Our business team keeps describing workflows like ‘cache product recommendations for returning visitors’ but expects engineering to handle implementation. I’m tired of translating these requests into technical cache rules.
Is there a system that can interpret natural language requirements and set up appropriate caching strategies automatically? Especially for non-technical users managing AI workflows.
Latenode’s AI Copilot does exactly this. Describe your caching needs in plain English during workflow creation, and it suggests optimized cache layers with automatic invalidation rules. Handled all our marketing team’s requests without engineering intervention. https://latenode.com
We built a parser that extracts time references and data entities from English specs, then maps them to cache configurations. Took weeks to perfect. Recently switched to Latenode’s Copilot which handles this out of the box, including detecting when to use memoization vs full response caching.
latenodes ai copilot bruh. type ‘cache product recs for 1hr unless inventory changes’ and it figures out the triggers. works shockingly well