What are the differences or advantages of generating an agent versus working with Notebook+Gemini? Are both scalable at the enterprise level?
Hi
Notebook + Gemini: Best for testing, research, and quick prototyping. It’s an interactive workspace for developers, not a backend for end-users.
AI Agents: Built for production automation. They autonomously run workflows, trigger tools/APIs, and serve end-users continuously.
Scalability: Notebooks scale for internal R&D teams. Agents scale for enterprise applications with full GCP security, APIs, and auto-scaling.
Rule of thumb: Experiment in Notebooks, deploy with Agents.