The companion you didn't know you needed
AI Lab goes deep. We explore the mechanics, the implementation details, the real-world setups. That's valuable when you're building something or solving a specific problem.
But sometimes you just need the principle. Fast.
That's what the Human-AI Collaboration Handbook is for.
AI Lab vs Handbook: different tools for different moments
AI Lab: You're implementing a multi-tool workflow. You need to understand how the pieces fit together, what the edge cases are, how to debug when things break. You read the full topic, follow the examples, adapt to your setup.
Handbook: You're about to start a session with Claude. You want to remember the core principle: "Start with outcome, not steps." You check the Handbook, get the 30-second reminder, close the tab, go build.
They're not competing. They're complementary.
What's inside
The Handbook covers six categories:
- Mindset: How to think about AI collaboration (not delegation)
- Workflow: Practical patterns for daily work
- Economics: Cost management and model selection
- Quality: Output standards and iteration strategies
- Organizational Knowledge: Memory systems and context management
- Human Element: Maintaining agency and preventing learned helplessness
Each principle is short, opinionated, and builder-focused. No theory for theory's sake.
Open source, like everything else
The Handbook is built with Astro Starlight and hosted on Netlify. Source is on GitHub. If you see something that should be there and isn't, open an issue or PR.
We built it because we kept forgetting our own best practices. Now they're a bookmark away.
When to use each
Use AI Lab when you're:
- Building a new capability
- Debugging a workflow
- Understanding how something works
- Looking for implementation examples
Use the Handbook when you're:
- Starting a work session
- Stuck on a collaboration pattern
- Training someone new
- Needing a quick reminder
Both live at lab.turtleand.com and handbook.turtleand.com. Bookmark them both.