Documenting AI usage transparently

Documentation builds trust and accountability. It shows how AI contributed without hiding human oversight. Good records also help teams learn and improve their AI use over time.

Create templates that capture:

• Task goal and AI's role
• Prompts used (especially successful ones)
• Verification methods applied
• Human modifications made

This aligns with the prompting framework's Iterate principle. Document how prompts evolved and why and save both failed and successful attempts. Others learn from your experiments.

Share documentation openly. Use collaborative tools where teams can comment and improve. This transparency protects everyone and speeds up learning.