3. Why Arca

AI-assisted work creates more than a final output. It also creates a record of how people prompt models, explore ideas, debug problems, use tools, and iterate toward a result.

This workflow data can be valuable, but it is difficult to evaluate and reward fairly:

• Public code and discussions provide limited new insight because they are already widely available.
• Final outputs rarely reveal the prompts, failed attempts, debugging steps, and AI-assisted decisions behind them.
• Session data may be duplicated, incomplete, manipulated, or unrelated to the submitted work.
• Private workflows provide richer context but may contain sensitive prompts, responses, tool outputs, code, and repo content.

Arca’s Approach

Arca enables Contributors to securely submit private AI coding workflows in privacy-preserving way:

• Selected data is anonymized before upload.
• Arca applies authenticity, eligibility, duplication, and quality checks to each submission.
• Public, duplicate, incomplete or ineligible submissions, and submissions with too little real AI interaction, may be rejected.