--- title: AI Agents Explained - What Is an AI Agent and how to... description: AI agents are demystified as simply a language model that can use tools, running in a loop until a goal is completed. The core building blocks are explained:... canonical: https://daily.dev/posts/ai-agents-explained---what-is-an-ai-agent-and-how-to-build-one-real-examples-not-hype--bnum2gm6b twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI Agents Explained - What Is an AI Agent and how to build one? (Real Examples, Not Hype) | daily.dev og:description: AI agents are demystified as simply a language model that can use tools, running in a loop until a goal is completed. The core building blocks are explained:... og:url: https://daily.dev/posts/ai-agents-explained---what-is-an-ai-agent-and-how-to-build-one-real-examples-not-hype--bnum2gm6b og:image: https://api.daily.dev/og/posts/Bnum2Gm6B.png og:image:alt: AI Agents Explained - What Is an AI Agent and how to build one? (Real Examples, Not Hype) og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI Agents Explained - What Is an AI Agent and how to build one? (Real Examples, Not Hype) **[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 21 min read · 2 upvotes · 0 comments ## Summary AI agents are demystified as simply a language model that can use tools, running in a loop until a goal is completed. The core building blocks are explained: the LLM as the brain, tool calling as the hands, the context window as working memory, and the agentic loop (think, act, observe). Four tiers of building agents are demonstrated — no-code platforms (GenSpark), low-code tools (n8n), agent harnesses (Hermes), and full Python code — each offering different levels of control and complexity. Key concepts like RAG, vector databases, context engineering, and message roles (system/user/assistant) are also covered. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the actual definition of an AI agent versus a chatbot? An AI agent is a language model that can use tools and runs in a loop until it finishes a job, whereas a plain chatbot or LLM can only generate text in response to a message. The two abilities that turn a model into an agent are tool calling (taking real-world actions) and the ability to keep going step-by-step instead of stopping after one reply. _Developers sorting hype from substance on AI agents can follow ongoing coverage of the space on daily.dev._ ### What are the four main ways to build an AI agent from no-code to full code? The four tiers are no-code platforms like GenSpark, Lindy, or Voiceflow that need only configuration; low-code visual tools like n8n, Flowise, or Dify that mix drag-and-drop with some technical setup; agent harnesses like Hermes Agent, Open Claw, or Letta that provide a ready-built agent to customize; and full code written in Python or a framework like LangGraph for complete control over the loop. _Comparing agent-building approaches gets easier when developers track tool tradeoffs on daily.dev._ ### What is context engineering and why does the context window matter for AI agents? Context engineering is being deliberate about what information gets placed into a model's context window, which functions as its short-term working memory holding instructions, conversation history, and tool call results. Even large context windows, some holding a million tokens, are not enough for massive enterprise codebases, so vector databases and retrieval augmented generation are used to store and pull in only relevant long-term information. _Engineers refining agent memory strategies can keep learning about context engineering through daily.dev._ ## Similar posts on daily.dev - [Practical AI Agents Examples for Business & How to Get Started](https://daily.dev/posts/practical-ai-agents-examples-for-business-how-to-get-started-koqfe9hjh) · databricks · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/ai-agents-explained---what-is-an-ai-agent-and-how-to-build-one-real-examples-not-hype--bnum2gm6b) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"AI Agents Explained - What Is an AI Agent and how to build one? 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