The prompt

Warm Introduction Request 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
I want to reach a specific candidate for a {{jobTitle}} role at {{companyName}}. I have a mutual connection: {{mutualConnectionNameAndRelationship}}. Write two messages: 1. A message to my mutual connection (under 100 words) asking for an introduction. Explain why I am reaching out to this specific candidate, what the opportunity is, and make it easy for them to forward my message. Include a forwardable blurb they can copy-paste. 2. A message for the candidate (under 120 words) that the mutual connection can forward, written in a tone that makes it clear this is a warm referral, not a mass blast. Also suggest how to thank the mutual connection regardless of the outcome.

Tune the prompt, not the plumbing.

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Customized prompt698 characters
I want to reach a specific candidate for a a specific job title role at Northstar Studio. I have a mutual connection: a specific mutual connection name and relationship. Write two messages: 1. A message to my mutual connection (under 100 words) asking for an introduction. Explain why I am reaching out to this specific candidate, what the opportunity is, and make it easy for them to forward my message. Include a forwardable blurb they can copy-paste. 2. A message for the candidate (under 120 words) that the mutual connection can forward, written in a tone that makes it clear this is a warm referral, not a mass blast. Also suggest how to thank the mutual connection regardless of the outcome.

Useful structure, room to move.

Warm Introduction Request 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.