ChatGPT cannot directly automate real-time systems in startup projects because it fundamentally lacks the capability to interact with physical hardware, process sensor data, or control actuators in a deterministic, low-latency manner. Instead, its utility lies in acting as a powerful development assistant, accelerating various stages of a real-time system's creation. For example, it can generate boilerplate code for drivers, API interfaces, or middleware, as well as assist with drafting test cases and system documentation. While this significantly boosts developer productivity and reduces initial coding burdens, the actual deployment, optimization, and especially the safety-critical logic and performance guarantees must be meticulously handled and validated by human engineers. Therefore, startups can leverage ChatGPT to streamline development workflows and generate supporting assets, but the ultimate automation and integrity of real-time systems remain human responsibilities. More details: https://clients1.google.iq/url?q=https://abcname.com.ua/