When it comes to AI implementations, what really stands out? Is it a high-end model or a lower-end model in the right context? I’ve had my share of experiences with various AI tools, and I’m curious to hear from you, fellow founders and builders. Which AI implementations have impressed you, and what made them shine? Was it a specific model, environment, or context that made the difference?
For me, it’s been interesting to see how different AI tools perform in various tasks. For example, Amazon’s Kiro using anthropic was great at complex coding tasks but struggled with UI. On the other hand, the Supabase chat was impressive at writing SQL and running it, all while having the context of the tables and project.
I’d love to hear your thoughts on what it takes to build a great AI product. Whether it’s code-related or general workflows, I’m interested in hearing about your experiences and what you’ve learned.
So, what are some AI implementations that have caught your attention? Are there any that have outperformed your expectations, or any that have surprised you with their capabilities? Let’s share our stories and learn from each other.