White Papers
In-depth research and practical guidance from Norton Design Lab on incentive compensation, IC data and platform strategy, and sales force effectiveness for pharma and life sciences commercial teams. Download our latest white papers below.
Frontier Results on a Local Framework: What 1,100 Scored Outputs Say About Trusting Cheap AI
A summary of the full white paper: three instruments, five runs, 1,100+ scored outputs, one production decision. If you produce technical writing from source material, you face two problems that compound each other: trust and cost. Cheap AI models fabricate statistics, and the AI judges commonly used to catch fabrication often approve it. This paper examines a tested, MIT-licensed reference implementation and what the results mean for trusting low-cost AI in production.