AI & ML Research 3 Hours

Last updated: April 22, 2026, 11:30 AM ET

ML Workflow & Methodology

Practitioners are moving beyond iterative testing, building repeatable AI workflows by leveraging advanced LLM capabilities, such as Claude Code Skills, to structure complex tasks like customer research interviews into automated pipelines. This organizational shift necessitates a renewed focus on scientific rigor, as researchers seek to combat "prompt in, slop out" by anchoring LLM outputs to established scientific methodology frameworks, ensuring model outputs remain grounded and verifiable in academic practice.