Join our team to learn how to get the most out of Cursor's AI models, from choosing the right model for your workflow to writing prompts that deliver consistent, high-quality results.

We'll break down how tokens work (the "language" AI models actually understand) and how they impact both performance and pricing. You'll walk away with practical strategies for keeping your Cursor Agent usage fast, accurate, and cost-efficient - whether you're debugging code, generating docs, or shipping new features.

Agenda: Learn model selection best practices for different use cases Explore how tokenization affects quality and cost See real examples of efficient prompting from the Cursor team Close with a live Q&A

The session will be recorded and shared with all registered participants.