Guides
Practical, evergreen guides on working with large language models and the tools around them. A new guide is added every month.
- Write better prompts
A repeatable way to give AI systems clear goals, useful context, and checkable requirements.
- Verify AI-generated work
A risk-based checklist for checking facts, calculations, code, and recommendations before relying on them.
- Use AI with sensitive data
A practical method for deciding what data to share, reducing exposure, and choosing safer workflows.
- Codex CLI best practices
A practical workflow for scoping tasks, supplying context, steering the agent, testing changes, and reviewing the diff.
- Best practices for Claude Code
A practical, evergreen walkthrough for getting reliable results from Claude Code.
- Write an effective AGENTS.md
How to give Codex durable repository guidance without filling its context with vague or stale rules.
- Codex CLI permissions and sandboxing
Understand sandbox modes, approval policies, network access, protected paths, and safer automation defaults.