Pinned
The model layer is moving fast. Prices, speed, and capability are all changing. Enterprises shouldn’t have to rebuild their AI stack every time it does. We built @glean for this reality, a model-agnostic context and intelligence layer that lets companies use the best model for- AI is exposing a workflow design problem, not just a productivity problem. When the cost of building falls, the scarce resource is knowing what is worth building. The key advantage goes to teams that can create shorter loops between evidence, decisions, and action.
- Over the next few months, I expect more AI vendors will announce indexing capabilities, reflecting a broader recognition that indexing, and a system of context built on it, is foundational to enterprise AI. The important question is how deep, permission-aware, and
- The model market is changing faster than most enterprise AI architectures can absorb. New frontier models arrive every few months. Open-weight models are improving on cost, portability, and deployment flexibility. Frontier models will continue to push the edge of what AI can do.
