Context in AI refers to the essential, relevant information and history an AI system maintains to make informed, coherent decisions and generate consistent responses. For an AI agent, maintaining accurate context – which includes conversation history, user request details, and external data – is key to preventing confusion.
Spiral Scout engineers AI agents with robust context engineering to ensure their behavior is consistent throughout complex, long-running workflows.
I have a 3 year daughter, and for the last year, I have been hearing the ABCs sung at the top of her lungs most weeks. Then today as I was beginning to write this post, I heard ABCs again and thought I would use that alphabet “theme” for our guide to customizing your Shopify […]
At Spiral Scout, our vision is to see every great idea have the best chance to come to life. That’s why we pair the world’s top software engineers with ambitious organizations—big and small—to scout and solve problems through innovation.
AI-Powered Strategies for Data Format Negotiation in Large-Scale E-Commerce Systems A typical e-commerce platform handles thousands of transactions daily, connecting to multiple payment gateways, shipping services, and inventory systems. In a system like this even a tiny discrepancy in the product data feed format, like a date written differently in one system, can cause a […]
