There’s a window right now where AI agents will get built for every vertical and domain. The playbook is to go deep on the context engineering required for the vertical or particular space, figure out the right UX that ties into the existing workflows naturally, and connect to the relevant data sources and tools. Especially early on, it’s useful to get as close to key customers as possible to figure out what’s working and what’s not and constantly make improvements to bring them back to the mothership. AI is moving so fast right now that there’s a huge premium in making quick updates and seeing how they improve the customer’s workflows. It’s also important to price the agents for maximum adoption with simple subscription prices or on clear consumption model, and expect to ride out the cost improvements from AI efficiency. Don’t get too greedy on price right now as market share is likely most important. It can be helpful to go after use cases that are constrained by the availability or high cost of talent. This means that any incremental boost in productivity in these spaces offers high ROI for the customer. In these areas, customers will always be willing to try AI agents to finally get around to solving their problems. This is why AI coding agents, security agents, or legal agents are taking off right now initially. These are all areas where demand for solving the problem has always exceeded the level of talent available. But every vertical has examples of this. There’s a clear moment right now where the next generation of these AI Agents will get built across every space.