'Agent optimization should be automatic, efficient, observable and future-proof' (Or Dagan, 2 minutes ago)

Agent optimization requires four key characteristics: automation to reduce manual intervention, efficiency to maximize performance with minimal resource waste, observability to enable monitoring and debugging, and future-proofing to ensure systems remain effective as capabilities and requirements evolve. This principle, from AI21 Labs, advocates for building agent systems with built-in design principles that support scalability, transparency, and long-term sustainability rather than ad-hoc optimization approaches.

Source: AI21 Labs (X) | 2026-04-29