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This project adds an auditable academic research pipeline to Claude Code, including checkpoints such as citation verification and experiment claim alignment, ensuring the credibility of research outputs.
The author shares their experience using a visual tool called architect by Lyzr to orchestrate multi-step AI agent pipelines, highlighting easier state tracking and debugging compared to traditional automation tools.
HuggingFace released ML-Intern, an open-source pipeline that automates the daily workflow of machine-learning researchers from a single prompt.