Application kit
Cover letter draft you'll actually edit, not the one ChatGPT writes.
RoleWorth grounds the cover letter in your proof points — the projects, metrics, and scope you have already entered — so it doesn't read like generic AI output. The draft maps each paragraph to a specific JD requirement and a specific evidence claim. You edit, you approve, you send.
How the draft is built
- Extract JD's top 3 priorities (skills, scope, outcome language).
- Match each priority to your strongest proof point with quantified impact.
- Open with a hook tied to the company's stated problem, not "I'm excited to apply".
- Close with one specific question for the hiring team — signals research, not desperation.
- Render as editable text with proof highlights you can accept or rewrite.
Tells of generic AI cover letters (we avoid these)
- × "I am writing to express my strong interest in…"
- × Three adjectives where one verb would do.
- × Praising the company in a paragraph that could apply to any company.
- × Closing on "I look forward to discussing how I can contribute…"
FAQ
Why is this not just ChatGPT in a wrapper?
ChatGPT writes a generic letter because it has no record of what you actually shipped. RoleWorth grounds the draft in evidence points you've stored — projects, metrics, scope, dates — and matches them to the JD's stated needs. The output reads like a person who knows the role, not a model guessing.
Can I edit before it sends?
There is no auto-send. The draft renders in an editable surface with the proof points highlighted; you accept, rewrite, or discard each paragraph before the cover letter leaves the product. Submission to a recruiter or portal is always your manual click.
What format does it export?
Markdown, PDF, and DOCX export are live on Pro and Max. DOCX/PDF output is backed by the C-1 export QA matrix. Plain text is available for paste-into-portal flows. The free tier shows a watermarked preview so you can validate the draft is worth your time before paying.