The best productivity AI assistant is the one you have on you at all times. By connecting OpenClaw to WhatsApp or Telegram, your private AI assistant is always accessible through your phone — helping with daily tasks, answering questions, and automating routines, all running on your own machine.
By Packt Publishing · Refunds up to 10 days before
Most productivity AI tools require opening a browser, logging in, and navigating to a chat interface. An AI assistant in WhatsApp requires one tap. This friction reduction makes a local AI assistant something you actually use every day — for quick questions, content drafting, and task automation.
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.
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.
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.
Setting this up from scattered documentation takes days of debugging. This live workshop gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.
Six modules. Four hours. One working private AI assistant by the time you finish.
Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.
Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.
Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.
Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.
Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.
Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.
Concrete working deliverables — not just theory.
A fully functional local AI assistant running on your machine
Docker Model Runner configured with your chosen LLM model
OpenClaw connected to WhatsApp or Telegram
Security and privacy configuration you can trust
A reusable architecture for future AI assistant projects
Certificate of completion from Packt Publishing
Rami Krispin uses his own local AI assistant for daily productivity tasks — not just for workshops.
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. 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.
You do not need to be an expert. You do need the basics.
Common questions about the workshop, what to expect, and how to prepare.
Your personal AI assistant handles drafting and editing messages and emails, summarising content you paste in, answering factual questions, explaining concepts, brainstorming solutions, reviewing and improving your writing, helping with research, translating content, and through skills — automating routine daily tasks like setting reminders or looking up specific information.
The WhatsApp integration dramatically increases actual usage compared to browser-based AI tools. Developers who complete this workshop typically report using their personal AI assistant multiple times per day precisely because it is accessible through the app already open on their phone.
The AI inference works offline — Docker Model Runner processes your questions locally with no internet required. The WhatsApp or Telegram interface requires internet for message delivery.
OpenClaw maintains conversation context within a session so you can have back-and-forth conversations about a topic without re-explaining context. The instructor covers context window configuration for productivity workflows during the workshop.
The AI inference is free — Docker Model Runner runs open weight models with no per-conversation costs. If you want always-on access from anywhere, a VPS costs $20 to $40 per month. For home-only use with your laptop the running cost is just electricity.
Yes. OpenClaw's system prompt configuration lets you set your productivity AI assistant's personality, communication style, and specific instructions. You can make it concise and technical, friendly and conversational, or focused on specific productivity domains. The instructor covers personalisation during the workshop.
4 hours. Live instructor. Daily productivity AI assistant in your WhatsApp by the end. Seats are limited.
Register Now →Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing