How to Build a Personal AI Assistant with OpenClaw

how to build personal ai assistant with openclaw · Live · April 26

How to Build a Personal AI Assistant with OpenClaw — Step by Step

If you have been wondering how to build a personal AI assistant with OpenClaw, this live workshop is the most direct path. Four hours. A live instructor. A working private AI assistant connected to WhatsApp or Telegram by the end.

Sunday, April 26 9am to 1pm EDT

4 Hours Hands-on coding

Live Online Interactive

Workshop Details

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Date and Time

Sunday, April 26, 2026

9:00am to 1:00pm EDT

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Duration

4 Hours · Hands-on

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Format

Live Online · Interactive

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Includes

Certificate of Completion

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Privacy

100% Local · No Cloud Required

By Packt Publishing · Refunds up to 10 days before

About This Building a Personal AI Assistant with OpenClaw

Why This Building a Personal AI Assistant with OpenClaw is Different From Everything Else

Most tutorials show you isolated steps. This how to build personal ai assistant with openclaw gives you a complete guided build with a live expert answering your specific questions throughout.

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What is OpenClaw?

OpenClaw is the open-source personal AI assistant that went viral in early 2026 with 200K+ GitHub stars. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine.

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What is Docker Model Runner?

Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API that OpenClaw uses as its AI brain — complete data privacy, no cloud costs.

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Why combine OpenClaw and Docker?

OpenClaw gives you the assistant interface and messaging integrations. Docker Model Runner gives you the AI brain running privately on your machine. Together they create a production grade private AI assistant you fully own.

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Why attend this as a live workshop?

Setting this up from scattered documentation takes days of debugging. This how to build personal ai assistant with openclaw gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.

Workshop Curriculum

What You Will Build in This Building a Personal AI Assistant with OpenClaw

Six modules. Four hours. One working private AI assistant by the time you finish.

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, understand the OpenAI-compatible API.

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, set up proactive automation.

Production Deployment

Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.

What You Walk Away With

By the End of This Building a Personal AI Assistant with OpenClaw You Will Have

Concrete working deliverables — not just theory.

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A fully functional local AI assistant running on your machine

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Docker Model Runner configured with your chosen LLM model

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OpenClaw connected to WhatsApp or Telegram

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Security and privacy configuration you can trust

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A reusable architecture for future AI assistant projects

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Certificate of completion from Packt Publishing

Your Instructor

Learn from someone who has actually shipped this

This Building a Personal AI Assistant with OpenClaw is taught by a practitioner, not a YouTuber.

Rami Krispin

Workshop Instructor · April 26, 2026

Rami is a Senior Manager of Data Science and Engineering, Docker Captain, and LinkedIn Learning Instructor with deep expertise in building and deploying production AI systems. In this Building a Personal AI Assistant with OpenClaw he guides you step by step from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session.

Frequently Asked Questions

Everything You Need to Know About This Building a Personal AI Assistant with OpenClaw

Common questions about the workshop, what to expect, and how to prepare.

How long does it take to build a personal AI assistant with OpenClaw? +

In this live workshop you will build a fully working personal AI assistant with OpenClaw in 4 hours. The instructor guides you step by step from a blank terminal to a deployed assistant connected to WhatsApp or Telegram.

What is the first step to build a personal AI assistant with OpenClaw? +

The first step is setting up OpenClaw locally and understanding its architecture — the Gateway, channels, and skills system. This workshop starts from the very beginning so you understand how OpenClaw works before you start connecting it to Docker Model Runner and messaging platforms.

Do I need to pay for an AI API to build a personal AI assistant with OpenClaw? +

No. OpenClaw works with Docker Model Runner which runs open weight LLMs entirely on your own machine. There are no API costs, no cloud subscriptions, and no data leaving your device when you build your personal AI assistant with OpenClaw this way.

What messaging apps can I connect my OpenClaw personal AI assistant to? +

In this workshop you will connect your personal AI assistant with OpenClaw to WhatsApp or Telegram. OpenClaw natively supports many other platforms including Slack, Discord, Signal, iMessage and Google Chat.

How do I run an LLM locally to power my OpenClaw assistant? +

This workshop uses Docker Model Runner — Docker's native feature for running open weight LLMs locally. You will learn to pull models, configure memory limits, and connect Docker Model Runner to OpenClaw so your personal AI assistant uses a locally running model with no internet dependency.

Can I build a personal AI assistant with OpenClaw on Windows or Mac? +

Yes. OpenClaw and Docker Model Runner work on both Windows and Mac. The workshop covers setup for both environments and the instructor will help troubleshoot any platform-specific issues during the live session.