Stop using vanilla ChatGPT. Stop using vanilla Claude. The difference between a generic LLM and a high-context project is the difference between asking a stranger to review your PRD and asking a colleague who's sat in every meeting with you for 6 months. Four data sources make a Claude project actually useful: 1. Your performance reviews. The LLM needs to know how your leadership evaluates you. If your VP told you that you bury the lead, every status update it drafts will lead with the decision instead. 2. AI-transcribed meeting notes from high-stakes meetings. One-on-ones with your boss, your designer, your engineering manager. Full context on relationships and priorities. 3. Your dictated thoughts. Worries about the upcoming quarter, features you're excited about, things going sideways. Stream of consciousness that gives the project your actual mental model. 4. Your strategy, vision, and roadmap docs. The one your CPO created, the one your CEO created. The full strategic context. With those four inputs, a Claude project can draft status updates that actually match your communication style, simulate a hard conversation with your CRO before you walk into the meeting, analyze your calendar and tell you which meetings to skip, and maintain a product scrapbook that feeds directly into planning cycles. 8 use cases, the full project setup, and a head-to-head comparison of vanilla vs. high-context output in the talk.