I've seen this scenario too many times: a development team spends months fine-tuning an "all-knowing, all-powerful" AI model, only to launch it and find there are more bugs than features. Want a single model to write code, analyze data, and handle user inquiries? Sounds great in theory, but in practice it’s a disaster.

The DeFAI space is pretty lively right now, with everyone trying to build the "strongest AI." But there’s one team taking a different approach—instead of exhausting one model by making it do everything poorly, they’re assembling a squad of specialized AI models. Each model focuses on doing one thing well, and together they can solve more complex problems.

This approach is actually pretty smart. Just like you wouldn’t expect a general practitioner to perform heart surgery and fix your teeth, AI models are the same—specialized tasks require specialized "people."