When applying for jobs, I noticed most AI resume tools optimize for keywords first and accuracy second. They can generate impressive looking resumes, but often by introducing skills, achievements, or metrics that candidates can't confidently defend in an interview. I built ApplySmooth to take the opposite approach. Every suggestion starts from the experience already on your resume. Instead of fabricating content, the platform analyzes the job description, identifies gaps, highlights weak evidence, and recommends improvements that stay grounded in your real background. Along the way, that led to features like proof gated rewrites, connects job requirements to resume content, and a prioritised Fix Queue that helps users focus on the changes with the biggest impact. ApplySmooth is built for job seekers who want a stronger resume without crossing the line into exaggeration. I'd love to hear your feedback, feature requests, and thoughts on where resume tailoring tools get it wrong today.

ApplySmooth

Turn job descriptions into targeted resumes

Turn job descriptions into targeted resumes