Why your AI needs more context | @TiffInTech
Continuous context across agent handoffs separates useful AI tools from throwaway demos
“Maintaining deep, continuous context across an entire handoff is the literal difference between a throwaway demo and a tool that actually changes how you work.”
A Salesforce-sourced short-form video argues that AI agents fail when they lack persistent context about the user's history and current events. The core insight is that context continuity across handoffs is the defining quality gap between demo-grade and production-grade AI tools. While the point is valid and broadly relevant, this is an educational/marketing piece rather than a new announcement or research finding.