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.