI collaboration.
   • Technical Footprint: Our current skill level.
   • The Tuesday Night Reality: Our actual bandwidth for projects.

The Result

We now have a “Human-AI Partnership Profile” for every member of the family. These aren’t just static documents; they are the “Ground Truth” we will use for every project on this blog. Whether we are coding a game or researching a history project, we start by giving the AI our profile.

The result? The AI stops being a generic bot and starts being a personalized coach.

The Setup: The “Big Idea” Trap You know that feeling when you have a massive idea, but you have zero clue where to start? My dad had one of those. He wanted our family to stay on the “crest of the wave” of AI (his words, not mine), but he realized that being a “visionary” is actually just a fancy way of saying “I have a lot of work to do.”

Instead of stressing out, we decided to see if we could use AI to build the very team we needed to help us.

The Move: Double Amplification We didn’t just ask Gemini a question. We used Gemini to build a Model Council—a group of five “best-in-the-world” AI experts tailored specifically to our family. It’s like creating a custom Discord server where every member is a genius.

Here’s who we “hired” (aka, the custom instructions we programmed):

1. The Learning Scientist (@Scientist): The one who makes sure we’re actually getting smarter, not just lazy.
2. The Applied Ethicist (@Ethicist): The “integrity guard” who makes sure we aren’t accidentally cheating or leaking our private data.
3. The Tech Architect (@Architect): The Google DeepMind superfan who knows exactly which Gemini model to use for every task.
4. The Storyteller (@Storyteller): The one writing this right now.
5. The Family Advocate (@Advocate): The reality check who makes sure these projects don’t take 5 hours on a school night.

🎙️ The Council Huddle: Our First Meeting

To test them out, we asked the Council how we should start this whole project. Here’s the “huddle” that happened:

• @Scientist: “Don’t just use AI to write your essays. Use it to build a ‘mental model’ of the topic so you can crush the exam without the AI’s help.”
• @Architect: “We’re sticking with the Google Ecosystem. We’re going to use Gemini’s 2-million-token window like an infinite whiteboard for our family projects.”
• @Ethicist: “If we use AI to help with school, we’re going to be 100% transparent about it. No ‘closet-cheating’ allowed.”
• @Advocate: “Listen, we have soccer at 6 PM. If a project takes more than 30 minutes, I’m vetoing it.”

The Verdict: Was it worth it? 100%. Usually, when you start a big project, you spend weeks wandering around. By building the “Model Council” first, we created a system where we can get expert advice in seconds. We aren’t just using AI; we’re orchestrating it.

🛠️ The weused.ai Field Note: 001

The Challenge: Turning a broad vision document into an actionable operating model. The Tech Stack: – Model: Gemini 1.5 Pro

• Tool: Google Gemini (for crafting the “Master Gem”)
• The Safety Sidebar: We made sure to include a “Data Privacy” rule in our Ethicist’s instructions so our family stories stay within our control.
• Friction Score: 3/10 (Setting up the instructions takes a minute, but once it’s done, it’s instant).
• Try This Tonight: Go to your favorite AI and say: “I want you to act as a council of three experts: a NASA engineer, a professional gamer, and a high school teacher. I have a problem: [Insert your problem here]. Huddle and give me three perspectives.”

Next up: We’re taking the Council into the lab to tackle the “College Major” dilemma. Stay tuned.