According to @julian2kwan, any venture fund or investor can create custom GPTs configured with competitive landscapes, new business models, and AI industry developments to analyze portfolio companies more effectively (source: @julian2kwan, X, Sep 14, 2025). He recommends running quarterly reports through these GPTs from a different analytical angle than the C-suite or founders to generate more proactive, value-add insights for decision-making and oversight (source: @julian2kwan, X, Sep 14, 2025). He characterizes this approach as more proactive than simply reading a quarterly report and asking a few questions, positioning AI agents as an operational research workflow rather than a passive review tool (source: @julian2kwan, X, Sep 14, 2025). He also states that @IxsFinance has agents built for every department and is all-in on using AI tools to 10x people reach and products, underscoring a full-stack adoption model for investment operations (source: @julian2kwan, X, Sep 14, 2025). For crypto-focused investors, the same workflow—custom GPT setup plus running token or company quarterly updates through the agent—can be directly applied to portfolio projects to accelerate due diligence, competitor mapping, and monitoring, consistent with his recommendations to use GPTs for proactive research (source: @julian2kwan, X, Sep 14, 2025).