Built by an AI engineer,
for AI engineers.

If you've spent time on Reddit, X, or LinkedIn in AI circles, you've seen them — those threads where someone asks "how would you debug a hallucinating RAG pipeline?" or "what's the right chunking strategy for long documents?" and suddenly 40 engineers are sharing sharp, hard-won opinions.

That's where the real AI learning happens. Not in courses. Not in documentation. In those messy, opinionated discussions where people who've actually shipped AI systems disagree about the right approach.

But those conversations disappear. There's no structured place to find them, practice them, compare your thinking to others, or build on them. So I built one.

CognitionCatalysts started as a simple idea: take the best real-world AI engineering problems — the kind that trip up engineers in actual interviews and production systems — and put them in one place where you can think through them, submit your approach, and see how the community solves them differently.

There's no single right answer in AI systems. A senior at Google and a founding engineer at a startup might solve the same RAG problem in completely different ways — and both would be right. That diversity of thinking is the point. The goal is to make you a sharper AI engineer, not to hand you answers.

60 challenges live. More every week. A community that thinks out loud together.