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Agents

10 articles

Systems that reason, use tools and act.

01
CONCEPTFeatured

What is an AI agent?

An AI agent is a system where the language model itself decides what steps to take, in a loop, to reach a goal.

02
CONCEPT

What Are Agent Hooks?

A hook is a command the environment runs whenever an agent lifecycle event fires, without going through the model's judgment.

03
CONCEPT

What Is Harness Engineering?

Harness engineering is designing the full environment around an AI agent — rules, memory, skills, orchestration — so it works consistently, not just intelligently.

04
CONCEPT

Human-in-the-Loop (HITL): Integrating Human Oversight in Agents

HITL is a design pattern where a human reviews, approves, or corrects agent decisions before critical actions are executed, balancing autonomy with control.

05
CONCEPT

What is a Self-Reflection Agent?

A self-reflection agent evaluates its own output, detects errors, and corrects itself before delivering a final response to the user.

06
CONCEPT

How to Create Your Own Custom GPT

Custom GPTs are tailored versions of ChatGPT with your own instructions, knowledge, and actions. Learn to build one without writing code.

07
CONCEPT

How Do AI Agents Communicate With Each Other?

AI agents communicate through structured messages, async queues, and coordination protocols. Learn the key patterns to build multi-agent systems.

08
CONCEPTFeatured

AI Agent Skills

Skills are modular capabilities that an AI agent can invoke to interact with external systems and data.

09
CONCEPTFeatured

What is the Model Context Protocol (MCP)?

MCP is an open standard that connects AI models to external tools and data sources through a universal protocol.

10
CONCEPT

What are AI Coding Agents?

AI Coding Agents are AI assistants that read, understand, and modify code in an existing project, going beyond autocomplete.