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.
A. Rahman10 min read
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Writes about agent architecture and orchestration
4 articles3 sections12 topics
Writes about the systems layer of agentic AI: how a planning loop is structured, where tool-calling contracts leak, how memory and context are budgeted, and the operational questions that only appear once an agent runs without a person watching it. Coverage favours mechanisms over benchmarks.
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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.
Rule-based automation fails on inputs it was not written for. Agents fail unpredictably. A structured comparison of where each belongs, and how to combine them.
When a change can be drafted by a process that runs your tests, the constraint moves from writing code to reviewing it. What that shift breaks and rewards.
Agentic systems are limited less by model capability than by compounding reliability, context economics, machine identity and interoperability. What each gates.