Research

Remberg CEO David Hahn uses a reusable ChatGPT prompt to research prospective customers, covering business models, finances, competitors and news. He reports saving at least ten minutes per research task. The article provides no independent timing study.

FutureHouse uses Claude for agents that search literature, create cited reports and assess whether hypotheses have precedents. Its Aviary framework is open source. The story claims literature reviews can take days instead of months but does not publish a quantified time-saving study.

Quillit uses Claude to summarize interviews, query qualitative datasets and attach references to transcripts or recordings. The vendor claims up to 80% less report-writing time. It reports internal citation accuracy of 89% to 98% with Claude 3.5, so references still require checking.

Moderna uses ChatGPT Enterprise to extract facts and assumptions from evidence packages and draft target product profile sections. It reports that a core analytical step sometimes fell from weeks to hours. No detailed timing study is published in the case.

Wayfair researchers used Cursor agents to implement and evaluate 110 variants of a product-attribute validation model. The company reports a measured 94% inference-cost reduction, with the selected architecture entering production. A later sprint reported a further 90% reduction.

Novo Nordisk uses Claude in NovoScribe to draft clinical documentation from expert-approved text and study-specific variables. Claude Code helped build the platform. The company reports 90% less writing time for clinical study reports; human review and approval remain part of the process.

A University of Arizona astrophysicist uses Codex to propose numerical approximations and algorithms for plasma simulations. He reports generating candidates in minutes instead of days. Each approximation still requires scientific implementation and verification.