A recurring theme in AI founder conversations is that model capability still matters — but distribution, product integration, and workflow adoption matter even more.

What happened

• More AI founders and operators are shifting the conversation from model quality alone to distribution and productization
• The model race is still intense, but product advantage increasingly comes from packaging, reach, and usability

Why it matters

This changes how developers and startups should think about infrastructure. Choosing the best model is not enough. You need a stack that lets you iterate, compare, and switch quickly when product requirements change.

What developers should do

• Avoid hard vendor lock-in too early
• Keep your model layer flexible
• Choose infra that lets you test multiple models without rewriting your app every month

Related Crazyrouter resources

• Unified access to 600+ models
• OpenAI-compatible API
• Faster experimentation across providers