Building Systems with the ChatGPT API

What the course is really teaching

A single well-written prompt handles simple requests, but real tasks usually need several steps that depend on each other. This course treats each model call as one part of a larger system, so the skill on offer is decomposition: splitting a messy task into ordered stages, chaining the calls, and automating the handoffs between them.

Who should take it

Developers and product builders who already call an API from code will get the most out of it. If your prompts work once and then drift, the evaluation material speaks directly to that problem.

Key takeaways

• Breaking a request into smaller steps often beats one long prompt.
• Chaining calls only helps when each output is checked before it feeds the next step.
• Screening inputs and outputs for safety and relevance belongs in the design from the start.