AI Agents

Autonomous workflows, tool use, planning, and orchestration patterns.

Overview

Category Overview

AI agents extend LLM systems with tools, memory, and execution loops. This category should remain practical and production-focused.

Objectives

Clear outcomes for what each category will help you understand and build.

Learn how tool-using systems are structured.

Understand planning, memory, and execution loops.

Recognize reliability and safety concerns.

Prepare for future multi-agent orchestration content.

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This category is ready for future learning content. Articles will be added later without changing the navigation or page architecture.

Practical examples that connect the category to real-world implementation.

Enterprise lending platform powered by LLMs for credit analysis and risk assessment

Indian classical music AI assistant with context-aware knowledge retrieval

Useful starting points and supporting materials for this category.

Battle-tested prompts for various AI tasks

100+ AI engineering interview questions with solutions