Prompt generator: start from a topic
You type "cover letter" or "Instagram caption" and get a full prompt back. That is useful when you have no draft and the job is common. The catch: the generator does not know your situation, so the prompt is generic until you fill in the details.
Prompt optimizer: start from your own draft
You paste the prompt you were about to send. The optimizer keeps your task and adds what is missing: a role, the reader, the output format, and limits. Your intent stays, and the answer gets more specific. See the five checks an optimizer runs.
Side by side
Generator input: "cover letter"
Result: a general cover letter prompt with blanks for the job, company, and your experience.
Optimizer input: "write a cover letter for the junior designer job at a small agency, I have 2 years of freelance work"
Result: the same request with a role (hiring manager's view), the reader, a three-paragraph format, a length limit, and a line asking the model not to invent experience.
Which one PromptMaster is
PromptMaster is mainly an optimizer: it grades the prompt you paste, Quill's notes say what is missing, and Pro writes the improved version. It also has a prompt of the day and about 30 ready prompts with fill-in blanks for when you want to start from a template.
Questions
Can I use both?
Yes. Start from a ready prompt, add your details, then grade it to see what is still missing.
Which gives better answers?
The one with more specific details about your situation. That usually means an optimized version of your own draft.
Prompt library vs grader · ChatGPT prompt examples · What is free