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Tools That Think Back: When AI Agents Learn to Build Their Own Interfaces
The first generation of agents treated tools as static functions. The emerging generation reasons about tools, remembers usage patterns, and adapts to heterogeneous interfaces.
When Models See and Speak: The Multimodal Agent Arrives
Multimodal agents are navigating websites, controlling robots, and generating 3D scenes. But perception is the bottleneck, and bridging it requires rethinking how models attend to the world.
The Goldfish Brain Problem: Why AI Agents Forget and How to Fix It
Stanford deployed 25 agents that planned a party autonomously. But most production agents today can't remember what you told them ten minutes ago. The memory problem isn't a model limitation; it's an architectural one, and new solutions are emerging.
From Prompt to Partner: A Practical Guide to Building Your First AI Agent
Agents have moved from academic benchmarks to production systems processing millions of conversations. The gap between hype and reality comes down to architecture. This guide walks through model selection, tool design, and instruction engineering with production examples.