According to God of Prompt on Twitter, advanced AI practitioners are adopting a technique called Progressive Context Loading, where context is loaded just-in-time rather than upfront. This approach involves retrieving, filtering, and injecting only the relevant information required for each step, instead of providing the AI with all data at once. The result is a 70% increase in response speed and elimination of 'context rot', which significantly enhances both AI workflow efficiency and output quality. This method offers substantial business opportunities for developers and enterprises aiming to scale AI-powered applications and optimize resource usage in large language model deployments (source: @godofprompt, 2026-01-12).