DaisiBot Mastery Course

A hands-on course that takes you from zero to confidently running your own decentralized AI assistant — across terminal, desktop, mobile, and web.

How This Course Works

Each module builds on the previous one using evidence-based learning techniques: scaffolded progression (simple → complex), active recall checkpoints (quiz yourself at the end of every module), and concrete examples tied to real DaisiBot workflows.

Work through the modules in order. By the end you will be able to run local inference, manage conversations with multiple think levels, install and create skills, deploy autonomous bots, and keep everything secure.

Modules

1 · Architecture & Core Concepts

What DaisiBot is, how the DAISI network works, and the mental model you need before touching any config.

2 · Prerequisites & Installation

System requirements, building from source, and what happens on first launch.

3 · Configuration & Host Mode

User settings, host mode vs. DaisiNet, model management, and ORC connection.

4 · Conversations & Chat

Think levels, streaming responses, slash commands, and chat statistics.

5 · Skills & Marketplace

Browsing, installing, creating, and publishing AI skills.

6 · Bots & Automation

Autonomous agents that plan, execute, and report back on a schedule.

7 · Security Best Practices

Authentication, tool permissions, skill review, and protecting your keys.

8 · Next Steps & Roadmap

Recommended features, community contributions, and where the project is heading.