The Digital Press

Agentic AI refers to systems that autonomously set goals, plan, reason through multiple steps, remember context, and interact with the environment, going beyond simple chatbots. These AI agents use function calling to access external tools, extending their capabilities for dynamic, real-world tasks.

Why it matters: Agentic AI enables more autonomous, goal-driven systems that can perform complex tasks with less human intervention.

The big picture: Function calling is becoming the standard method for AI systems to interact with external tools, vital for agentic AI development.

The stakes: Despite progress, function calling accuracy is around 80%, requiring robust quality control to avoid errors in multi-step agentic tasks.

Commenters say: Readers discuss the growing importance of trust and quality control in agentic AI, and the practical challenges of deploying these systems widely.