The prompt

Follow-Up After No Response guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.

text prompt
A candidate for {{jobTitle}} at {{companyName}} has not responded to my initial outreach sent {{number}} days ago via {{linkedinEmail}}. I know they are a strong fit because {{reason}}. Write 3 different follow-up messages I can choose from: 1. The "new information" angle — share something that was not in my first message (suggest what kind of info to include) 2. The "social proof" angle — mention a recent hire or team success story 3. The "low-pressure value offer" angle — offer something useful whether or not they are interested in the role Each message should be under 80 words, avoid phrases like "just bumping this up" or "circling back," and feel like a new conversation rather than a reminder of an ignored one.

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Customized prompt755 characters
A candidate for a specific job title at Northstar Studio has not responded to my initial outreach sent a specific number days ago via a specific linkedin email. I know they are a strong fit because a specific reason. Write 3 different follow-up messages I can choose from: 1. The "new information" angle — share something that was not in my first message (suggest what kind of info to include) 2. The "social proof" angle — mention a recent hire or team success story 3. The "low-pressure value offer" angle — offer something useful whether or not they are interested in the role Each message should be under 80 words, avoid phrases like "just bumping this up" or "circling back," and feel like a new conversation rather than a reminder of an ignored one.

Useful structure, room to move.

Follow-Up After No Response guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.

The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.