Build an Open Source ChatGPT Replacement That Is Genuinely Better for Daily Use

OpenClaw is open source under a permissive licence — meaning you can inspect the code, modify it, and deploy it however you like. It uses open weight models through Docker Model Runner for AI inference — no proprietary AI APIs required. It connects to WhatsApp and Telegram natively — which ChatGPT cannot do. And it has a skills system that makes it extensible beyond what ChatGPT offers.

Yes. Participants consistently report using their OpenClaw assistant as their primary AI assistant after completing the workshop. The WhatsApp and Telegram integration makes it genuinely accessible — you interact with your private AI through the same messaging apps you use every day. No new interfaces to learn.

For the use cases most people use ChatGPT for — answering questions, helping with writing, summarising content, and general conversation — modern open weight models like Llama 3 and Mistral 7B perform very well. The quality gap between open source and proprietary models has narrowed dramatically in 2026.

Yes. The open source licences for both OpenClaw and the models used (Llama, Mistral, Phi) permit professional and commercial use in most cases. The instructor covers the relevant licence considerations during the workshop so you understand what is permitted for your specific use case.

OpenClaw releases updates regularly on GitHub. Updating is straightforward — pull the latest version and restart. Open weight models also release new versions periodically. Docker Model Runner makes pulling model updates simple. The instructor covers the update process during the workshop.

The key advantages are: complete code transparency so you know exactly what your AI assistant does with your data, ability to modify and customise every aspect of the system, no vendor lock-in or risk of service changes, zero ongoing AI inference costs, native messaging app integration, and a vibrant open source community continuously improving the tools.