Personal AI Assistant for Productivity · Live · April 26

Build a Personal AI Assistant for Productivity — In Your WhatsApp

The most productive AI assistant is one you actually use every day. OpenClaw puts your private AI directly into WhatsApp and Telegram — the apps you already have open — so you can get help and automate tasks without switching apps or paying monthly fees.

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 Workshop

Why Your Personal AI Assistant Needs to Be in WhatsApp to Actually Help

The best productivity tool is the one you use. An AI assistant in a separate app gets ignored. An AI assistant in your WhatsApp or Telegram gets used constantly. This workshop builds a productivity AI assistant directly in your existing messaging apps.

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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 as a Live Workshop?

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.

Workshop Curriculum

How to Build a Personal AI Assistant for Daily Productivity

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, and 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, and 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 Workshop 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 Productivity AI Assistant Development From a Real Expert

Rami Krispin uses and deploys personal AI assistants for his own productivity — not just for demos.

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. 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

Common Questions About Personal AI Assistants for Productivity

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

What productivity tasks can my personal AI assistant handle? +

Your personal AI assistant handles drafting and editing messages, summarising long texts, answering factual questions, brainstorming ideas, explaining concepts, reviewing and improving content, and through the skills system — automating routine workflows like scheduling reminders or looking up information.

How is an AI assistant in WhatsApp better for productivity than a web app? +

WhatsApp is already open on your phone and computer throughout the day. An AI assistant accessible through a message is faster to reach than opening a browser tab, logging in, and navigating a UI. The friction reduction from WhatsApp integration significantly increases how often you actually use your AI assistant.

Can my personal AI assistant for productivity handle voice notes in WhatsApp? +

The core workshop focuses on text-based conversation. Voice note transcription and multimodal capabilities require additional configuration beyond the 4-hour workshop scope. The instructor briefly covers what is possible for extension after completing the core setup.

Will my personal AI assistant help with coding and technical productivity tasks? +

Yes. Modern open weight models handle coding assistance, code review, documentation writing, and technical question answering effectively for most everyday coding productivity tasks.

How do I set up reminders through my personal AI assistant? +

OpenClaw's skills system supports proactive automation including scheduled reminders. The instructor covers the skills architecture during module five so you can configure scheduled tasks and reminders through your personal AI assistant after completing the workshop.

Is my conversation with my personal productivity AI assistant private? +

Yes. Your productivity AI assistant built with OpenClaw and Docker Model Runner processes all conversations on your own machine. None of your productivity conversations — including sensitive work information — are sent to any external AI service.