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AI Agents Explained: Types, Use Cases, and Implementation

May 14, 20267 min read

Preview — extended article in progress. Follow us on LinkedIn for the full series.

What Is an AI Agent?

An AI agent is a system that perceives context, plans actions, and executes tasks with tool access — not just a chat interface. The difference between a chatbot and an agent is orchestration, memory, and accountability.

Common Agent Patterns

Most production agents fall into one of these architectures:

  • Reactive assistants — single-turn Q&A with retrieval (RAG)
  • Workflow agents — multi-step tasks with human approval gates
  • Autonomous operators — scheduled jobs with guardrails and audit logs

Production Checklist

Before shipping agents: define failure modes, add rate limits, log every tool call, and design human override paths. Agents without observability become liability quickly.

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