Turn "did stuff" into "delivered $2.4M in pipeline revenue"
Recruiters spend 7 seconds on a resume (Ladders). Vague duties get skimmed. Quantified achievements get interviews. This skill takes your job duties and accomplishments and rewrites them with specific numbers, percentages, and business impact — even when you don't think your work is measurable.
Help me quantify my work achievements for my resume. I'll describe what I did in each role and you'll help me turn vague duties into quantified accomplishments. For each item I share: (1) Ask me specific questions to extract numbers: How many people? What budget? What timeline? What was the before/after? What did it save or generate? (2) Rewrite the bullet point with quantified impact — start with a strong action verb, include the specific number or percentage, and tie it to business value. (3) If I genuinely don't have exact numbers, help me estimate reasonably. (4) Show me the before and after so I can see the improvement. My role: [job title at company] What I did: [describe your responsibilities and accomplishments in your own words]
Describe what you did in a role — even in vague, conversational terms.
Your Claw asks targeted questions to uncover the numbers hiding in your
work, then rewrites each bullet point with quantified impact that makes
recruiters stop and read.
One job description in, one optimized resume out
Stop spending 45 minutes tailoring each resume by hand. Paste a job description and your master resume, get back a targeted version with the right keywords, reformatted experience bullets, and ATS-friendly structure — in seconds.
Job-specific cover letters without the existential dread
68% of hiring managers still expect a cover letter (ResumeLab), but writing a unique one for each of 100+ applications is soul-crushing. Paste the job description and your resume — get a personalized, non-generic cover letter that actually sounds like a human wrote it.
Turn every "no" into usable data for your next "yes"
Turn rejection patterns into useful signal so you can adjust your search instead of guessing.
Wikipedia-grade AI pattern removal
Comprehensive AI writing cleanup based on Wikipedia's WikiProject AI Cleanup guidelines. Catches 24+ distinct patterns including inflated symbolism, em dash overuse, rule of three, copula avoidance, and sycophantic tone.