Stop Paying Monthly for AI — Build Your Own Private Assistant That Costs Nothing to Run

For personal assistant tasks — answering questions, summarising content, helping with writing, coding assistance, and daily productivity — modern open weight models like Llama and Mistral running locally are excellent. They are not identical to GPT-4 but for the majority of everyday AI use cases the quality difference is minimal. This workshop helps you select the best model for your specific use cases.

After this workshop your private AI assistant runs at zero ongoing cost. You pay nothing for the open weight model, nothing for Docker Model Runner, and nothing for OpenClaw. The only cost is the hardware you already own. No subscription. No API fees. No usage limits.

ChatGPT Plus costs around $20 per month — approximately $240 per year. Claude Pro is similar. By building your own private AI assistant in this workshop you eliminate that ongoing cost entirely. The workshop fee pays for itself within a couple of months of cancelled subscriptions.

Response speed depends on your hardware. On a modern laptop with 16GB RAM running a 7B parameter model through Docker Model Runner you can expect around 10 to 30 tokens per second. This is slower than cloud APIs but perfectly usable for a personal assistant. With a GPU the speed improves significantly.

Yes. Many developers use their private OpenClaw assistant for sensitive or personal tasks and cloud AI for tasks requiring the highest capability. This workshop gives you the option — not forces you to choose one exclusively.

OpenClaw is designed to be extensible. The workshop covers the architecture so you understand how to add skills, connect to external services, and extend your assistant's capabilities over time. For the majority of everyday tasks your locally running model will perform excellently.