#ailikeagirl
AI Like a Girl
Master the machine. Architect the “How.” Lead the way.
Giving her a head start in the Intelligence Age.
A 5-day in-person AI literacy lab for girls 9–16. Steiner Ranch, Austin TX.
Join Us — Summer 2026
#ailikeagirl
Giving her a head start in the Intelligence Age.
A 5-day in-person AI literacy lab for girls 9–16. Steiner Ranch, Austin TX.
Join Us — Summer 2026
This isn’t your typical summer camp. And it’s not a coding camp either. It’s a decoding camp — where she learns how AI actually works, what it gets wrong, and how to use it on her terms. 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 starts seeing the technology she uses every day with new eyes.
You can’t lead what you don’t understand. We go under the hood to demystify different facets of AI — not just what it can do, but the how. When she understands why an algorithm prioritizes one voice over another, the “black box” starts to open—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?”
AI raises real questions about privacy, bias, and ethics — questions that don’t have easy answers. She learns to spot them: where her data goes, whose perspective the AI reflects, and what happens when the output is wrong. These aren’t hypotheticals. They’re the judgment calls she’ll face every time she opens an AI tool.
She walks out a builder — with a project she built and a framework she can apply again. 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.
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 prototype meets its first audience: the parents.
We select the most powerful, current tools and level-appropriate challenges for each cohort—then let the girls drive.
Her week follows a 5-step arc:
1. Decode the Problem. Teams pick a project from a curated roster of real-world problems — matched to her interests — and map out where AI can actually help.
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 prototype.
4. Stress Testing. Testing the AI to find where the logic fails, where the data is biased, and where it gets things confidently wrong.
5. The Verdict. She presents the prototype she built all week — with AI as her partner at every step — and defends her process on Demo Day.
The AI Report Card.
On Demo Day, along with the prototype, 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 AI. She reviews it.
Master the Machine. 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.
$299
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.
$299
Example prototypes she might build:
🎙️ Her Own Podcast — an AI-generated episode on a topic she picks, with her as host and editor
🌱 Plant Detective — a tool that identifies species from photos and flags invasive ones
🗣️ Duolingo for Her Passion — an AI tutor built around whatever she cares about (music theory, birding, skateboard tricks)
🔍 Bias Detector — test AI for fairness and present the findings like an investigative reporter
♻️ Waste Sorter — an AI tool that tells you what’s recyclable, compostable, or landfill
Projects are customized for each cohort based on the current AI landscape and topics participating girls are passionate about. These are examples, not a fixed menu.
// the experience
Not at all. We start with curiosity, not prerequisites. While AI is built on code, understanding AI is built on logic, critical thinking, and good questions. If she can ask a sharp question, she has all the skills 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 topics our cohort feels passionate about. Every girl walks away with a functional prototype she designed and an AI Report Card she presents on Demo Day.
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 to join us for the final 45 minutes of the Friday session. She presents her AI Report Card and demos her prototype.
// pricing
The cost is $299 per week. This includes all materials and healthy 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, real mentoring and focused building.
Our 2026 cohorts are exclusively in-person in Steiner Ranch, Austin, TX. Hands-on collaboration works better for this kind of learning.
Nimisha Saboo (Meta, Microsoft, Amazon) and Tushar Bhatia (McKinsey, Microsoft). Between us, 30+ years in tech, AI, and product strategy—and a 9-year-old daughter who inspired the whole thing. Both adults are present for every session.
Laptop & charger: Please send her with a laptop and charger she is comfortable navigating.
Breakfast: Deep work requires high energy. We ask that she has a healthy, substantial breakfast before arrival.
Water bottle: We provide a selection of parent-approved, healthy snacks. Please send her with a reusable water bottle.
// privacy & data
We don’t believe in building in a bubble. Our goal is to equip girls with the skills they need to navigate the actual AI landscape, not a sanitized version of it.
What we use and why: We prioritize a high-utility learning experience using industry-standard tools.
What we teach about data: 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.
Why context matters: 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.
Privacy in practice: We incorporate privacy and data literacy into the building process. We discuss the trade-off between data and utility 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.
We don’t control third-party platform policies, but we teach girls to use privacy settings and opt out where possible.
// 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,” working on how AI products reach people. 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.
A flurry of comments and DMs in the first few hours.
Nearly 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 start making informed decisions about it. 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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