Here's something I've been thinking about lately: AI tools are incredibly powerful, but they often lack the context that makes solutions truly effective. It's like having a universal translator that knows all languages but doesn't understand cultural nuances.
At my company, we've been working on ways to bridge this context gap, creating environments where we can safely test and adapt AI-generated solutions to our specific needs. I'm curious how others are handling the challenge of contextualizing AI recommendations in their work.
At my company, we've been working on ways to bridge this context gap, creating environments where we can safely test and adapt AI-generated solutions to our specific needs. I'm curious how others are handling the challenge of contextualizing AI recommendations in their work.