AI Superagent works like a CAM programmer. Within ENCY, it can access the workflow, analyze the task, make decisions, and act as the process unfolds. This is the key difference between a conventional AI chat and an agentic AI system built for an AI-first CAM workflow.
One of the two core scenarios is working with a 3D model. A user uploads a model and assigns a task, and AI Superagent approaches the part like a technologist: it develops a machining strategy, determines how to implement it in ENCY, creates operations, adjusts parameters, runs calculations, checks simulation results, and refines the outcome when needed.
The second core scenario is working with an existing project. AI Superagent can connect not only to a new model, but also to an active project: continue the work, make changes, help refine the solution, and move forward from the project’s current state rather than starting from scratch.
AI Superagent can also work autonomously from start to finish. At the same time, the human does not disappear from the process. At any point, the user can step in, stop the workflow, refine the requirements, adjust the material, machine, surface finish targets, or any other condition. In other words, AI-first CAM workflow does not remove the CAM programmer from the loop — it changes the role of the programmer inside it.
