About Explaining Agents

Explaining Agents is a blog about AI agents, AI automation, and intelligent workflows. It helps readers understand how AI agents work, how they make decisions, and how to build practical AI-powered systems.

Our goal is to explain the principles behind AI agents and automation, moving beyond surface-level tutorials to explore the architecture, reasoning, tools, and workflows that make these systems useful.

What Explaining Agents Covers

Explaining Agents publishes practical guides, technical explainers, and research-driven articles across three main categories.

Nerdy: AI Agent Fundamentals

Explore how AI agents work, including agent architecture, LLM reasoning, tool calling, memory, planning, retrieval-augmented generation (RAG), and agent loops. These articles explain the concepts and technical principles behind modern AI systems.

Curious: AI and Automation Trends

Discover emerging AI tools, automation platforms, agent frameworks, and developments in AI workflows. These articles examine what is changing, why it matters, and where these technologies may be useful.

Build: Practical AI Automation Tutorials

Learn how to build AI agents, automate repetitive tasks, connect tools, and develop real-world AI workflows. Follow step-by-step tutorials that cover implementation, testing, limitations, and common errors.

Who Is Explaining Agents For?

Explaining Agents is for developers, AI enthusiasts, researchers, students, and professionals who want to understand AI agents and build useful automation systems. Whether you are learning the fundamentals or experimenting with more advanced workflows, the aim is to make complex concepts easier to understand and apply.

About the Author

Explaining Agents is written by Kauntey Acharya, an analyst and researcher interested in AI systems, automation, and first-principles explanations. The blog combines analytical thinking with practical examples to explain how intelligent systems work.

Visit the Author page to learn more about the author and explore other projects.

Understand agents. Build systems. Ship solutions.