> For the complete documentation index, see [llms.txt](https://documentation.pulseap.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.pulseap.com/core-concepts/modular-machine-architecture.md). # Modular Machine Architecture **Modular Machine Architecture** is about giving robotics and automation builders the freedom to innovate without being locked into restrictive systems. In most current setups, machines are confined within a single company’s hardware and software stack, where control logic, APIs, and operating environments are tightly connected. Changing one element often means replacing half the system. **Pulse AP’s** architecture removes that problem. By separating the layers, from control software to AI models, each component can be swapped, upgraded, or reconfigured independently. Builders can keep their existing hardware, test new control programs, or deploy improved AI systems without affecting the rest of their setup. Because **Pulse AP** runs on open, decentralized infrastructure, a robotic arm developed in one region can work together with a drone from another while sharing data instantly. Different machines, different manufacturers, all operating on one unified network. It is not just about making them compatible. Through **Pulse AP’s Proof of Utility**, every verified action, whether it is a scan, a movement, or a completed job, is recorded and rewarded on-chain. This turns machines from isolated tools into active participants in a global, continuously evolving ecosystem. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://documentation.pulseap.com/core-concepts/modular-machine-architecture.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.