A Financial ML Agent Builder Should Produce Audit Artifacts, Not Just Answers
中文摘要
金融机器学习智能体应提供审计伪影（如日志和快照）而非仅提供答案，以增强研究的可检查性与可回放性。
English Summary
Financial ML agents should provide audit artifacts like logs and state snapshots, not just answers, to enhance research inspection and replayability.
Original Excerpt
Why agent specs, state snapshots, artifact hashes, and ordered event logs make AI-assisted research easier to inspect and replay. Continue reading on Medium »