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Case Submission

We welcome community-contributed tutorials and use cases. Every contribution helps someone discover a new way to use AI in their work.

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Content Principles

All submissions must follow these five principles:

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Tutorial Structure

Each tutorial should follow the five-element structure used throughout our Tutorials section:

1. Scenario — A real work situation the reader will recognize
2. Materials — Files, data, or context needed to start
3. Steps — Step-by-step walkthrough (screenshots welcome)
4. Deliverable — The concrete output produced
5. Acceptance Criteria — How to verify the result is correct

Note deployment differences (Local WebUI / Tauri Desktop / SaaS Cloud) where relevant.

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Submitting

1. Open a GitHub Issue in the myrm-agent repository with the label tutorial
2. Include your tutorial content in the issue body (Markdown format following the five-element structure above)
3. Attach any screenshots or supporting files
4. The maintainer team reviews your submission, then integrates it into the documentation site

One tutorial per issue for easier review.

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Review Criteria

Submissions are reviewed for:

• Adherence to the five content principles
• Completeness of the five-element structure
• Accuracy of steps and expected results
• Writing clarity and readability
• No product secrets, credentials, or PII