Build Your FIRST AI Agent in Claude Code. (11 Minutes).

2026-11-06 16:0012 min read

The video explains how to build and use an AI agent in Claude Code to manage personal tasks autonomously. It contrasts ordinary chat-based AI with agents that can plan, use tools, break work into subagents, and keep working until tasks are complete. The creator shows how to set up a project, create a .claude.md instruction file, use planning mode for approval, and then run the agent in auto mode. The demo includes a to-do agent that sorts tasks into categories, creates drafts for email approvals, and works across desktop and phone through cloud-stored artifacts. The result is a personalized, always-available productivity system that saves time and adapts to user preferences.

Key Information

  • The speaker partnered with Anthropic to demonstrate building AI agents, specifically a to-do list agent, using Claude Code.
  • An AI agent differs from a normal assistant because it is given a goal, determines its own steps, uses tools, checks its work, and continues until the task is completed.
  • Subagents are smaller assistants that the main agent can assign parts of a task to, then combine the results at the end.
  • The tutorial uses Claude desktop/Claude Code in local mode with an empty project folder and a paid plan.
  • Creating a .claude.md file is important because it stores user preferences and instructions so Claude remembers them in future sessions.
  • Planning mode lets Claude think through the request, ask questions, and present a plan before making changes; switching to auto mode lets it execute approved tasks.
  • The creator uses voice input because speaking is faster than typing and helps provide more detailed instructions.
  • The to-do agent is customized with preferences like premium-looking design, shorter messages, subagent use, and requiring approval before sending anything.
  • The resulting dashboard sorts tasks by category, tracks progress, shows delegation metrics, and can suggest additional tasks.
  • Claude’s artifact system stores the created app in the cloud, making it accessible from both computer and phone.
  • The demo includes sending a task list, generating drafts for emails, and creating outputs like a 2027 planner, with the user remaining the final approver.
  • The video concludes that the agent completes multiple tasks, saves significant time, and can be used to create more advanced agents with Claude Code.

Timeline Analysis

Content Keywords

Claude Code AI Agents

The video explains how to build an AI agent in Claude Code, using a to-do list agent as the example. It covers the difference between chat-based assistance and autonomous agentic AI, how subagents divide tasks, and how the main agent coordinates and checks work until completion.

Claude Planning Mode

The script highlights Claude's planning mode, where the AI first analyzes a request, asks clarifying questions, and presents a plan before taking action. This helps users approve the workflow in advance and keeps the building process safer and more controlled.

.claude.md Memory File

A key setup step is creating a .claude.md file to store user preferences, instructions, and recurring rules. Claude reads this file first in future sessions, allowing the agent to remember style preferences, approval rules, and task-handling instructions.

Subagents Workflow

The video explains that a main agent can split a larger goal into smaller parts and delegate them to multiple subagents. Each subagent handles its own task, then reports back so the lead agent can combine the results into one final output.

Claude Artifacts and Cross-Device Access

The tutorial shows that Claude creates artifacts, which are pages or small apps stored in the Claude account and accessible from any device. This enables the same agent workflow to be used on both desktop and phone, even when the computer is off.

Task Automation and Delegation Score

The finished dashboard tracks completed tasks, time saved, and a delegation score that reflects how much work the agent handled. The video demonstrates real-world use cases like booking appointments, generating shopping help, and creating planners and gift-related drafts.

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