Personal Productivity AI — Local · Live · April 26

Build a Personal Productivity AI Assistant Running Locally — Free Forever

A personal productivity AI assistant running locally costs nothing per conversation, keeps your work conversations private, and connects to WhatsApp or Telegram for instant access. This live workshop shows you how to build one using OpenClaw and Docker Model Runner in 4 hours.

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
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
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By Packt Publishing · Refunds up to 10 days before

OpenClaw — 200K+ GitHub Stars
4 Hours Live Hands-On Coding
✦ By Packt Publishing
No Cloud Dependency Required
Certificate of Completion
Why Trust Packt

Over 20 Years of Helping Developers Build Real Skills

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108
Live workshops and events hosted on Eventbrite
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GitHub stars for OpenClaw — the tool you will master
100%
Hands-on — every session involves real code and live building
About This Workshop

Why a Locally Running Productivity AI Assistant Is the Best Choice

Cloud productivity AI assistants charge per use and process your work conversations on external servers. A locally running productivity AI assistant costs nothing per conversation and keeps your productivity data — including sensitive work content — completely private on your own machine.

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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 Local Personal Productivity AI Assistant

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

01

How OpenClaw Works

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

02

Docker Model Runner Setup

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

03

Security and Privacy

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

04

Connect to WhatsApp or Telegram

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

05

Scalable Architecture

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

06

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.

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

Your Instructor

Learn Local Productivity AI From a Docker Captain

Rami Krispin builds and uses locally running productivity AI tools in his own daily work.

Rami Krispin

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.

Prerequisites

Who Is This Workshop For?

You do not need to be an expert. You do need the basics.

Frequently Asked Questions

Common Questions About Local Personal Productivity AI Assistants

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

How does a locally running productivity AI assistant compare to cloud AI for work tasks? +

For most everyday productivity tasks — drafting, summarising, explaining, brainstorming — a locally running open weight model performs at a level comparable to cloud AI. The key advantages of local are: zero cost per query, complete privacy for sensitive work content, and no dependency on external services.

Can I use my local productivity AI assistant for confidential work conversations? +

Yes. This is one of the primary reasons to build a locally running productivity AI assistant. A locally running AI processes everything on your own machine — your confidential work conversations never leave your device.

How long does it take to get a response from a locally running productivity AI assistant? +

Response time varies by hardware and model. On a laptop with 16GB RAM using Mistral 7B, typical productivity queries receive responses in 5 to 15 seconds. For faster responses, Phi-3 Mini delivers results in 3 to 8 seconds at slightly reduced quality.

Can I access my locally running productivity AI from my phone? +

With VPS deployment your productivity AI assistant is accessible from any device through WhatsApp or Telegram. For laptop-only deployment the assistant is accessible when your laptop is running. The workshop covers both scenarios.

What happens to my local productivity AI assistant's knowledge cutoff? +

Open weight models have training data cutoffs. For productivity tasks requiring current information, the instructor covers how to configure OpenClaw skills that can fetch specific real-time information when needed, extending your local AI's utility beyond its training cutoff.

Can I customise my locally running productivity AI assistant's personality and focus? +

Yes. OpenClaw's system prompt configuration lets you customise your productivity AI assistant's communication style, area of focus, and behaviour. You can instruct it to be concise, technical, formal, or casual. The instructor covers personalisation configuration during the workshop.

Local Productivity AI Assistant · April 26, 2026

Ready to Build Your Local Personal Productivity AI Assistant?

4 hours. Live instructor. Local productivity AI assistant working by the end. Seats are limited.

Register Now →

Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing