Agent Protocols for Building Enterprise AI Assistants

A global e-commerce company building an AI incident assistant should use dynamic capability discovery through a platform to safely and scalably connect tools during outages, according to an AI engineer interview preparation guide. The architecture reduces security risks by having the assistant request approved capabilities from the host platform rather than making connection decisions itself.

Member-only story Agent Protocols for Building Enterprise AI Assistants AI Engineer Interview Preparation Click here https://kawsar34.medium.com/list/ai-engineer-04bfb3bb2232 for the full AI Engineer Prep list. 1. A global e-commerce company is building an AI incident assistant. During an outage, the assistant needs to read logs, inspect metrics, and later query a database if necessary. Which architecture provides the safest and most scalable approach? A Connect every possible tool before the investigation starts. B Allow the AI model to execute any server it discovers. C Dynamically discover approved capabilities through the platform before connecting. D Replace every tool with an autonomous agent. Correct Answer: C Dynamically discover approved capabilities through the platform before connecting. The investigation begins with only the required capabilities, reducing security risks and resource usage. When the assistant realizes another capability is needed, it asks the host platform instead of making connection decisions itself. The platform searches an approved registry, validates policies, and connects only trusted servers. This approach keeps governance under platform control while allowing the agent to adapt during long investigations. It also avoids unnecessary…