u/bruhagan

Adults use ChatGPT to skip the parts they already understand. Kids use it to skip the part where the thinking would have happened. Let's use AI for our kids that will help them think and learn.

note: video made with Veo 3 via withpebble.com and music made with Suno. I own all the rights in this video (drawings, images, "P" red icon).

Quick context before the research: I'm a dad of two (8 and 10), and I'm building a kid-learning product called Pebble, which is what got me deep into this literature. As soon as my oldest hits a hard homework problem, he reaches for AI chatbots on my laptop (no phones in this house yet). The model serves him the answer, nods at whatever guess he throws, and moves on—the inverse of what a 10-year-old's brain needs.

Two studies that reframed it for me:

• Bellwether ("Productive Struggle: How AI Is Changing Learning, Effort, and Youth Development"): synthesizes the case that durable learning comes from working at the edge of what a kid can do, not from getting fast answers. Centers Bjork's "desirable difficulties," the 1994 finding that effort that feels harder in the moment produces stronger long-term retention. https://bellwether.org/publications/productive-struggle/
• Bastani et al. (Wharton, PNAS 2025): high schoolers using vanilla GPT-4 saw a 48% gain in problem-solving with access to the tool, but scored 17% worse than non-users on the unaided exam. A "tutor" version that gave hints instead of direct answers preserved the gains and eliminated the loss. Desirable difficulty, empirically. https://www.pnas.org/doi/10.1073/pnas.2422633122

The counter-framing: Khanmigo is the most-cited Socratic-style option for kids but it's text-based and aimed at older kids who already read and type fluently. Pebble is voice-first for ages 6 to 12, Carmen-Sandiego-style. The kid steps into an adventure, talks to characters, solves the plot, and the companion is built to withhold the answer and push them to keep thinking instead of rewarding guesses.

Question for this sub: are any of you actually trying AI use at home around productive-struggle principles, or is it more "tool is on, kid uses when he needs it"? The Bjork framework is decades old, but I can't find good data on whether parents can replicate desirable-difficulty conditions outside a classroom.

PS: If you're curious, check out Pebble

I'm a dad of two (8 and 10). As soon as my oldest struggled with his homework, he asks me to go on ChatGPT for help. The model serves up the answer, nods at whatever guess he throws, and moves on. Pedagogically, that's the inverse of what a 10-year-old needs.

So I've been building Pebble. It's a voice-first learning companion for kids 6-12, runs on OpenAI under the hood, Carmen-Sandiego-style: the kid steps into an adventure, talks to characters, solves the plot, and the agent is designed to withhold the answer, push them to think, and reward real effort.

OpenAI is what I've landed on for both the pedagogy layer and the image gen, and image gen is where I hit a wall last week. When testing it with my 8-year-old, half-French, obsessed with the Concorde, he asked the agent to draw "the real Concorde." The image came back with five engines. He caught it in two seconds: "there's only four engines. not five. the real life concorde. really existed." He was right. Real Concorde had four Olympus 593 engines, two under each wing.

The wall: when image gen hallucinates a numerical fact, the kid who already knows catches it. The kid who doesn't, absorbs it as truth. For a learning product, that's the inverse of what we want.

The ask: I'm opening 200 founding family seats, free, to test this with kids. If you're a parent (or a parent-engineer) and want a learning tool built on the opposite philosophy of commercial chat LLMs, sign up Pebble here.

Feedback/questions welcome - thanks!