--- title: ### Everyone's building one. Almost nobody can define one. description: AI agents extend LLMs by placing them in a Think → Act → Observe loop with access to tools (APIs, databases, code execution), enabling them to complete... canonical: https://daily.dev/posts/everyone-s-building-one-almost-nobody-can-define-one--3ow3pvg5e twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: ### Everyone's building one. Almost nobody can define one. | daily.dev og:description: AI agents extend LLMs by placing them in a Think → Act → Observe loop with access to tools (APIs, databases, code execution), enabling them to complete... og:url: https://daily.dev/posts/everyone-s-building-one-almost-nobody-can-define-one--3ow3pvg5e og:image: https://api.daily.dev/og/posts/3ow3PVg5E.png og:image:alt: ### Everyone's building one. Almost nobody can define one. 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. # ### Everyone's building one. Almost nobody can define one. **[Paolo Perrone](https://daily.dev/sources/plhl9qb1xlvee3ys6rvk0)** · [@paoloap](https://daily.dev/paoloap) · 1 upvotes · 2 comments ## Summary AI agents extend LLMs by placing them in a Think → Act → Observe loop with access to tools (APIs, databases, code execution), enabling them to complete multi-step tasks rather than just generate text. The three core components are the LLM brain, the tools it can call, and memory/state tracking. Real-world examples include Klarna's customer service agent (which handled 2.3M conversations but required human rehiring for complex cases) and coding agents like Cursor and Claude Code. Key failure modes include tool call hallucinations, compounding errors across steps, and organizational gaps around auth, audit trails, and compliance. A minimal Python implementation using LangChain's ReAct agent is shown. The pattern that works in production: constrained domains, clear tool definitions, and humans in the loop for edge cases. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community discussion Top comments from developers on daily.dev. **@vikasrathore** · 1 upvotes > Curious how teams are deciding the right balance between autonomy and human-in-the-loop for AI agents in production. What guardrails have actually worked for you when agents start chaining multiple tools? ## Similar posts on daily.dev - [AI Agents Explained](https://daily.dev/posts/ai-agents-explained-9hh27gy7n) · Trevor Lasn · 2 upvotes · 0 comments - [The Agent Loop: How AI Goes From Answering Questions to Doing Things](https://daily.dev/posts/the-agent-loop-how-ai-goes-from-answering-questions-to-doing-things-5vyyqtwve) · ByteByteGo · 2 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#llm](https://daily.dev/tags/llm), [#python](https://daily.dev/tags/python) [View this post on daily.dev](https://daily.dev/posts/everyone-s-building-one-almost-nobody-can-define-one--3ow3pvg5e) ```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":"DiscussionForumPosting","mainEntityOfPage":"https://daily.dev/posts/everyone-s-building-one-almost-nobody-can-define-one--3ow3pvg5e","headline":"### Everyone's building one. 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