Automated Proof-Log for AI Agents: A New Era of Transparency
infrastructure#agent📝 Blog|Analyzed: Feb 27, 2026 16:15•
Published: Feb 27, 2026 16:14
•1 min read
•Qiita AIAnalysis
This article introduces an innovative system called "proof-log" designed to automatically record the actions of an AI agent, specifically Claude Code. This development addresses the crucial need for audit trails in AI, ensuring transparency and accountability. The system's layered structure provides a robust and accessible method for verifying AI operations.
Key Takeaways
- •Proof-log automatically tracks an AI agent's operations, even when the agent's memory is reset.
- •The system utilizes a three-layer architecture to ensure comprehensive logging and easy readability.
- •The design employs hooks to trigger logging actions based on specific events within the AI's workflow.
Reference / Citation
View Original""AI needs an audit log. A mechanism to record, as fact, what the AI did, without relying on the AI's memory. This is the purpose of proof-log.""