Ploba logo

Find the right AI tool for the job: apps, agents, APIs, MCP servers and datasets, explained plainly.

Get the AI Digest

Discover

  • Explore
  • Top Charts
  • Categories
  • Agents
  • MCP servers
  • Developer tools

Learn & community

  • Learn AI
  • AI Glossary
  • Blog
  • Hackathons
  • People
  • AI Digest

For makers

  • List your tool
  • Docs
  • Claim a listing
  • Advertise
  • Write for us

Company

  • About
  • Careers
  • Changelog
  • Trust
  • Security
  • Contact

© 2026 Ploba. All rights reserved.

  • Privacy
  • Terms
  • Cookies
  • Advertising
  • All policies
llms.txt
AI glossary
Agents

AI Copilot

Also called Copilot

An AI assistant built into the software you already use, which suggests and drafts while you stay in control of each decision.

What is an AI copilot?

An AI copilot is an assistant that works alongside you inside an app, such as a code editor, an email client, a spreadsheet or a design tool. It suggests the next line of code, drafts a reply, summarises a document or answers questions about what's on screen. You review its suggestions and decide what to keep.

The word is a general term: GitHub Copilot and Microsoft Copilot are product names, but many other tools describe their built-in assistant the same way.

How does it work?

A copilot sends what you're working on (the open file, the email thread, the selected cells) together with your request to a large language model, and shows the result in place. Most copilots act only when you ask, or offer suggestions you can accept with a keystroke.

What is it commonly confused with?

  • An AI agent. A copilot assists with a step while you drive. An agent takes a goal and works through several steps on its own. Many copilots now include an agent mode, so a single product can be both.
  • Autocomplete. Basic autocomplete predicts the next word from patterns. A copilot understands the wider context and can draft whole sections.

Why does it matter?

Copilots are the most common way people use AI at work, because they fit into existing tools and keep a person in charge (human in the loop). When comparing them, check what data they send to the provider, whether that data is used for training, and how well they understand your files beyond the one you have open. Read AI copilots vs AI agents for the full comparison.

Category
Agents
Last reviewed
Nov 3, 2026
Also called
Copilot

Sources

  • GitHub Copilot
  • Microsoft Copilot

Related terms

  • AgentsAI AgentAn AI system that can autonomously plan and execute actions using tools to achieve a goal.
  • AgentsAgentic AIA paradigm of artificial intelligence focused on creating systems that act with agency and autonomy.
  • Agents · HITLHuman-in-the-LoopA system design that deliberately requires human input, approval, correction, or oversight at selected stages of an AI process.
  • ModelsLarge Language ModelA deep learning model trained on vast amounts of text to understand, generate, and predict human language.
  • AgentsAutonomous AgentAn AI system that can plan and execute a sequence of actions to achieve a goal with limited human intervention.

Read more on Learn

All articles
  • Abstract circuit board representing artificial intelligence processingComparisons · Mar 5, 2026AI Copilots vs AI Agents: What’s the Difference?Understand the key differences between AI copilots and autonomous AI agents, including how they work, who controls them, and when to use each in your business.
  • Illustration of AI working alongside a software developerRoundups · Mar 19, 202610 Best AI Agents for Software Development in 2026Compare the top AI coding agents, from autonomous software engineers to AI-first IDEs, and learn how they change the development workflow.