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.
Product proof
See the product surface behind the claim.
Each page carries the matching RoleWorth surface in a glass-framed proof card: the radar, extension overlay, ATS matrix, review queue, dashboard, or package flow behind the promise.
The public promise, visible above the fold: score first, package second, approve before anything leaves.
Batch scan, ghost-risk skipped count, high-worth jobs, and Apply/Maybe/Skip routing in one product surface.