Code and Theory and RealClearPolling: ContextLens

ContextLens: Introducing the first AI-driven anticipatory design system 

PROBLEM  

Polling data can be complex and challenging for readers to interpret when presented without context, limiting understanding of significant trends. Traditional static visualizations often lack the interactivity to explore deeper layers of information, requiring readers to search across multiple pages to gain a complete picture. Isolated data hinders the public’s abilities to comprehend dynamic insights, a limitation especially pronounced during high-stakes periods like the 2024 election cycle. Publishers also routinely struggle with organizing vast datasets into easily accessible and engaging content for their readers.  

SOLUTION 

 To address these challenges, Code and Theory worked with RealClearPolling to introduce ContextLens, a pioneering AI-powered data visualization and interpretation tool. This anticipatory design system leverages generative AI to intuitively adapt to the reader’s needs by displaying contextual information directly on the RealClearPolling platform. ContextLens can answer any questions asked by “reading” the page metadata to offer related data suggestions in real-time, transforming how readers engage with polling data on RealClearPolling, offering interactive, visual data summaries for easy comprehension of complex electoral insights. 

RESULTS

With 1,000 users per minute, a 99.99% stability rate, and a 3-second response time, ContextLens enhances reader engagement and provides publishers new advertising opportunities. The AI is designed with a focus on accuracy, reducing misinformation risks, while reinforcing RealClearPolitics’ commitment to unbiased, intelligent political reporting. 

About Code and Theory: The Code and Theory Network is the only technology and creative network with a balance of 50% creative and 50% engineers. Its unique makeup makes it the place where CMOs, CTOs and CIOs come together to drive results for their businesses.