<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI Agents &amp; Automation on Coursiv Blog</title><link>https://coursiv.io/blog/tags/ai-agents--automation</link><description>Recent content in AI Agents &amp; Automation on Coursiv Blog</description><generator>Hugo -- 0.147.0</generator><language>en-US</language><atom:link href="https://coursiv.io/blog/tags/ai-agents--automation/index.xml" rel="self" type="application/rss+xml"/><item><title>Action Space</title><link>https://coursiv.io/blog/glossary/action-space</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/action-space</guid><description>The complete set of things an agent is permitted to do — its tools, APIs, and permissions.</description></item><item><title>Agent Memory</title><link>https://coursiv.io/blog/glossary/agent-memory</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/agent-memory</guid><description>How an agent retains information across steps and sessions, beyond the context window.</description></item><item><title>Agentic AI</title><link>https://coursiv.io/blog/glossary/agentic-ai</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/agentic-ai</guid><description>AI that acts — plans, uses tools, self-corrects — rather than only producing text.</description></item><item><title>Agentic Loop</title><link>https://coursiv.io/blog/glossary/agentic-loop</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/agentic-loop</guid><description>The cycle an agent repeats: reason about what to do, act, observe the result, decide again.</description></item><item><title>AI Agent</title><link>https://coursiv.io/blog/glossary/ai-agent</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/ai-agent</guid><description>Software that plans and takes actions toward a goal on your behalf, rather than only answering.</description></item><item><title>Autonomy</title><link>https://coursiv.io/blog/glossary/autonomy</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/autonomy</guid><description>How far a system acts without human involvement — a dial, not a switch.</description></item><item><title>Computer Use</title><link>https://coursiv.io/blog/glossary/computer-use</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/computer-use</guid><description>An agent operating a computer the way a person does — reading the screen, moving the cursor, typing.</description></item><item><title>Copilot</title><link>https://coursiv.io/blog/glossary/copilot</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/copilot</guid><description>An AI assistant embedded in a tool that suggests while you keep control.</description></item><item><title>Function Calling</title><link>https://coursiv.io/blog/glossary/function-calling</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/function-calling</guid><description>The mechanism by which a model asks your code to run a specific function with specific arguments.</description></item><item><title>Human-in-the-Loop</title><link>https://coursiv.io/blog/glossary/human-in-the-loop</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/human-in-the-loop</guid><description>A design where a person reviews or approves before an AI action takes effect.</description></item><item><title>Model Context Protocol</title><link>https://coursiv.io/blog/glossary/model-context-protocol</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/model-context-protocol</guid><description>An open standard for connecting AI applications to tools and data sources through one common interface.</description></item><item><title>Multi-Agent System</title><link>https://coursiv.io/blog/glossary/multi-agent-system</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/multi-agent-system</guid><description>Several specialised agents working together, usually with a coordinator dividing the work.</description></item><item><title>Orchestration</title><link>https://coursiv.io/blog/glossary/orchestration</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/orchestration</guid><description>The layer that decides which model, tool, or agent handles each step, and in what order.</description></item><item><title>ReAct Pattern</title><link>https://coursiv.io/blog/glossary/react-pattern</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/react-pattern</guid><description>An agent design that interleaves explicit reasoning with actions, one step at a time.</description></item><item><title>Tool Use</title><link>https://coursiv.io/blog/glossary/tool-use</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/tool-use</guid><description>A model calling external software — search, code, APIs, databases — instead of answering from memory.</description></item><item><title>Workflow Automation</title><link>https://coursiv.io/blog/glossary/workflow-automation</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://coursiv.io/blog/glossary/workflow-automation</guid><description>Chaining AI steps into a defined process that runs the same way every time.</description></item></channel></rss>