Nic's AI Resume AdvisorHow it works

Honest diagnosis. Real tailoring. No fabrication.

Most resume tools stuff keywords or tell you everything is fine. This one diagnoses the gap first, asks targeted questions to surface evidence you actually have, then tailors using only what you told it. The bullets you get back are checked twice for fabrication before you see them.

The 75% auto-rejection number is a myth — about 92% of ATS configurations don't auto-reject resumes based on content. The real problem is being ranked so low that no recruiter ever sees you.

Parsing failure causes roughly 30% of low rankings — the single biggest cause. Multi-column layouts, tables, text boxes, graphics, headers/footers, and image-based PDFs (Canva and Figma exports are common offenders) destroy parse accuracy. The downloaded output from this tool is deliberately plain — single column, standard section headings, no tables, no graphics, Calibri 11pt — because plain is what every ATS reads cleanly.

Modern systems like Workday, Greenhouse, and Lever also use semantic scoring and skill taxonomies on top of keyword matching, so vocabulary depth matters. Workday and some iCIMS configs cross-reference your resume against your LinkedIn profile. Before you submit, make the titles and dates match.

Three layers stop the AI from inventing experience you don't have. The system prompts forbid it. The Socratic intake forces real evidence into the input before tailoring runs. And a final fact-check pass rejects any bullet asserting tools, metrics, roles, or outcomes that aren't in your resume or intake answers.

This tool gives suggestions based on the inputs you provide. It is not legal advice, career-counseling advice, or a substitute for professional review. You are responsible for the accuracy of the resume you submit.

This tool is built by full/REFIT — we build operational AI systems and equip teams to use them. If a free tool can solve a problem this specific, imagine what a custom system inside your company could do.

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