Open Source

Turtleand OpenClaw

Learn to deploy and manage persistent AI agents. Tutorials, security guides, and practical examples.

Module 0: Setup & Safety

Getting started with persistent AI agents safely

Deploy an always-on AI agent on a cloud server with messaging and security.

Send voice messages to your AI agent and have them transcribed and executed.

Configure Git access so OpenClaw can develop on your behalf while you're away.

Schedule recurring tasks, reminders, and automated check-ins with OpenClaw's built-in cron system.

Run Claude CLI commands through OpenClaw and monitor your Anthropic usage limits.

How sub-agents work, why they're isolated from your main session, and what happens when you change settings mid-flight.

Convert TTS output to OGG Opus so Telegram voice messages get proper speed control buttons.

Core patterns for working with AI agents

Same banner brief, two approaches: a standard image model vs OpenClaw generating code. The results tell you where AI actually adds value.

How to monitor and optimize spending when your AI agent runs on pay-per-token APIs.

How to audit, classify, and migrate scheduled AI tasks when switching providers.

What happens when your only model provider disappears, and how to design for it.

How to use different AI models for different tasks instead of running everything on one.

What happens when a sub-agent hangs, and the three-layer system to handle it.