We're living through a unique window in history. AI tools are dropping every week. Use cases are being discovered in real-time. Traditional education can't move fast enough. Experts are still catching up.
But students? We're already in the trenches—experimenting, breaking things, finding what works. We're building our careers while these tools are being built. That makes us uniquely positioned to master them.
We believe AI knowledge should flow freely between students. If you figure out a killer workflow, a game-changing prompt technique, or a creative application—share it. Teach it. Build on what others discover. That's how we all stay on the forefront together.
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Students create modules based on real AI workflows they've discovered and tested. Relatable, practical, no academic fluff.
Found something that works? Submit a course. Your discovery becomes a learning module for the entire network.
New AI tools every week. New modules every week. We move at the speed of AI innovation, not academic cycles.
Every module is hands-on. You learn by doing, by building, by shipping—not by memorizing theory.
All knowledge is open and shared. No paywalls on essential AI skills. If you learn it, you can teach it.
Right now, students have a unique advantage. We're young enough to adapt quickly, curious enough to experiment constantly, and positioned perfectly at the intersection of learning and building our careers.
But this advantage is temporary. The longer we wait, the more we fall behind. The longer we gatekeep knowledge, the slower we all move.
That's why we're here. To stay on the forefront, together.
Forefront started as a pilot network at the University of San Diego. What began as a small group of students sharing AI workflows has grown into a movement of peer-to-peer learning and knowledge sharing.
The vision: expand to universities nationwide. Every campus becomes a node in the network. Students teaching students. Knowledge flowing freely. Everyone staying on the forefront.