#ailikeagirl
AI Like a Girl
Master the machine. Architect the “How.” Lead the way.
Equipping her to own her place in the Intelligence Age.
Join Us — Summer 2026
#ailikeagirl
Equipping her to own her place in the Intelligence Age.
Join Us — Summer 2026
This isn’t summer camp. It’s the week she starts seeing the world differently. In a landscape governed by algorithms, we’re planting the seed — so she grows up building, not just scrolling. When AI reshapes every corner of our lives, she won’t be watching from the edges. She’ll be holding the pen.
Here’s how.
She moves from a passive consumer to a technical strategist.
You can’t lead what you don’t understand. We go under the hood to demystify how models learn and what training data actually represents. When she understands why an algorithm prioritizes one voice over another, the “black box” disappears—and she starts making informed decisions about when and how to use these tools.
“Who trained this? Whose data was used? Who benefits—and who is left out?”
These aren’t just questions; they are her terms of engagement. She isn’t just learning to use the system—she’s learning to interrogate it. By seeing what’s hidden beneath the surface, she stops being a passive user and starts asking the right questions about how these tools work.
She walks out a builder — with a project she can defend and a process she can repeat. Find a problem worth solving, figure out where AI helps, build, test, iterate. Demo Day isn’t the finish line — it’s the starting gun.
We select the most powerful, current tools and level-appropriate challenges for each cohort—then let the girls drive.
Her week follows a rigorous 5-Step Arc:
1. Problem Hunting. Decoding real-world spaces to find where AI can actually provide a solution.
2. System Design. Designing the “How”—defining the users, the necessary data, the logic used, and the initial ethics checkpoint.
3. The Build. Prototyping with AI as her build partner—moving from concept to working product.
4. Stress Testing. Interrogating the model to find where the logic fails, where the data is biased, and where the machine hallucinates.
5. The Verdict. Presenting her final blueprint and her build on Demo Day.
The AI Report Card.
On Demo Day, she presents her AI Report Card — her honest assessment of what the AI got right, where it failed, and what only her team could do.
She doesn’t just use the tool. She reviews it.
Small groups. Real conversations. We’ve created a space to ask the questions that turn complex technology into something she can reason about. While every girl learns the core principles of AI literacy, the depth and pace of the challenge scale with her.
The week ends with Demo Day—the moment where the prototype meets its first stakeholders: the parents.
Master the Mechanics. Designed for curious minds taking their first real look under the hood. The pace is high-energy, playful, and hands-on, focusing on demystifying the “magic” of AI through discovery and creation.
Same structure. Deeper water. Teams, projects, AI as co-pilot — the format mirrors Explorers. The difference is complexity. Older girls tackle harder problem spaces, dig further into the “why” behind AI decisions, and are held to a higher standard of critical thinking.
// the experience
Not at all. We start with curiosity, not prerequisites. While AI is built on code, leading AI is built on logic, systems thinking, and critical inquiry. If she can ask a sharp question, she has all the tools she needs to begin.
Because we are a living laboratory, we select build tracks—ranging from technical audits and bias detectors to AI-powered creative tools—based on what is most relevant in the current AI landscape. Every girl walks away with a functional prototype she designed and an AI Report Card she can defend.
Both cohorts are designed as a 10-hour intensive, spread over 5 days (Monday–Friday). We prioritize intensity over endurance—two hours a day ensures she stays engaged and high-energy without burning out.
We invite parents (our “Stakeholders”) to join us for the final 45 minutes of the Friday session. This is the “boardroom” moment where she presents her AI Report Card and demos her build. It is the moment the shift from audience to architect becomes visible.
// pricing
The cost is $299 per week. This includes all materials and snacks.
Full refund (minus a $25 administrative fee) if cancelled more than 14 days before the session. 50% refund within 14 days. No refunds once the week begins. If we cancel a session for any reason, you receive a full refund.
// logistics
We keep cohorts intentionally small—around 15 girls per session. This ensures the environment is intimate enough for real debate, personalized mentoring, and high-velocity building.
Our 2026 cohorts are exclusively in-person in Steiner Ranch, Austin, TX. We believe the “tech bubble” is best bridged through eye-to-eye collaboration and the physical energy of a shared workshop.
Nimisha Saboo (Meta, Microsoft, Amazon) and Tushar Bhatia (McKinsey, Microsoft). Between us, 30+ years in tech, AI, and product strategy—and a 10-year-old daughter who inspired the whole thing. Both adults are present for every session.
Her Mobile Workstation: Please send her with a laptop and charger she is comfortable navigating.
Fuel for Systems Thinking: Deep work requires high energy. We ask that she has a healthy, substantial breakfast before arrival.
Clean Energy & Hydration: We provide a selection of parent-approved, healthy snacks. Please send her with a reusable water bottle.
Yes. She should bring a laptop she’s comfortable using for everyday things—typing, opening apps, navigating a browser. No special software is needed; we’ll send setup instructions before the lab starts.
// privacy & data
We don’t believe in building in a bubble. Our goal is to arm girls with the skills they need to navigate the actual AI landscape, not a sanitized version of it.
The “Real-World” Principle: We prioritize a high-utility learning experience using industry-standard tools.
Thoughtful Data Utility: We teach the girls that every prompt is a data exchange. We encourage them to be intentional about what context they provide—learning to decide what information is necessary to make a project work and what is better left private.
Unlocking Personalization: The true power of AI lies in personalization. To get genuinely useful results, girls must learn how to provide the right context. We treat data as a building material—something to be used with precision and intent, not given away carelessly.
We treat this as a core teaching moment. Most consumer AI platforms default to using inputs for model improvement.
The Technical Audit: We incorporate privacy and data literacy into the building process. We discuss the “Data-for-Utility” trade-off in real-time, helping the girls understand how to navigate the platforms they use.
Parental Partnership: If the lab experience requires parent-verified accounts, we view this as an opportunity for families to define their own boundaries. Our role is to provide the technical context so you can make those choices with confidence.
// the open channel
You aren’t alone—63% of our parents have explicitly asked for their own seat at the table. While our current focus is on the girls, we are in the lab designing The Parent Circle—an AI strategy session specifically for adults. We’ll share more as the blueprint comes together.
The AI landscape moves fast, and we are happy to help you navigate it. If you have specific questions about your daughter’s readiness, technical requirements, or the curriculum, reach out to us at build@ailikeagirl.com.
It was a simple question from my daughter. But as I started to answer, I realized that even after 20 years building technology at Meta, Microsoft, and Amazon, the answer wasn’t simple at all.
My day-to-day job is shaping the evolution of AI. I spend my time in the “tech bubble,” designing the infrastructure that defines how these systems think and scale. But in that moment, I realized the bridge between that bubble and our community—and specifically our daughters—doesn’t exist yet.
If the people building the future of AI can’t explain it to the next generation, we aren’t just leaving them behind; we’re leaving them without a map.
I posted a simple question to a group of Austin moms to see if I was alone in this. The response was a mandate.
100+ comments in the first few hours.
60+ survey responses from families ready to dive in.
63% of parents asked for a workshop for themselves, too.
That was the signal. AI Like a Girl was born from the realization that girls shouldn’t just be consumers of the future—they need to be its authors.
We aren’t a coding bootcamp or a “how-to” for ChatGPT. We are a space where girls deconstruct the technology shaping their world so they can earn the authority to shape it back. Tools change every six months, but the ability to think critically about the system lasts forever.
I’m still building AI at the platform level. But now, I’m also building the bridge.
— Nimisha
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