What Are AI Agents? A Complete Guide
An AI agent is a language model placed inside a loop with tools and a stopping rule. How that loop works, where it breaks, and when not to build one.
AI agents combine a language model with memory, tools and a control loop so software can pursue a goal rather than answer a single prompt. This section covers agent architectures, planning and reasoning loops, tool and function calling, multi-agent orchestration, evaluation, and the operational realities of running agents in production.
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An AI agent is a language model placed inside a loop with tools and a stopping rule. How that loop works, where it breaks, and when not to build one.
Sections that sit closest to AI Agents in the Tech Agents taxonomy.
AI Agents currently holds two pieces: two explainers. Every piece here is written by A. Rahman.
Subjects that recur across the section include Agentic AI, Architecture, Automation and Tool Calling. The earliest piece was published on August 18, 2026 and the most recent on August 24, 2026.
Coverage here is filed against ai agents, agentic ai, autonomous agents and agent architecture. The sections sitting closest to it in the Tech Agents taxonomy are Artificial Intelligence, AI Development and AI Tools, which is where neighbouring material is published.
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