Enable users to connect multiple projects so that the AI assistant in one project can access and reference information from linked projects - including files, chat history, and accumulated knowledge. Example Use Case Scenario: Managing marketing strategy and social media execution Project Setup: Project 1: Marketing Strategy Development (brand positioning, campaign themes, target audiences, messaging frameworks) Project 2: Social Media Captions & Campaigns (daily posts, ad copy, campaign execution) Current State (Isolated Projects): You develop a Q1 campaign strategy around "sustainability leadership" in your Marketing Strategy project. When you jump to your Social Media project to create captions, the AI has no idea about this strategic direction. You have to manually explain the campaign theme, paste in messaging guidelines, or duplicate strategy documents. With Cross-Connection: Your Social Media project automatically knows about the sustainability campaign strategy. When you ask it to "create this week's Instagram captions," it references your strategic positioning, brand voice guidelines, and campaign objectives from the Marketing Strategy project - creating content that's perfectly aligned without you having to repeat yourself. Conversely, when planning your next campaign in the Marketing Strategy project, the AI can reference what's actually performing well in the Social Media project (popular posts, engagement patterns, messaging that resonated) to inform strategic decisions. Result: Strategy informs execution. Execution insights feed back into strategy. No manual bridging required.
