[Part 1: Basics] OpenClaw.AI Master Class: Create Your Own Autonomous AI Agent with Gemini and Docker

📢 OpenClaw.AI Basic Part 2.5 Course Opening Announcement

Hello, I'm Kevin, the instructor for the OpenClaw.AI Master Class basic course.

I am finally posting an announcement as [Basic Part 2.5] Fundamentals of Multi-Agent Team Design and Role Separation has been released on Inflearn. :)

This Part 2.5 further expands the "AI Assistant in my PC" created in Parts 1 and 2,

This is a lecture focused on growing a single Telegram bot into a small AI team with divided roles.

👉[Go to OpenClaw.AI Basics Part 2.5 Lecture]

What we will build together in Part 2.5

- Using Telegram Forum Groups + Topic-based Routing

We will configure a multi-agent environment that operates two agents, content-planner and content-editor, with a single bot.

- To the /workspace/content/planning / /workspace/content/drafts folders

We will actually create a content workflow where planning deliverables and draft/edited versions are separated.

- Through the scenario of "generating ideas and outlines in the planner room → refining the writing in the editor room," we will complete a realistic multi-agent collaboration routine based on manual copy-pasting.

Especially recommended for these people

- Those who have followed OpenClaw Parts 1 and 2 but are still making a single agent do everything

- Those who want to develop a Telegram bot not just as a "single chatbot," but as an AI team divided into a Planner and a Writer/Editor

- Solo creators, newsletter/blog operators, and YouTubers who want to organize their workflow by delegating content planning, drafting, and refining tasks to role-specific agents.

- Developers, planners, and PMs who are interested in multi-agents but want to start light in their current OpenClaw + Telegram environment instead of using a massive framework

Part 2.5 Core Curriculum at a Glance

- Section 1: For both existing and new students

Part 2.5 Joining Route A (5-minute environment check) / B (Minimum setup onboarding) Guide + Super simple review of OpenClaw UI

- Section 2: Single-agent vs. Multi-agent concepts,

Understanding the structure of how multiple agents are deployed within openclaw.json, and checking the current configuration with openclaw agents list

- Section 3:

- Define content-planner / content-editor agents

- Separate workspaces for /content/planning and /content/drafts

- Telegram forum group & planner-planning / editor-editing topic creation

- Find Group ID / Topic ID → Complete agent routing by topic

- Section 4:

- planner ↔ editor semi-manual collaboration practice (based on human copy-paste)

- Preview of the 4-agent automated collaboration pipeline (Leader/Planner/Editor/QA) to be covered in Part 3

Checklist before taking the course

- It is best if you have the WSL2 + Docker + OpenClaw + Telegram Bot environment used in Parts 1 and 2 ready.

- Even if you haven't taken Parts 1 and 2, I have structured it so that you can set up the minimum environment required for the multi-agent practice by following the “Environment Check Route A / Minimum Setup Onboarding Route B” included in Part 2.5.

- You will need a Gemini API key issued by Google AI Studio.

If you have any questions or get stuck while taking Part 2.5, please feel free to leave them on the Q&A board at any time.

Based on your feedback, we will continue to strengthen the practice examples and troubleshooting guides.

I hope this Part 2.5 serves as an opportunity to expand your OpenClaw environment from "one smart assistant" into a "small AI team with divided roles."

Thank you.