<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agents &amp; Agentic AI — The Latent Daily</title><description>Agent frameworks, MCP, tool use and orchestration.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/agents-agentic-ai.xml" rel="self" type="application/rss+xml"/><item><title>What are AI agents? How they plan, use tools and take actions</title><link>https://thelatentdaily.com/articles/what-are-ai-agents-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/what-are-ai-agents-explained/</guid><description>AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.</description><pubDate>Sun, 18 Oct 2026 04:55:00 GMT</pubDate><category>Agents &amp; Agentic AI</category><category>agents</category><category>agentic-ai</category><category>tool-use</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Model Context Protocol (MCP) explained: the &quot;USB-C port&quot; for AI tools</title><link>https://thelatentdaily.com/guides/model-context-protocol-mcp-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/model-context-protocol-mcp-explained/</guid><description>MCP is an open standard for connecting AI assistants to tools and data. How servers, clients and tools work, how to try it, and the security points to know.</description><pubDate>Sun, 18 Oct 2026 04:54:00 GMT</pubDate><category>Agents &amp; Agentic AI</category><category>mcp</category><category>agents</category><category>tool-use</category><category>open-standards</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Structured outputs and function calling: getting reliable data from LLMs</title><link>https://thelatentdaily.com/guides/structured-outputs-and-function-calling-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/structured-outputs-and-function-calling-explained/</guid><description>How to make language models return valid JSON that matches a schema, how function calling works, and how to validate outputs so your application never breaks.</description><pubDate>Sun, 18 Oct 2026 04:52:00 GMT</pubDate><category>APIs &amp; SDKs</category><category>apis</category><category>json</category><category>function-calling</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Prompt injection and LLM security: the risks every AI app must handle</title><link>https://thelatentdaily.com/articles/prompt-injection-and-llm-security-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/prompt-injection-and-llm-security-explained/</guid><description>Prompt injection, data leakage, insecure tool use and model supply-chain risks explained with the OWASP Top 10 for LLM applications and practical defenses.</description><pubDate>Sun, 18 Oct 2026 04:24:00 GMT</pubDate><category>Privacy &amp; Security</category><category>security</category><category>prompt-injection</category><category>owasp</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI NPCs and procedural worlds: how games are becoming generative</title><link>https://thelatentdaily.com/articles/ai-npcs-and-procedural-worlds-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-npcs-and-procedural-worlds-explained/</guid><description>How language models power conversational game characters, how procedural generation creates worlds, and the design, cost and safety challenges studios face.</description><pubDate>Sun, 18 Oct 2026 03:53:00 GMT</pubDate><category>Gaming</category><category>gaming</category><category>npcs</category><category>procedural-generation</category><category>agents</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>