Job Application Tailor

The problem

Generic AI-generated applications are easily spotted by recruiters and filtered by ATS systems. Job seekers waste hours manually mapping their experience to job descriptions without knowing if they are using the correct keywords or eliminating AI writing patterns.

What it does

• Extracts hard and soft requirements from job postings to identify exact ATS keywords.
• Maps your specific, quantified achievements directly to those requirements using a structured evidence map.
• Generates resume bullets that lead with outcomes rather than tasks, using the posting's exact terminology.
• Drafts cover letters under 300 words that bypass common AI vocabulary tells and clichés.
• Performs a mandatory "de-AI" pass to remove repetitive sentence structures and fluff adjectives.

Why this beats prompting it yourself

Most prompts produce "passionate" and "results-driven" fluff that recruiters ignore. This skill forces a rigorous mapping process between your real background and the job requirements, ensuring every claim is backed by evidence rather than generic praise. It includes a specific protocol to strip out the linguistic patterns that reveal a cover letter was written by an LLM.

Use cases

• Tailoring an existing resume for a specific high-stakes job application.
• Converting vague work history into quantified, ATS-optimized resume bullets.
• Drafting human-sounding cover letters that focus on evidence over enthusiasm.
• Identifying gaps in your background relative to a specific job description.

Known limitations

It will not fabricate experience or invent metrics. You must provide your real background and the full job text for it to function.