Short answer: Quick answer: turn the job description into an input pack: must-have requirements, desired outcomes, company context, and collaboration signals. Map only the strongest requirements to evidence you can prove, ask questions for missing proof, then audit generic or unsupported lines before sending.
Applicants who already have a draft or proof notes and need to adapt the letter to a specific job description, job offer, or role posting.
Avoid using it to copy every bullet, invent employer research, hide missing proof, or stuff the letter with keywords from the posting.
Paste the job offer, build a signal-to-proof table, answer missing-proof questions, then rewrite only the paragraphs that do not match the role.
Build an input pack from the job offer
Do not paste the offer and ask for prose immediately. First split the job description into must-have requirements, desired outcomes, company context, collaboration signals, and tone clues.
Pick the top three signals
Do not answer every bullet. A good letter answers one or two signals deeply and leaves the rest to the resume. Mark any strong signal with no proof as a gap.
Map each signal to proof before rewriting
For every signal, write one resume proof point, source, and confidence level. If you cannot prove it, ask a follow-up question instead of letting AI pretend you can.
Prompt
FAQ
Can AI adapt the same cover letter to many jobs?
It can adapt structure, but each job offer needs fresh proof mapping. Reusing the same evidence without checking the role signal makes the letter interchangeable.
What should I check before sending?
Check that every claim has resume proof, the company reason is verified, missing requirements are not hidden, and no paragraph could fit any other job unchanged.