AI Competence topic hub
AI Agents
AI agents combine models with tools, state, and permissions. Use this hub to understand agent architecture, control boundaries, evaluation, security, and reliable operation across real workflows.
Essential reading
Explore Agents
Follow these direct links to the original, in-depth articles on AI Competence. Each article remains on the main publication.
Build an AI Agent That Calls Real APIs
Connect an agent to external tools with clear execution boundaries.
Read on AI Competence ↗02AI Agent Audit Checklist
Review permissions, behavior, evidence, and operational safeguards.
Read on AI Competence ↗03AI Agents Need Zero Trust
Treat every tool call and requested action as a controlled decision.
Read on AI Competence ↗04AI Agent Reliability With Markov Chains
Model failure, recovery, and unsafe absorbing states in agent workflows.
Read on AI Competence ↗05AI Governance for Multi-Agent Systems
Assign authority and control when agents coordinate with each other.
Read on AI Competence ↗06Agent Permission Boundary Design
Separate model suggestions from authorized system actions.
Read on AI Competence ↗