Things every AI app startup says today to justify their defensibility: 1. We support multiple models. Our customers do not want to lock in to one vendor. 2. We have a data moat. We post-train open-source models to be much better and cheaper than closed-source. 3. We do deep integrations to help our harness use our "context graph" and build custom workflows. In the best case, this is actually true. In many cases, it is hilariously false.