Understand the problem. Learn by doing. Use AI with human judgement.
Welcome to the Digital Leadership Academy's open GitHub community, led by Darryl Munro.
We are starting a shared space for people exploring practical, responsible ways to work with AI agents. The aim is not more automation for its own sake: it is better decisions, useful changes and honest evidence about what actually helped.
You do not need to be a developer to contribute. Questions, clearer explanations, practical examples and accounts of what did not work are valuable contributions.
| Repository | What you can do |
|---|---|
| The Daz Method | Start with a real problem, agree what matters and choose the simplest useful intervention. Try the Markdown templates and help shape future agent skills. |
| DLA Learning Lab | Try a small AI-agent experiment, record the human decisions and share what you learned. |
- People make the decisions; agents help hold the discipline.
- Agree criteria before generating solutions.
- Use the simplest intervention that meets the need. Sometimes that means no AI.
- Measure the outcome, not just the output.
- Share learning without sharing confidential information.
Choose a repository, read its contribution guide and try one small activity. Open an issue with a question or a learning report, or propose an improvement through a pull request.
Both repositories are early community drafts. The Daz Method's installable agent skills and delivery-tool adapters are planned, not available yet.
