The prompt

Address ATS Keywords 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
Optimize my cover letter for ATS keywords. Job posting: {{sourceText}}. Current letter: {{sourceText}}. Include: extract top 15 keywords from posting (skills, tools, certifications, soft-skill phrases), check which are missing from my letter, weave the missing ones in naturally (no keyword stuffing), preserve readability for human reviewer. Output: revised letter + keyword-match score (X of 15 covered).

Tune the prompt, not the plumbing.

Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.

Customized prompt482 characters
Optimize my cover letter for ATS keywords. Job posting: Paste the relevant source material and context here.. Current letter: Paste the relevant source material and context here.. Include: extract top 15 keywords from posting (skills, tools, certifications, soft-skill phrases), check which are missing from my letter, weave the missing ones in naturally (no keyword stuffing), preserve readability for human reviewer. Output: revised letter + keyword-match score (X of 15 covered).

Useful structure, room to move.

Address ATS Keywords 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.