AI Agents Embrace Transparency, Modularity for Trusted Capabilities
Summary
AI agents embrace transparency and modular architectures, from single-agent to collaborative patterns, enabling trusted capabilities by admitting uncertainty and exposing reasoning.
Key Points
- Agent architecture consists of four layers: context and memory, data and integration, skills and capabilities, and evaluation and trust
- Orchestration patterns range from single-agent to skill-based, workflow-based, and collaborative architectures, with complexity increasing respectively
- Users trust agents that admit uncertainty and provide transparency about their reasoning and limitations, rather than those that confidently make mistakes